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Daniela L. Rus
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2022
[j151]Xiao Li
, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7(2): 984-991 (2022)- [j150]Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus:
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7(2): 3265-3272 (2022) - [j149]Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. 7(2): 5741-5748 (2022) - [j148]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. 4(1): 26-45 (2022) - [j147]Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics. ACM Trans. Graph. 41(2): 13:1-13:21 (2022) - [c469]Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross Allen, Alexander Amini, Daniela Rus:
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS 2022: 1744-1746 - [c468]Yiyue Luo, Kui Wu, Andrew Spielberg, Michael Foshey, Daniela Rus, Tomás Palacios, Wojciech Matusik:
Digital Fabrication of Pneumatic Actuators with Integrated Sensing by Machine Knitting. CHI 2022: 175:1-175:13 - [c467]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC 2022: 954-967 - [c466]Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC 2022: 1006-1019 - [c465]Daniela Rus:
Keynote: One Robot for Every Task. PerCom 2022: 163 - [c464]James M. Bern, Leonardo Zamora Yañez, Emily Sologuren, Daniela Rus:
Contact-Rich Soft-Rigid Robots Inspired by Push Puppets. RoboSoft 2022: 607-613 - [i91]Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. CoRR abs/2202.13402 (2022) - [i90]Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus:
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR abs/2203.02401 (2022) - [i89]Wei Xiao, Christos G. Cassandras, Calin A. Belta, Daniela Rus:
Control Barrier Functions for Systems with Multiple Control Inputs. CoRR abs/2203.07978 (2022) - [i88]José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR abs/2204.02392 (2022) - [i87]Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger:
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. CoRR abs/2204.07373 (2022) - [i86]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
End-to-End Sensitivity-Based Filter Pruning. CoRR abs/2204.07412 (2022) - [i85]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR abs/2205.09117 (2022) - [i84]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR abs/2205.13542 (2022) - [i83]Aaron Ray, Alyssa Pierson, Daniela Rus:
Free-Space Ellipsoid Graphs for Multi-Agent Target Monitoring. CoRR abs/2205.15473 (2022) - [i82]Aaron Ray, Alyssa Pierson, Hai Zhu, Javier Alonso-Mora, Daniela Rus:
Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints. CoRR abs/2205.15483 (2022) - [i81]Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter:
Entangled Residual Mappings. CoRR abs/2206.01261 (2022) - 2021
- [j146]Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian-Ioan Vasile, Mark Donahue, Daniela Rus:
Learning and planning with logical automata. Auton. Robots 45(7): 1013-1028 (2021) - [j145]Francesco Di Lauro, István Zoltán Kiss, Daniela Rus, Cosimo Della Santina:
Covid-19 and Flattening the Curve: A Feedback Control Perspective. IEEE Control. Syst. Lett. 5(4): 1435-1440 (2021) - [j144]Cosimo Della Santina, Robert K. Katzschmann, Antonio Bicchi, Daniela Rus:
Editorial: Soft Robotic Modeling and Control: Bringing Together Articulated Soft Robots and Soft-Bodied Robots. Int. J. Robotics Res. 40(1) (2021) - [j143]Ryan L. Truby, Lillian Chin, Daniela Rus:
A Recipe for Electrically-Driven Soft Robots via 3D Printed Handed Shearing Auxetics. IEEE Robotics Autom. Lett. 6(2): 795-802 (2021) - [j142]Andrew Spielberg, Alexander Amini, Lillian Chin, Wojciech Matusik, Daniela Rus:
Co-Learning of Task and Sensor Placement for Soft Robotics. IEEE Robotics Autom. Lett. 6(2): 1208-1215 (2021) - [j141]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [j140]Tao Du, Josie Hughes, Sebastien Wah, Wojciech Matusik, Daniela Rus:
Underwater Soft Robot Modeling and Control With Differentiable Simulation. IEEE Robotics Autom. Lett. 6(3): 4994-5001 (2021) - [j139]Yechao Bai, Ziyuan Huang, Lyuyu Shen, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus:
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation. IEEE Robotics Autom. Lett. 6(3): 5889-5896 (2021) - [j138]Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On coresets for support vector machines. Theor. Comput. Sci. 890: 171-191 (2021) - [j137]Shinkyu Park, Michal Cáp, Javier Alonso-Mora, Carlo Ratti, Daniela Rus:
Social Trajectory Planning for Urban Autonomous Surface Vessels. IEEE Trans. Robotics 37(2): 452-465 (2021) - [j136]Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus:
Stochastic Dynamic Games in Belief Space. IEEE Trans. Robotics 37(6): 2157-2172 (2021) - [c463]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. AAAI 2021: 7657-7666 - [c462]Francesco Di Lauro, István Zoltán Kiss, Daniela Rus, Cosimo Della Santina:
Covid-19 and Flattening the Curve: a Feedback Control Perspective. ACC 2021: 3158-3163 - [c461]Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus:
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL 2021: 1144-1155 - [c460]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL 2021: 1156-1167 - [c459]Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. CoRL 2021: 1326-1335 - [c458]Teddy Ort, Nevan Hanumara, Amado Antonini, Brandon Araki, Murad Abu-Khalaf, Michael Detienne, David Hagan, Kimberly Jung, Aaron Ramirez, Shakti Shaligram, Coby Unger, Albert Kwon, Alex Slocum, Christoph Nabzdyk, Dirk Varelmann, Jay Connor, Daniela Rus, Alexander H. Slocum:
MIT Emergency-Vent: An Automated Resuscitator Bag for the COVID-19 Crisis. EMBC 2021: 4998-5004 - [c457]Jesper Karlsson, Anastasiia Varava, Cristian-Ioan Vasile, Sertac Karaman, Danica Kragic, Daniela Rus, Jana Tumova:
When to Terminate: Path Non-existence Verification Improves Sampling-based Motion Planning. ICAR 2021: 594-600 - [c456]Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman:
Deep Learning meets Projective Clustering. ICLR 2021 - [c455]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. ICML 2021: 307-317 - [c454]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML 2021: 478-489 - [c453]Lei Qin, Zefan Huang, Chen Zhang, Hongliang Guo, Marcelo H. Ang, Daniela Rus:
Deep Imitation Learning for Autonomous Navigation in Dynamic Pedestrian Environments. ICRA 2021: 4108-4115 - [c452]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. ICRA 2021: 4140-4147 - [c451]Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus:
Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA 2021: 5261-5267 - [c450]Tixiao Shan, Brendan J. Englot, Fábio Duarte, Carlo Ratti, Daniela Rus:
Robust Place Recognition using an Imaging Lidar. ICRA 2021: 5469-5475 - [c449]Tixiao Shan, Brendan J. Englot, Carlo Ratti, Daniela Rus:
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping. ICRA 2021: 5692-5698 - [c448]Wei Wang, Niklas Hagemann, Carlo Ratti, Daniela Rus:
Adaptive Nonlinear Model Predictive Control for Autonomous Surface Vessels With Largely Varying Payload. ICRA 2021: 7337-7343 - [c447]Hongliang Guo, Zefan Huang, Qi Heng Ho, Marcelo H. Ang, Daniela Rus:
Autonomous Navigation in Dynamic Environments with Multi-Modal Perception Uncertainties. ICRA 2021: 9255-9261 - [c446]Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik:
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design. ICRA 2021: 9863-9869 - [c445]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA 2021: 13247-13254 - [c444]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. ICRA 2021: 14531-14538 - [c443]Aaron Ray, Alyssa Pierson, Hai Zhu, Javier Alonso-Mora, Daniela Rus:
Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints. IROS 2021: 1515-1522 - [c442]Chen Zhang, Zefan Huang, Marcelo H. Ang, Daniela Rus:
LiDAR Degradation Quantification for Autonomous Driving in Rain. IROS 2021: 3458-3464 - [c441]Nicholas Michael Bünger, Sahil Panjwani, Malika Meghjani, Zefan Huang, Marcelo H. Ang, Daniela Rus:
Context and Orientation Aware Path Tracking. IROS 2021: 5583-5589 - [c440]Haisen Zhao, Yash Talwekar, Wenqing Lan, Chetan Sharma, Daniela Rus, Adriana Schulz, Jeffrey I. Lipton:
Robotic Jigsaw: A Non-Holonomic Cutting Robot and Path Planning Algorithm. IROS 2021: 5809-5816 - [c439]Lyuyu Shen, Hongliang Guo, Yechao Bai, Lei Qin, Marcelo H. Ang, Daniela Rus:
Group Multi-Object Tracking for Dynamic Risk Map and Safe Path Planning. IROS 2021: 6292-6298 - [c438]Alyssa Pierson, John W. Romanishin, Hunter Hansen, Leonardo Zamora Yañez, Daniela Rus:
Designing and Deploying a Mobile UVC Disinfection Robot. IROS 2021: 6700-6707 - [c437]Noam Buckman, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Semi-Cooperative Control for Autonomous Emergency Vehicles. IROS 2021: 7052-7059 - [c436]Daniela Rus:
Keynote Lecture : Learning Representations: Opportunities for Parallel and Distributed Computing. ISPDC 2021: xi - [c435]Lyuyu Shen, Hongliang Guo, Yechao Bai, Marcelo H. Ang, Daniela Rus:
AUNet: Adaptive UpdateNet for Dynamic Pedestrian Tracking with Short-Term Occlusion. ITSC 2021: 3144-3149 - [c434]Murad Abu-Khalaf, Sertac Karaman, Daniela Rus:
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis. L4DC 2021: 828-841 - [c433]Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus:
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy. MLSys 2021 - [c432]Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus:
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. NeurIPS 2021: 5328-5344 - [c431]Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus:
Causal Navigation by Continuous-time Neural Networks. NeurIPS 2021: 12425-12440 - [c430]Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Sparse Flows: Pruning Continuous-depth Models. NeurIPS 2021: 22628-22642 - [c429]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS 2021: 27209-27221 - [c428]James M. Bern, Daniela Rus:
Soft IK with Stiffness Control. RoboSoft 2021: 465-471 - [c427]Josie Hughes, Thomas Plumb-Reyes, Nicholas Charles, L. Mahadevan, Daniela Rus:
Detangling hair using feedback-driven robotic brushing. RoboSoft 2021: 487-494 - [c426]Teddy Ort, Igor Gilitschenski, Daniela Rus:
GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset. Robotics: Science and Systems 2021 - [i80]Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics with Contact. CoRR abs/2101.05917 (2021) - [i79]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR abs/2102.09812 (2021) - [i78]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. CoRR abs/2102.12571 (2021) - [i77]Tixiao Shan, Brendan J. Englot, Fabio Duarte, Carlo Ratti, Daniela Rus:
Robust Place Recognition using an Imaging Lidar. CoRR abs/2103.02111 (2021) - [i76]Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus:
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy. CoRR abs/2103.03014 (2021) - [i75]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR abs/2103.04909 (2021) - [i74]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. CoRR abs/2103.08187 (2021) - [i73]Murad Abu-Khalaf, Sertac Karaman, Daniela Rus:
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis. CoRR abs/2103.10888 (2021) - [i72]Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. CoRR abs/2103.15145 (2021) - [i71]Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus:
Low-Regret Active learning. CoRR abs/2104.02822 (2021) - [i70]Jacob Andreas, Gasper Begus, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel M. Vogt, Robert J. Wood:
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. CoRR abs/2104.08614 (2021) - [i69]Tixiao Shan, Brendan J. Englot, Carlo Ratti, Daniela Rus:
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping. CoRR abs/2104.10831 (2021) - [i68]Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUrgical PRediction GAN for Events Anticipation. CoRR abs/2105.04642 (2021) - [i67]Abhishek Tomy, Matteo Razzanelli, Francesco Di Lauro, Daniela Rus, Cosimo Della Santina:
Estimating the State of Epidemics Spreading with Graph Neural Networks. CoRR abs/2105.05060 (2021) - [i66]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR abs/2105.09932 (2021) - [i65]Yechao Bai, Ziyuan Huang, Lyuyu Shen, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus:
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation. CoRR abs/2106.01744 (2021) - [i64]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR abs/2106.07091 (2021) - [i63]Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus:
Causal Navigation by Continuous-time Neural Networks. CoRR abs/2106.08314 (2021) - [i62]Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Sparse Flows: Pruning Continuous-depth Models. CoRR abs/2106.12718 (2021) - [i61]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus:
Closed-form Continuous-Depth Models. CoRR abs/2106.13898 (2021) - [i60]Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik:
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design. CoRR abs/2107.05858 (2021) - [i59]Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Stochastic Verification of Continuous-Depth Models. CoRR abs/2107.08467 (2021) - [i58]Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus:
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. CoRR abs/2107.11442 (2021) - [i57]Cosimo Della Santina, Christian Duriez, Daniela Rus:
Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges. CoRR abs/2110.01358 (2021) - [i56]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR abs/2111.02552 (2021) - [i55]Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus:
BarrierNet: A Safety-Guaranteed Layer for Neural Networks. CoRR abs/2111.11277 (2021) - [i54]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR abs/2111.12083 (2021) - [i53]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. CoRR abs/2111.12137 (2021) - 2020
- [j135]Josie Hughes, Andrew Spielberg, Mark Chounlakone, Gloria Chang, Wojciech Matusik, Daniela Rus:
A Simple, Inexpensive, Wearable Glove with Hybrid Resistive-Pressure Sensors for Computational Sensing, Proprioception, and Task Identification. Adv. Intell. Syst. 2(6): 2000002 (2020) - [j134]Josie Hughes, Andrew Spielberg, Mark Chounlakone, Gloria Chang, Wojciech Matusik, Daniela Rus:
A Simple, Inexpensive, Wearable Glove with Hybrid Resistive-Pressure Sensors for Computational Sensing, Proprioception, and Task Identification. Adv. Intell. Syst. 2(6): 2070061 (2020) - [j133]Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus:
Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection. Auton. Robots 44(7): 1303-1322 (2020) - [j132]Cosimo Della Santina, Robert K. Katzschmann, Antonio Bicchi, Daniela Rus:
Model-based dynamic feedback control of a planar soft robot: trajectory tracking and interaction with the environment. Int. J. Robotics Res. 39(4) (2020) - [j131]Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu:
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2(10): 642-652 (2020) - [j130]Hayim Shaul, Dan Feldman, Daniela Rus:
Secure k-ish Nearest Neighbors Classifier. Proc. Priv. Enhancing Technol. 2020(3): 42-61 (2020) - [j129]Cosimo Della Santina, Daniela Rus:
Control Oriented Modeling of Soft Robots: The Polynomial Curvature Case. IEEE Robotics Autom. Lett. 5(2): 290-298 (2020) - [j128]Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus:
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5(2): 556-563 (2020) - [j127]Cosimo Della Santina, Antonio Bicchi, Daniela Rus:
On an Improved State Parametrization for Soft Robots With Piecewise Constant Curvature and Its Use in Model Based Control. IEEE Robotics Autom. Lett. 5(2): 1001-1008 (2020) - [j126]Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus:
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics Autom. Lett. 5(2): 1143-1150 (2020) - [j125]Teddy Ort, Igor Gilitschenski, Daniela Rus:
Autonomous Navigation in Inclement Weather Based on a Localizing Ground Penetrating Radar. IEEE Robotics Autom. Lett. 5(2): 3267-3274 (2020) - [j124]Ryan L. Truby, Cosimo Della Santina, Daniela Rus:
Distributed Proprioception of 3D Configuration in Soft, Sensorized Robots via Deep Learning. IEEE Robotics Autom. Lett. 5(2): 3299-3306 (2020) - [j123]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. 5(4): 5097-5104 (2020) - [j122]Cosimo Della Santina, Ryan L. Truby, Daniela Rus:
Data-Driven Disturbance Observers for Estimating External Forces on Soft Robots. IEEE Robotics Autom. Lett. 5(4): 5717-5724 (2020) - [j121]Surya Girinatha Nurzaman, Liyu Wang, Fumiya Iida, Jeffrey Lipton, Dario Floreano, Daniela Rus:
Design Optimization of Soft Robots [From the Guest Editors]. IEEE Robotics Autom. Mag. 27(4): 10-11 (2020) - [j120]