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Julie A. Shah

Julie Arnold Shah – Julie Shah

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affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA

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Journal Articles

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2024
[j34]
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Christopher K. Fourie, Nadia Figueroa, Julie A. Shah:
On-Manifold Strategies for Reactive Dynamical System Modulation With Nonconvex Obstacles. IEEE Trans. Robotics 40: 2390-2409 (2024)
2023
[j33]
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Lindsay Sanneman, Julie A. Shah:
Validating metrics for reward alignment in human-autonomy teaming. Comput. Hum. Behav. 146: 107809 (2023)
[j32]
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Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42(14): 1245-1264 (2023)
2022
[j31]
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Mycal Tucker, Yilun Zhou, Julie A. Shah:
Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. 38(18-20): 1753-1771 (2022)
[j30]
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Lindsay Sanneman, Julie A. Shah:
The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems. Int. J. Hum. Comput. Interact. 38(18-20): 1772-1788 (2022)
[j29]
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Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah:
Set-Based State Estimation With Probabilistic Consistency Guarantee Under Epistemic Uncertainty. IEEE Robotics Autom. Lett. 7(3): 5958-5965 (2022)
[j28]
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Lindsay Sanneman, Julie A. Shah:
An Empirical Study of Reward Explanations With Human-Robot Interaction Applications. IEEE Robotics Autom. Lett. 7(4): 8956-8963 (2022)
2021
[j27]
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Lindsay Sanneman, Christopher K. Fourie, Julie A. Shah:
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. Found. Trends Robotics 8(3): 225-306 (2021)
2020
[j26]
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Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah:
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67: 191-234 (2020)
[j25]
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Heitor Judiss Savino, Luciano C. A. Pimenta, Julie A. Shah, Bruno Vilhena Adorno:
Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. J. Frankl. Inst. 357(1): 142-178 (2020)
[j24]
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Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). IEEE Robotics Autom. Lett. 5(2): 3414-3421 (2020)
2018
[j23]
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Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic assistance in the coordination of patient care. Int. J. Robotics Res. 37(10) (2018)
[j22]
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Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. J. Artif. Intell. Res. 63: 1-49 (2018)
[j21]
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Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, Julie A. Shah:
Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time. IEEE Robotics Autom. Lett. 3(3): 2394-2401 (2018)
[j20]
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Vaibhav V. Unhelkar, Stefan Dörr, Alexander Bubeck, Przemyslaw A. Lasota, Jorge Perez, Ho Chit Siu, James C. Boerkoel Jr., Quirin Tyroller, Johannes Bix, Stefan Bartscher, Julie A. Shah:
Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment. IEEE Robotics Autom. Mag. 25(2): 72-81 (2018)
[j19]
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Margaret Pearce, Bilge Mutlu, Julie A. Shah, Robert G. Radwin:
Optimizing Makespan and Ergonomics in Integrating Collaborative Robots Into Manufacturing Processes. IEEE Trans Autom. Sci. Eng. 15(4): 1772-1784 (2018)
[j18]
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Ankit Shah, Lotta Blumberg, Julie A. Shah:
Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly. IEEE Trans Autom. Sci. Eng. 15(4): 1823-1838 (2018)
[j17]
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Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah:
Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. IEEE Trans. Robotics 34(1): 220-239 (2018)
2017
[j16]
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Przemyslaw A. Lasota, Terrence Fong, Julie A. Shah:
A Survey of Methods for Safe Human-Robot Interaction. Found. Trends Robotics 5(4): 261-349 (2017)
[j15]
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Henny Admoni, Julie A. Shah, Siddhartha S. Srinivasa:
Editorial: Special Issue on Human-Robot Interaction. Int. J. Robotics Res. 36(5-7): 459-460 (2017)
[j14]
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Matthew C. Gombolay, Anna Bair, Cindy Huang, Julie A. Shah:
Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. Int. J. Robotics Res. 36(5-7): 597-617 (2017)
[j13]
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Ramya Ramakrishnan, Chongjie Zhang, Julie A. Shah:
Perturbation Training for Human-Robot Teams. J. Artif. Intell. Res. 59: 495-541 (2017)
2016
[j12]
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Abhizna Butchibabu, Christopher Sparano-Huiban, Liz Sonenberg, Julie Shah:
Implicit Coordination Strategies for Effective Team Communication. Hum. Factors 58(4): 595-610 (2016)
[j11]
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  - journals/sensors/SiuSS16
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Ho Chit Siu, Julie A. Shah, Leia Stirling:
Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography. Sensors 16(11): 1782 (2016)
[j10]
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Joseph Kim, Julie A. Shah:
Improving Team's Consistency of Understanding in Meetings. IEEE Trans. Hum. Mach. Syst. 46(5): 625-637 (2016)
2015
[j9]
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Matthew C. Gombolay, Reymundo A. Gutierrez, Shanelle G. Clarke, Giancarlo F. Sturla, Julie A. Shah:
Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. Auton. Robots 39(3): 293-312 (2015)
[j8]
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Przemyslaw A. Lasota, Julie A. Shah:
Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human-Robot Collaboration. Hum. Factors 57(1): 21-33 (2015)
[j7]
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Stefanos Nikolaidis, Przemyslaw A. Lasota, Ramya Ramakrishnan, Julie A. Shah:
Improved human-robot team performance through cross-training, an approach inspired by human team training practices. Int. J. Robotics Res. 34(14): 1711-1730 (2015)
[j6]
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Been Kim, Caleb M. Chacha, Julie A. Shah:
Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior. J. Artif. Intell. Res. 52: 361-398 (2015)
[j5]
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Maurice F. Fallon, Scott Kuindersma, Sisir Karumanchi, Matthew E. Antone, Toby Schneider, Hongkai Dai, Claudia Pérez-D'Arpino, Robin Deits, Matt DiCicco, Dehann Fourie, Twan Koolen, Pat Marion, Michael Posa, Andres Valenzuela, Kuan-Ting Yu, Julie A. Shah, Karl Iagnemma, Russ Tedrake, Seth J. Teller:
An Architecture for Online Affordance-based Perception and Whole-body Planning. J. Field Robotics 32(2): 229-254 (2015)
2014
[j4]
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Matthew C. Gombolay, Julie A. Shah:
Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints. J. Aerosp. Inf. Syst. 11(12): 821-841 (2014)
2010
[j3]
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  - journals/hf/ShahB10
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Julie A. Shah, Cynthia Breazeal:
An Empirical Analysis of Team Coordination Behaviors and Action Planning With Application to Human-Robot Teaming. Hum. Factors 52(2): 234-245 (2010)
2008
[j2]
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Julie A. Shah, Joseph H. Saleh, Jeffrey A. Hoffman:
Analytical basis for evaluating the effect of unplanned interventions on the effectiveness of a human-robot system. Reliab. Eng. Syst. Saf. 93(8): 1280-1286 (2008)
2007
[j1]
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Julie A. Shah, Joseph H. Saleh, Jeffrey A. Hoffman:
Review and Synthesis of Considerations in Architecting Heterogeneous Teams of Humans and Robots for Optimal Space Exploration. IEEE Trans. Syst. Man Cybern. Part C 37(5): 779-793 (2007)

Conference and Workshop Papers

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2024
[c104]
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  - conf/hri/BobuPASD24
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Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan:
Aligning Human and Robot Representations. HRI 2024: 42-54
[c103]
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  - conf/hri/PengBLSSK0S24
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Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah:
Preference-Conditioned Language-Guided Abstraction. HRI 2024: 572-581
2023
[c102]
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  - conf/aaai/BoothKSNSA23
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Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi:
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. AAAI 2023: 5920-5929
[c101]
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  - conf/eaamo/Bondi-KellyHSSH23
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Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi:
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO 2023: 4:1-4:14
[c100]
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Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. EACL (Findings) 2023: 2354-2370
[c99]
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Lindsay Sanneman, Julie Shah:
Transparent Value Alignment. HRI (Companion) 2023: 557-560
[c98]
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Eoin M. Kenny, Mycal Tucker, Julie Shah:
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. ICLR 2023
[c97]
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Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML 2023: 27630-27641
[c96]
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Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai:
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. IJCAI 2023: 2958-2966
[c95]
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Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah:
Human-Guided Complexity-Controlled Abstractions. NeurIPS 2023
2022
[c94]
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  - conf/aaai/ZhouBRS22
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Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022: 9623-9633
[c93]
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  - conf/corl/WangFL0S22
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Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRL 2022: 94-105
[c92]
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  - conf/hri/BoothSCSG22
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Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman:
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. HRI 2022: 147-156
[c91]
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  - conf/hri/FourieFSBBBSACK22
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Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benoît G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Günther Knoblich, Wafa Johal, Dagmar Sternad, Malte F. Jung:
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. HRI 2022: 1250-1253
[c90]
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  - conf/icml/TuckerS22
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Mycal Tucker, Julie A. Shah:
Prototype Based Classification from Hierarchy to Fairness. ICML 2022: 21884-21900
[c89]
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  - conf/naacl/ZhouRS22
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Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. NAACL-HLT 2022: 5359-5378
[c88]
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  - conf/naacl/TuckerEQLS22
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Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah:
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. NAACL-HLT 2022: 5393-5408
[c87]
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Mycal Tucker, Roger Levy, Julie A. Shah, Noga Zaslavsky:
Trading off Utility, Informativeness, and Complexity in Emergent Communication. NeurIPS 2022
2021
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Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah:
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI 2021: 11423-11432
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Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar:
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CogSIMA 2021: 39-44
[c84]
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Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRL 2021: 850-860
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Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy:
Reactive Task and Motion Planning under Temporal Logic Specifications. ICRA 2021: 12618-12624
[c82]
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Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie A. Shah:
Emergent Discrete Communication in Semantic Spaces. NeurIPS 2021: 10574-10586
[c81]
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Shen Li, Nadia Figueroa, Ankit J. Shah, Julie A. Shah:
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics. Robotics: Science and Systems 2021
2020
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Lindsay M. Sanneman, Julie A. Shah:
A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. EXTRAAMAS@AAMAS 2020: 94-110
[c79]
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Vaibhav V. Unhelkar, Shen Li, Julie A. Shah:
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI 2020: 329-341
[c78]
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Ankit J. Shah, Julie Shah:
Interactive Robot Training for Temporal Tasks. HRI (Companion) 2020: 603-605
2019
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Vaibhav V. Unhelkar, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. AAAI 2019: 2522-2530
[c76]
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Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz:
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI 2019: 6137-6145
[c75]
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Vaibhav V. Unhelkar, Shen Li, Julie A. Shah:
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL 2019: 192-203
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  - conf/hri/WelfareHSR19
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Katherine S. Welfare, Matthew R. Hallowell, Julie A. Shah, Laurel D. Riek:
Consider the Human Work Experience When Integrating Robotics in the Workplace. HRI 2019: 75-84
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Shen Li, Julie A. Shah:
Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. ICRA 2019: 5012-5018
[c72]
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Tariq Iqbal, Shen Li, Christopher K. Fourie, Bradley Hayes, Julie A. Shah:
Fast Online Segmentation of Activities from Partial Trajectories. ICRA 2019: 5019-5025
[c71]
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Alyssa Kubota, Tariq Iqbal, Julie A. Shah, Laurel D. Riek:
Activity recognition in manufacturing: The roles of motion capture and sEMG+inertial wearables in detecting fine vs. gross motion. ICRA 2019: 6533-6539
[c70]
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Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah:
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. IJCAI 2019: 5591-5598
[c69]
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Serena Booth, Christian Muise, Julie Shah:
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. IJCAI 2019: 5801-5807
[c68]
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Priyam Parashar, Lindsay M. Sanneman, Julie A. Shah, Henrik I. Christensen:
A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams. IROS 2019: 2213-2220
[c67]
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Przemyslaw A. Lasota, Julie A. Shah:
Bayesian Estimator for Partial Trajectory Alignment. Robotics: Science and Systems 2019
[c66]
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Yilun Zhou, Julie Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI 2019: 50-56
[c65]
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Yilun Zhou, Steven Schockaert, Julie Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW 2019: 2460-2471
2018
[c64]
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Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. AAMAS 2018: 1017-1025
[c63]
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Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah:
Learning to Infer Final Plans in Human Team Planning. IJCAI 2018: 4771-4779
[c62]
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Vaibhav V. Unhelkar, Julie A. Shah:
Learning and Communicating the Latent States of Human-Machine Collaboration. IJCAI 2018: 5789-5790
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Kyle Kotowick, Julie Shah:
Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems. IUI 2018: 115-127
[c60]
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Ankit Shah, Pritish Kamath, Julie A. Shah, Shen Li:
Bayesian Inference of Temporal Task Specifications from Demonstrations. NeurIPS 2018: 3808-3817
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Elizabeth Broadbent, Deborah Johanson, Julie Shah:
A New Model to Enhance Robot-Patient Communication: Applying Insights from the Medical World. ICSR 2018: 308-317
[c58]
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Kyle Kotowick, Julie Shah:
Effects of an Adaptive Modality Selection Algorithm for Navigation Systems. UIST 2018: 543-556
2017
[c57]
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Matthew Craig Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah:
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling. AAAI Workshops 2017
[c56]
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Joseph Kim, Christopher J. Banks, Julie A. Shah:
Collaborative Planning with Encoding of Users' High-Level Strategies. AAAI 2017: 955-962
[c55]
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Joseph Kim, Julie A. Shah:
Towards Intelligent Decision Support in Human Team Planning. AAAI Fall Symposia 2017: 264-268
[c54]
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Julie A. Shah:
Enhancing Human Capability with Intelligent Machine Teammates. AAMAS 2017: 4
[c53]
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Bradley Hayes, Julie A. Shah:
Improving Robot Controller Transparency Through Autonomous Policy Explanation. HRI 2017: 303-312
[c52]
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  - conf/hri/YangULS17
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X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah:
Evaluating Effects of User Experience and System Transparency on Trust in Automation. HRI 2017: 408-416
[c51]
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Claudia Pérez-D'Arpino, Peter Agoos, Andrew Zamore, David R. Gammons, Evie Kyritsis, Julie A. Shah:
A Theatrical Mobile-Dexterous Robot Directed through Shared Autonomy. HRI (Companion) 2017: 416
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Przemyslaw A. Lasota, Julie A. Shah:
A multiple-predictor approach to human motion prediction. ICRA 2017: 2300-2307
[c49]
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Claudia Pérez-D'Arpino, Julie A. Shah:
C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy. ICRA 2017: 4058-4065
[c48]
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Bradley Hayes, Julie A. Shah:
Interpretable models for fast activity recognition and anomaly explanation during collaborative robotics tasks. ICRA 2017: 6586-6593
[c47]
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Kyle Kotowick, Julie Shah:
Intelligent Sensory Modality Selection for Electronic Supportive Devices. IUI 2017: 55-66
2016
[c46]
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Vaibhav V. Unhelkar, Julie A. Shah:
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. AAAI 2016: 2544-2550
[c45]
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Ramya Ramakrishnan, Julie A. Shah:
Towards Interpretable Explanations for Transfer Learning in Sequential Tasks. AAAI Spring Symposia 2016
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Ankit J. Shah, Julie A. Shah:
Towards manipulation planning for multiple interlinked deformable linear objects. ICRA 2016: 3908-3915
[c43]
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Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah:
Apprenticeship Scheduling: Learning to Schedule from Human Experts. IJCAI 2016: 826-833
[c42]
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Chongjie Zhang, Julie A. Shah:
Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling. IJCAI 2016: 3308-3314
[c41]
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Claudia Pérez-D'Arpino, Julie A. Shah:
Fast Motion Prediction for Collaborative Robotics. IJCAI 2016: 3988-3989
[c40]
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Chongjie Zhang, Julie A. Shah:
Co-optimizing task and motion planning. IROS 2016: 4750-4756
[c39]
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Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic Assistance in Coordination of Patient Care. Robotics: Science and Systems 2016
2015
[c38]
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Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah:
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. AAAI 2015: 1763-1769
[c37]
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Chongjie Zhang, Julie A. Shah:
On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison. AAAI 2015: 3642-3648
[c36]
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Matthew Craig Gombolay, Cindy Huang, Julie A. Shah:
Coordination of Human-Robot Teaming with Human Task Preferences. AAAI Fall Symposia 2015: 68-73
[c35]
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Stefanos Nikolaidis, Ramya Ramakrishnan, Keren Gu, Julie A. Shah:
Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks. HRI 2015: 189-196
[c34]
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Vaibhav Vasant Unhelkar, Julie A. Shah:
Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines. HRI (Extended Abstracts) 2015: 239-240
[c33]
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Bradley Hayes, Matthew C. Gombolay, Malte F. Jung, Koen V. Hindriks, Joachim de Greeff, Catholijn M. Jonker, Mark A. Neerincx, Jeffrey M. Bradshaw, Matthew Johnson, Ivana Kruijff-Korbayová, Maarten Sierhuis, Julie A. Shah, Brian Scassellati:
HRI Workshop on Human-Robot Teaming. HRI (Extended Abstracts) 2015: 255-256
[c32]
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Aurélie Clodic, Rachid Alami, Cordula Vesper, Elisabeth Pacherie, Bilge Mutlu, Julie A. Shah:
FJA@HRI15: Towards a Framework for Joint Action. HRI (Extended Abstracts) 2015: 259-260
[c31]
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Claudia Pérez-D'Arpino, Julie A. Shah:
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. ICRA 2015: 6175-6182
[c30]
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Vaibhav V. Unhelkar, Claudia Pérez-D'Arpino, Leia Stirling, Julie A. Shah:
Human-robot co-navigation using anticipatory indicators of human walking motion. ICRA 2015: 6183-6190
[c29]
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Been Kim, Julie A. Shah, Finale Doshi-Velez:
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction. NIPS 2015: 2260-2268
2014
[c28]
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Matthew Craig Gombolay, Julie Arnold Shah:
Challenges in Collaborative Scheduling of Human-Robot Teams. AAAI Fall Symposia 2014
[c27]
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Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan, Julie A. Shah:
Learning Human Types from Demonstration. AAAI Fall Symposia 2014
[c26]
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Przemyslaw A. Lasota, Gregory F. Rossano, Julie A. Shah:
Toward safe close-proximity human-robot interaction with standard industrial robots. CASE 2014: 339-344
[c25]
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Vaibhav V. Unhelkar, Ho Chit Siu, Julie A. Shah:
Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. HRI 2014: 82-89
[c24]
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Russ Tedrake, Maurice F. Fallon, Sisir Karumanchi, Scott Kuindersma, Matthew E. Antone, Toby Schneider, Thomas M. Howard, Matthew R. Walter, Hongkai Dai, Robin Deits, Michael Fleder, Dehann Fourie, Riad I. Hammoud, Sachithra Hemachandra, P. Ilardi, Claudia Pérez-D'Arpino, Sudeep Pillai, Andres Valenzuela, Cecilia Cantu, C. Dolan, I. Evans, S. Jorgensen, J. Kristeller, Julie A. Shah, Karl Iagnemma, Seth J. Teller:
A summary of team MIT's approach to the virtual robotics challenge. ICRA 2014: 2087
[c23]
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Vaibhav V. Unhelkar, Jorge Perez, James C. Boerkoel Jr., Johannes Bix, Stefan Bartscher, Julie A. Shah:
Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines. ICRA 2014: 4161-4167
[c22]
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Been Kim, Cynthia Rudin, Julie A. Shah:
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. NIPS 2014: 1952-1960
[c21]
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Chongjie Zhang, Julie A. Shah:
Fairness in Multi-Agent Sequential Decision-Making. NIPS 2014: 2636-2644
[c20]
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Matthew C. Gombolay, Reymundo Gutierrez, Giancarlo Sturla, Julie A. Shah:
Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams. Robotics: Science and Systems 2014
[c19]
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Joseph Kim, Julie A. Shah:
Automatic prediction of consistency among team members' understanding of group decisions in meetings. SMC 2014: 3702-3708
2013
[c18]
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Been Kim, Caleb M. Chacha, Julie A. Shah:
Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. AAAI 2013: 1394-1400
[c17]
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James C. Boerkoel Jr., Léon Planken, Ronald Wilcox, Julie A. Shah:
Distributed Algorithms for Incrementally Maintaining Multiagent Simple Temporal Networks. ICAPS 2013
[c16]
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Been Kim, Larry A. M. Bush, Julie Shah:
Quantitative estimation of the strength of agreements in goal-oriented meetings. CogSIMA 2013: 38-44
[c15]
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Stefanos Nikolaidis, Julie A. Shah:
Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy. HRI 2013: 33-40
[c14]
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Stefanos Nikolaidis, Przemyslaw A. Lasota, Gregory F. Rossano, Carlos Martínez, Thomas A. Fuhlbrigge, Julie A. Shah:
Human-robot collaboration in manufacturing: Quantitative evaluation of predictable, convergent joint action. ISR 2013: 1-6
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Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah:
Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints. Robotics: Science and Systems 2013
2012
[c12]
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Julie A. Shah, Been Kim, Stefanos Nikolaidis:
Human-Inspired Techniques for Human-Machine Team Planning. AAAI Fall Symposium: Human Control of Bioinspired Swarms 2012
[c11]
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Matthew C. Gombolay, Julie A. Shah:
A Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints. Infotech@Aerospace 2012
[c10]
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Stefanos Nikolaidis, Julie A. Shah:
Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach. Infotech@Aerospace 2012
[c9]
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  - conf/itaero/WilcoxS12
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Ronald Wilcox, Julie A. Shah:
Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing. Infotech@Aerospace 2012
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Ronald Wilcox, Stefanos Nikolaidis, Julie A. Shah:
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing. Robotics: Science and Systems 2012
2011
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Julie A. Shah, James Wiken, Brian Charles Williams, Cynthia Breazeal:
Improved human-robot team performance using chaski, a human-inspired plan execution system. HRI 2011: 29-36
2010
[c6]
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Julie A. Shah, Brian Charles Williams, Cynthia Breazeal:
Dynamic Execution of Temporal Plans for Temporally Fluid Human-Robot Teaming. AAAI Spring Symposium: It's All in the Timing 2010
2009
[c5]
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Patrick R. Conrad, Julie A. Shah, Brian Charles Williams:
Flexible Execution of Plans with Choice. ICAPS 2009
[c4]
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Julie A. Shah, Patrick R. Conrad, Brian Charles Williams:
Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling. ICAPS 2009
2008
[c3]
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Julie A. Shah, Brian Charles Williams:
Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation. ICAPS 2008: 322-329
2007
[c2]
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Julie A. Shah, John Stedl, Brian Charles Williams, Paul Robertson:
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans. ICAPS 2007: 296-303
2006
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Terrence Fong, Jean Scholtz, Julie A. Shah, Lorenzo Flückiger, Clayton Kunz, David Lees, John Schreiner, Michael D. Siegel, Laura M. Hiatt, Illah R. Nourbakhsh, Reid G. Simmons, Robert O. Ambrose, Robert R. Burridge, Brian Antonishek, Magdalena D. Bugajska, Alan C. Schultz, J. Gregory Trafton:
A Preliminary Study of Peer-to-Peer Human-Robot Interaction. SMC 2006: 3198-3203

Informal and Other Publications

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2024
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Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah:
Preference-Conditioned Language-Guided Abstraction. CoRR abs/2402.03081 (2024)
[i49]
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  - journals/corr/abs-2402-15427
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Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung:
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. CoRR abs/2402.15427 (2024)
[i48]
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  - journals/corr/abs-2402-18759
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Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah:
Learning with Language-Guided State Abstractions. CoRR abs/2402.18759 (2024)
[i47]
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  - journals/corr/abs-2403-08231
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Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa:
Object Permanence Filter for Robust Tracking with Interactive Robots. CoRR abs/2403.08231 (2024)
[i46]
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  - journals/corr/abs-2403-17124
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Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR abs/2403.17124 (2024)
2023
[i45]
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  - journals/corr/abs-2302-01928
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Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan:
Aligning Robot and Human Representations. CoRR abs/2302.01928 (2023)
[i44]
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  - journals/corr/abs-2305-11271
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Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai:
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. CoRR abs/2305.11271 (2023)
[i43]
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  - journals/corr/abs-2307-06333
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Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR abs/2307.06333 (2023)
[i42]
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  - journals/corr/abs-2310-07802
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Lindsay Sanneman, Mycal Tucker, Julie Shah:
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff. CoRR abs/2310.07802 (2023)
[i41]
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  - journals/corr/abs-2310-17550
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Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah:
Human-Guided Complexity-Controlled Abstractions. CoRR abs/2310.17550 (2023)
2022
[i40]
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  - journals/corr/abs-2201-07452
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Seth Karten, Siddharth Agrawal, Mycal Tucker, Dana Hughes, Michael Lewis, Julie Shah, Katia P. Sycara:
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. CoRR abs/2201.07452 (2022)
[i39]
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  - journals/corr/abs-2201-12938
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Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia P. Sycara, Julie Shah:
Probe-Based Interventions for Modifying Agent Behavior. CoRR abs/2201.12938 (2022)
[i38]
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  - journals/corr/abs-2204-09722
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Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah:
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. CoRR abs/2204.09722 (2022)
[i37]
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  - journals/corr/abs-2205-00130
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Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. CoRR abs/2205.00130 (2022)
[i36]
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  - journals/corr/abs-2205-08696
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Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. CoRR abs/2205.08696 (2022)
[i35]
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  - journals/corr/abs-2205-13997
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Mycal Tucker, Julie Shah:
Prototype Based Classification from Hierarchy to Fairness. CoRR abs/2205.13997 (2022)
[i34]
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  - journals/corr/abs-2206-04632
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Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRR abs/2206.04632 (2022)
[i33]
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  - journals/corr/abs-2207-00088
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Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky:
Towards Human-Agent Communication via the Information Bottleneck Principle. CoRR abs/2207.00088 (2022)
[i32]
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  - journals/corr/abs-2210-15767
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Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven Sloman, Shannon Vallor, Toby Walsh:
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. CoRR abs/2210.15767 (2022)
[i31]
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  - journals/corr/abs-2211-06318
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Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller:
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR abs/2211.06318 (2022)
2021
[i30]
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  - journals/corr/abs-2102-08507
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Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar:
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CoRR abs/2102.08507 (2021)
[i29]
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  - journals/corr/abs-2103-14464
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Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy:
Reactive Task and Motion Planning under Temporal Logic Specifications. CoRR abs/2103.14464 (2021)
[i28]
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  - journals/corr/abs-2103-15171
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Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah:
A Bayesian Approach to Identifying Representational Errors. CoRR abs/2103.15171 (2021)
[i27]
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Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? CoRR abs/2104.14403 (2021)
[i26]
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  - journals/corr/abs-2107-02912
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Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian Specification Inference from Demonstrations. CoRR abs/2107.02912 (2021)
[i25]
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Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah:
Emergent Discrete Communication in Semantic Spaces. CoRR abs/2108.01828 (2021)
[i24]
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  - journals/corr/abs-2110-04192
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Lindsay Sanneman, Julie Shah:
Explaining Reward Functions to Humans for Better Human-Robot Collaboration. CoRR abs/2110.04192 (2021)
[i23]
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  - journals/corr/abs-2110-07550
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Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou:
The Irrationality of Neural Rationale Models. CoRR abs/2110.07550 (2021)
[i22]
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  - journals/corr/abs-2110-09584
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Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah:
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty. CoRR abs/2110.09584 (2021)
2020
[i21]
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  - journals/corr/abs-2001-03076
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Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah:
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR abs/2001.03076 (2020)
[i20]
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  - journals/corr/abs-2001-05994
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Mycal Tucker, Yilun Zhou, Julie Shah:
Adversarially Guided Self-Play for Adopting Social Conventions. CoRR abs/2001.05994 (2020)
[i19]
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  - journals/corr/abs-2002-10248
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Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah:
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR abs/2002.10248 (2020)
[i18]
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  - journals/corr/abs-2003-02232
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Ankit Shah, Julie Shah:
Interactive Robot Training for Non-Markov Tasks. CoRR abs/2003.02232 (2020)
[i17]
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  - journals/corr/abs-2005-05940
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Lindsay M. Sanneman, Julie A. Shah:
Trust Considerations for Explainable Robots: A Human Factors Perspective. CoRR abs/2005.05940 (2020)
[i16]
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  - journals/corr/abs-2010-14537
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Lindsay Sanneman, Christopher K. Fourie, Julie A. Shah:
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. CoRR abs/2010.14537 (2020)
[i15]
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  - journals/corr/abs-2011-10898
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Claudia Pérez-D'Arpino, Rebecca P. Khurshid, Julie A. Shah:
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators. CoRR abs/2011.10898 (2020)
[i14]
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  - journals/corr/abs-2012-13615
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Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRR abs/2012.13615 (2020)
2019
[i13]
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  - journals/corr/abs-1902-07831
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Yilun Zhou, Steven Schockaert, Julie A. Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR abs/1902.07831 (2019)
[i12]
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  - journals/corr/abs-1906-03218
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Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). CoRR abs/1906.03218 (2019)
[i11]
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  - journals/corr/abs-1909-05232
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Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah:
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR abs/1909.05232 (2019)
[i10]
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Yilun Zhou, Julie A. Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. CoRR abs/1909.06414 (2019)
[i9]
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  - journals/dagstuhl-reports/AndrePSS19
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Elisabeth André, Ana Paiva, Julie Shah, Selma Sabanovic:
Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411). Dagstuhl Reports 9(10): 1-46 (2019)
2018
[i8]
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  - journals/corr/abs-1805-04220
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Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. CoRR abs/1805.04220 (2018)
[i7]
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  - journals/corr/abs-1805-08966
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Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. CoRR abs/1805.08966 (2018)
[i6]
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  - journals/corr/abs-1810-08871
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Heitor Judiss Savino, Luciano C. A. Pimenta, Julie A. Shah, Bruno Vilhena Adorno:
Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. CoRR abs/1810.08871 (2018)
2017
[i5]
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  - journals/corr/NikolaidisFHSS17
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Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017)
2016
[i4]
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  - journals/corr/AbbeelGHS16
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Pieter Abbeel, Ken Goldberg, Gregory D. Hager, Julie Shah:
Toward a Science of Autonomy for Physical Systems: Paths. CoRR abs/1609.05814 (2016)
2015
[i3]
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  - journals/corr/KimRS15
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Been Kim, Cynthia Rudin, Julie A. Shah:
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. CoRR abs/1503.01161 (2015)
2014
[i2]
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  - journals/corr/NikolaidisGRS14
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Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan, Julie A. Shah:
Efficient Model Learning for Human-Robot Collaborative Tasks. CoRR abs/1405.6341 (2014)
2013
[i1]
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  - journals/corr/KimCS13
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Been Kim, Caleb M. Chacha, Julie A. Shah:
Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. CoRR abs/1306.0963 (2013)

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