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ORCIDSubramanian Ramamoorthy
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2020 – today
- 2024
[j34]Dhaminda B. Abeywickrama, Amel Bennaceur
, Greg Chance, Yiannis Demiris, Anastasia Kordoni, Mark Levine, Luke Moffat, Luc Moreau, Mohammad Reza Mousavi, Bashar Nuseibeh, Subramanian Ramamoorthy, Jan Oliver Ringert, James Wilson, Shane Windsor, Kerstin Eder:
On Specifying for Trustworthiness. Commun. ACM 67(1): 98-109 (2024)- [c86]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c85]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Generating robotic elliptical excisions with human-like tool-tissue interactions. ICRA 2024: 15017-15023 - [i86]Nikolaos Tsagkas, Jack Rome, Subramanian Ramamoorthy, Oisin Mac Aodha, Chris Xiaoxuan Lu:
Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors. CoRR abs/2403.14526 (2024) - [i85]Craig Innes, Subramanian Ramamoorthy:
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations. CoRR abs/2405.15771 (2024) - [i84]Longfei Chen, Muhammad Ahmed Raza, Craig Innes, Subramanian Ramamoorthy, Robert B. Fisher:
Unobtrusive Monitoring of Physical Weakness: A Simulated Approach. CoRR abs/2406.10045 (2024) - [i83]Longfei Chen, Subramanian Ramamoorthy, Robert B. Fisher:
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare. CoRR abs/2408.09409 (2024) - [i82]Peter David Fagan, Subramanian Ramamoorthy:
Learning from Demonstration with Implicit Nonlinear Dynamics Models. CoRR abs/2409.18768 (2024) - 2023
- [j33]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots 47(6): 733-751 (2023) - [j32]Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. IEEE Robotics Autom. Lett. 8(8): 4887-4894 (2023) - [j31]Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula:
Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? IEEE Trans. Intell. Transp. Syst. 24(7): 7166-7177 (2023) - [c84]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs using the Udwadia-Kalaba Method. ICRA 2023: 5034-5040 - [c83]Craig Innes, Subramanian Ramamoorthy:
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. ICRA 2023: 12744-12750 - [c82]Craig Innes, Andrew Ireland, Yuhui Lin, Subramanian Ramamoorthy:
Anticipating Accidents through Reasoned Simulation. TAS 2023: 4:1-4:11 - [i81]Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy:
Interactive Acquisition of Fine-grained Visual Concepts by Exploiting Semantics of Generic Characterizations in Discourse. CoRR abs/2305.03461 (2023) - [i80]Anthony Knittel, Morris Antonello, John Redford, Subramanian Ramamoorthy:
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving. CoRR abs/2305.15942 (2023) - [i79]Craig Innes, Andrew Ireland, Yuhui Lin, Subramanian Ramamoorthy:
Anticipating Accidents through Reasoned Simulation. CoRR abs/2306.04499 (2023) - [i78]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Generating robotic elliptical excisions with human-like tool-tissue interactions. CoRR abs/2309.12219 (2023) - 2022
- [j30]Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Perspectives on the system-level design of a safe autonomous driving stack. AI Commun. 35(4): 285-294 (2022) - [j29]John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, Subramanian Ramamoorthy:
Formation control for UAVs using a Flux Guided approach. Expert Syst. Appl. 205: 117665 (2022) - [j28]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(2): 4488-4495 (2022) - [j27]Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. IEEE Trans. Robotics 38(2): 822-834 (2022) - [c81]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [c80]Craig Innes, Subramanian Ramamoorthy:
Automated Testing With Temporal Logic Specifications for Robotic Controllers Using Adaptive Experiment Design. ICRA 2022: 6814-6821 - [c79]Yordan Tsvetkov, Subramanian Ramamoorthy:
A Novel Design and Evaluation of a Dactylus-Equipped Quadruped Robot for Mobile Manipulation. IROS 2022: 1633-1638 - [c78]Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. IROS 2022: 9829-9836 - [c77]Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. IROS 2022: 11031-11038 - [c76]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - [i77]Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy:
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. CoRR abs/2201.11674 (2022) - [i76]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. CoRR abs/2202.06003 (2022) - [i75]Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. CoRR abs/2202.12977 (2022) - [i74]Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. CoRR abs/2203.08251 (2022) - [i73]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - [i72]Carlo Tiseo, Quentin Rouxel, Martin Asenov, Keyhan Kouhkiloui Babarahmati, Subramanian Ramamoorthy, Zhibin Li, Michael N. Mistry:
Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics. CoRR abs/2206.09906 (2022) - [i71]Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula:
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? CoRR abs/2206.11110 (2022) - [i70]Dhaminda B. Abeywickrama, Amel Bennaceur, Greg Chance, Yiannis Demiris, Anastasia Kordoni, Mark Levine, Luke Moffat, Luc Moreau, Mohammad Reza Mousavi, Bashar Nuseibeh, Subramanian Ramamoorthy, Jan Oliver Ringert, James Wilson, Shane Windsor, Kerstin Eder:
On Specifying for Trustworthiness. CoRR abs/2206.11421 (2022) - [i69]Yordan Tsvetkov, Subramanian Ramamoorthy:
A Novel Design and Evaluation of a Dactylus-Equipped Quadruped Robot for Mobile Manipulation. CoRR abs/2207.08765 (2022) - [i68]Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Perspectives on the System-level Design of a Safe Autonomous Driving Stack. CoRR abs/2208.00096 (2022) - [i67]Craig Innes, Subramanian Ramamoorthy:
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. CoRR abs/2209.09674 (2022) - [i66]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. CoRR abs/2209.12039 (2022) - [i65]Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
DiPA: Diverse and Probabilistically Accurate Interactive Prediction. CoRR abs/2210.06106 (2022) - 2021
- [j26]Joe Hays, Subramanian Ramamoorthy, Christian Tetzlaff:
Editorial: Robust Artificial Intelligence for Neurorobotics. Frontiers Neurorobotics 15: 809903 (2021) - [j25]Sergio D. Sierra Marín, Daniel Gomez-Vargas, Nathalia Céspedes, Marcela C. Múnera, Flavio Roberti, Patricio Barria, Subramanian Ramamoorthy, Marcelo Becker, Ricardo O. Carelli, Carlos A. Cifuentes:
Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic. Frontiers Robotics AI 8: 612746 (2021) - [j24]Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes. IEEE Robotics Autom. Lett. 6(2): 707-714 (2021) - [j23]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action Sequencing Using Visual Permutations. IEEE Robotics Autom. Lett. 6(2): 1745-1752 (2021) - [j22]Paola Ardón, Maria E. Cabrera, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan, Maya Cakmak:
Affordance-Aware Handovers With Human Arm Mobility Constraints. IEEE Robotics Autom. Lett. 6(2): 3136-3143 (2021) - [c75]Francisco Javier Chiyah Garcia, Simón C. Smith, José Lopes, Subramanian Ramamoorthy, Helen F. Hastie:
Self-Explainable Robots in Remote Environments. HRI (Companion) 2021: 662-664 - [c74]Yordan Hristov, Subramanian Ramamoorthy:
Learning from Demonstration with Weakly Supervised Disentanglement. ICLR 2021 - [c73]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Interpretable Goal-based Prediction and Planning for Autonomous Driving. ICRA 2021: 1043-1049 - [c72]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. ICRA 2021: 9446-9452 - [c71]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. IJCAI 2021: 4302-4311 - [c70]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. IROS 2021: 1442-1449 - [c69]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. IROS 2021: 6546-6551 - [c68]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS 2021: 7044-7051 - [c67]Jack Geary, Subramanian Ramamoorthy, Henry Gouk:
Resolving Conflict in Decision-Making for Autonomous Driving. Robotics: Science and Systems 2021 - [i64]John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, Subramanian Ramamoorthy:
Formation Control for UAVs Using a Flux Guided Approach. CoRR abs/2103.09184 (2021) - [i63]Michael Burke, Subramanian Ramamoorthy:
Learning data association without data association: An EM approach to neural assignment prediction. CoRR abs/2105.00369 (2021) - [i62]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. CoRR abs/2105.06706 (2021) - [i61]Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy:
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. CoRR abs/2107.00093 (2021) - [i60]Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier:
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR abs/2107.03186 (2021) - [i59]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR abs/2108.02530 (2021) - [i58]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. CoRR abs/2108.03150 (2021) - [i57]Craig Innes, Subramanian Ramamoorthy:
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design. CoRR abs/2109.08071 (2021) - [i56]Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy:
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. CoRR abs/2109.10432 (2021) - [i55]Jack Geary, Henry Gouk, Subramanian Ramamoorthy:
Active Altruism Learning and Information Sufficiency for Autonomous Driving. CoRR abs/2110.04580 (2021) - [i54]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng:
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021) - 2020
- [j21]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. Auton. Agents Multi Agent Syst. 34(2): 45 (2020) - [j20]Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower dimensional kernels for video discriminators. Neural Networks 132: 506-520 (2020) - [j19]Andrew Blake, Alejandro Bordallo, Kamen Brestnichki, Majd Hawasly, Svetlin Valentinov Penkov, Subramanian Ramamoorthy, Alexandre Silva:
FPR - Fast Path Risk Algorithm to Evaluate Collision Probability. IEEE Robotics Autom. Lett. 5(1): 1-7 (2020) - [j18]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics Autom. Lett. 5(2): 414-421 (2020) - [j17]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5(2): 2658-2665 (2020) - [j16]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". IEEE Robotics Autom. Lett. 5(2): 2872 (2020) - [c66]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. ICDL-EPIROB 2020: 1-8 - [c65]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. ICRA 2020: 4623-4629 - [c64]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions. IROS 2020: 5351-5357 - [c63]Paola Ardón, Èric Pairet, Yvan R. Pétillot, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Self-Assessment of Grasp Affordance Transfer. IROS 2020: 9385-9392 - [c62]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. Robotics: Science and Systems 2020 - [c61]Simón C. Smith, Subramanian Ramamoorthy:
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study. AREA@ECAI 2020: 81-101 - [i53]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. CoRR abs/2002.00784 (2020) - [i52]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR abs/2002.01240 (2020) - [i51]Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. CoRR abs/2002.02215 (2020) - [i50]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. CoRR abs/2002.02277 (2020) - [i49]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Affordances in Robotic Tasks - A Survey. CoRR abs/2004.07400 (2020) - [i48]Yordan Hristov, Subramanian Ramamoorthy:
Learning from Demonstration with Weakly Supervised Disentanglement. CoRR abs/2006.09107 (2020) - [i47]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR abs/2006.11300 (2020) - [i46]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Self-Assessment of Grasp Affordance Transfer. CoRR abs/2007.02132 (2020) - [i45]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action sequencing using visual permutations. CoRR abs/2008.01156 (2020) - [i44]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020) - [i43]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control. CoRR abs/2009.08856 (2020) - [i42]Paola Ardón, Maria E. Cabrera, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan, Maya Cakmak:
Affordance-Aware Handovers with Human Arm Mobility Constraints. CoRR abs/2010.15436 (2020) - [i41]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. CoRR abs/2011.00509 (2020) - [i40]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. CoRR abs/2011.01126 (2020)
2010 – 2019
- 2019
- [j15]Martin Asenov, Marius Rutkauskas, Derryck Telford Reid, Kartic Subr, Subramanian Ramamoorthy:
Active Localization of Gas Leaks Using Fluid Simulation. IEEE Robotics Autom. Lett. 4(2): 1776-1783 (2019) - [j14]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Learning Grasp Affordance Reasoning Through Semantic Relations. IEEE Robotics Autom. Lett. 4(4): 4571-4578 (2019) - [c60]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS 2019: 1341-1349 - [c59]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRL 2019: 172-181 - [c58]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL 2019: 870-884 - [c57]Svetlin Penkov, Subramanian Ramamoorthy:
Learning Programmatically Structured Representations with Perceptor Gradients. ICLR (Poster) 2019 - [c56]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. Robotics: Science and Systems 2019 - [c55]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Reasoning on Grasp-Action Affordances. TAROS (1) 2019: 3-15 - [i39]Martin Asenov, Marius Rutkauskas, Derryck Telford Reid, Kartic Subr, Subramanian Ramamoorthy:
Active Localization of Gas Leaks using Fluid Simulation. CoRR abs/1901.09608 (2019) - [i38]Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. CoRR abs/1902.03588 (2019) - [i37]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From explanation to synthesis: Compositional program induction for learning from demonstration. CoRR abs/1902.10657 (2019) - [i36]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR abs/1903.01267 (2019) - [i35]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions. CoRR abs/1904.02431 (2019) - [i34]Svetlin Penkov, Subramanian Ramamoorthy:
Learning Programmatically Structured Representations with Perceptor Gradients. CoRR abs/1905.00956 (2019) - [i33]Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy:
An Empirical Evaluation of Adversarial Robustness under Transfer Learning. CoRR abs/1905.02675 (2019) - [i32]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Reasoning on Grasp-Action Affordances. CoRR abs/1905.10610 (2019) - [i31]Adeel Mufti, Svetlin Penkov, Subramanian Ramamoorthy:
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer. CoRR abs/1906.07248 (2019) - [i30]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Learning Grasp Affordance Reasoning through Semantic Relations. CoRR abs/1906.09836 (2019) - [i29]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR abs/1906.10099 (2019) - [i28]Stefano V. Albrecht, Subramanian Ramamoorthy:
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. CoRR abs/1907.01912 (2019) - [i27]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRR abs/1907.04360 (2019) - [i26]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. CoRR abs/1907.05247 (2019) - [i25]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). CoRR abs/1907.05850 (2019) - [i24]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Online system identification from video for robotics applications. CoRR abs/1907.06422 (2019) - [i23]Stefano V. Albrecht, Subramanian Ramamoorthy:
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. CoRR abs/1907.06995 (2019) - [i22]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. CoRR abs/1907.08199 (2019) - [i21]Stefano V. Albrecht, Subramanian Ramamoorthy:
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems. CoRR abs/1907.09189 (2019) - [i20]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
E-HBA: Using Action Policies for Expert Advice and Agent Typification. CoRR abs/1907.09810 (2019) - [i19]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR abs/1907.13627 (2019) - [i18]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. CoRR abs/1909.07247 (2019) - [i17]Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. CoRR abs/1911.13044 (2019) - [i16]Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower Dimensional Kernels for Video Discriminators. CoRR abs/1912.08860 (2019) - 2018
- [j13]Adam Linson, Andy Clark, Subramanian Ramamoorthy, Karl J. Friston:
The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition. Frontiers Robotics AI 5: 21 (2018) - [c54]Paola Ardón Ramirez, Subramanian Ramamoorthy, Katrin Solveig Lohan:
Object Affordances by Inferring on the Surroundings. ARSO 2018: 69-70 - [c53]Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy:
Interpretable Latent Spaces for Learning from Demonstration. CoRL 2018: 957-968 - [c52]Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. EUMAS 2018: 77-93 - [c51]Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar:
Topological signatures for fast mobility analysis. SIGSPATIAL/GIS 2018: 159-168 - [i15]Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman:
Reasoning about Unforeseen Possibilities During Policy Learning. CoRR abs/1801.03331 (2018) - [i14]Helen F. Hastie, Katrin Solveig Lohan, Mike J. Chantler, David A. Robb, Subramanian Ramamoorthy, Ronald P. A. Petrick, Sethu Vijayakumar, David Lane:
The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces. CoRR abs/1803.02100 (2018) - [i13]Andrew Blake, Alejandro Bordallo, Majd Hawasly, Svetlin Penkov, Subramanian Ramamoorthy, Alexandre Silva:
Efficient Computation of Collision Probabilities for Safe Motion Planning. CoRR abs/1804.05384 (2018) - [i12]Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy:
Interpretable Latent Spaces for Learning from Demonstration. CoRR abs/1807.06583 (2018) - 2017
- [c50]Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy:
Grounding Symbols in Multi-Modal Instructions. RoboNLP@ACL 2017: 49-57 - [c49]Tatiana Lopez-Guevara, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation. CoRL 2017: 77-86 - [c48]Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy:
Multi-scale Activity Estimation with Spatial Abstractions. GSI 2017: 273-281 - [c47]Svetlin Penkov, Alejandro Bordallo, Subramanian Ramamoorthy:
Physical symbol grounding and instance learning through demonstration and eye tracking. ICRA 2017: 5921-5928 - [c46]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). IJCAI 2017: 5085-5089 - [i11]Svetlin Penkov, Subramanian Ramamoorthy:
Explaining Transition Systems through Program Induction. CoRR abs/1705.08320 (2017) - [i10]Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy:
Grounding Symbols in Multi-Modal Instructions. CoRR abs/1706.00355 (2017) - [i9]Svetlin Penkov, Subramanian Ramamoorthy:
Using Program Induction to Interpret Transition System Dynamics. CoRR abs/1708.00376 (2017) - 2016
- [j12]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
Belief and truth in hypothesised behaviours. Artif. Intell. 235: 63-94 (2016) - [j11]Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy:
Topological trajectory classification with filtrations of simplicial complexes and persistent homology. Int. J. Robotics Res. 35(1-3): 204-223 (2016) - [j10]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks. J. Artif. Intell. Res. 55: 1135-1178 (2016) - [j9]Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian policy reuse. Mach. Learn. 104(1): 99-127 (2016) - [c45]Fabio Previtali, Alejandro Bordallo, Luca Iocchi, Subramanian Ramamoorthy:
Predicting Future Agent Motions for Dynamic Environments. ICMLA 2016: 94-99 - [c44]José Cano, Alejandro Bordallo, Vijay Nagarajan, Subramanian Ramamoorthy, Sethu Vijayakumar:
Automatic configuration of ROS applications for near-optimal performance. IROS 2016: 2217-2223 - [c43]Luis de Miranda, Subramanian Ramamoorthy, Michael Rovatsos:
We, Anthrobot: Learning from Human Forms of Interaction and Esprit de Corps to Develop More Plural Social Robotics. Robophilosophy/TRANSOR 2016: 48-59 - [i8]Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy:
Estimating Activity at Multiple Scales using Spatial Abstractions. CoRR abs/1607.07311 (2016) - [i7]Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy:
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments. CoRR abs/1610.08424 (2016) - 2015
- [j8]Benjamin Rosman, Subramanian Ramamoorthy:
Action Priors for Learning Domain Invariances. IEEE Trans. Auton. Ment. Dev. 7(2): 107-118 (2015) - [c42]Stefano Vittorino Albrecht, Jacob William Crandall, Subramanian Ramamoorthy:
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. AAAI 2015: 1988-1994 - [c41]Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy:
Counterfactual reasoning about intent for interactive navigation in dynamic environments. IROS 2015: 2943-2950 - [c40]Stefano V. Albrecht, Subramanian Ramamoorthy:
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. UAI 2015: 52-61 - [c39]Anthony Cruickshank, Subramanian Ramamoorthy, Richard Shillcock:
Predicting Actions Using a Probabilistic Model of Human Decision Behaviours. UMAP Workshops 2015 - [e1]Reinaldo A. C. Bianchi, H. Levent Akin, Subramanian Ramamoorthy, Komei Sugiura:
RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, João Pessoa, Brazil, July 15. Lecture Notes in Computer Science 8992, Springer 2015, ISBN 978-3-319-18614-6 [contents] - [i6]Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian Policy Reuse. CoRR abs/1505.00284 (2015) - [i5]Stefano V. Albrecht, Subramanian Ramamoorthy:
A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems. CoRR abs/1506.01170 (2015) - [i4]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
Belief and Truth in Hypothesised Behaviours. CoRR abs/1507.07688 (2015) - 2014
- [c38]Aciel Eshky, Ben Allison, Subramanian Ramamoorthy, Mark Steedman:
A Generative Model for User Simulation in a Spatial Navigation Domain. EACL 2014: 626-635 - [c37]Benjamin Rosman, Subramanian Ramamoorthy:
Giving advice to agents with hidden goals. ICRA 2014: 1959-1964 - [c36]Efstathios Vafeias, Subramanian Ramamoorthy:
Joint classification of actions and object state changes with a latent variable discriminative model. ICRA 2014: 4856-4862 - [c35]Benjamin Rosman, Subramanian Ramamoorthy, M. M. Hassan Mahmud, Pushmeet Kohli:
On user behaviour adaptation under interface change. IUI 2014: 273-278 - [c34]Gwendolijn Y. R. Schropp, John-Jules Ch. Meyer, Subramanian Ramamoorthy:
A Formalization of the Coach Problem. RoboCup 2014: 345-357 - [c33]Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy:
Multiscale Topological Trajectory Classification with Persistent Homology. Robotics: Science and Systems 2014 - [c32]Stefano V. Albrecht, Subramanian Ramamoorthy:
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. UAI 2014: 12-21 - [i3]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Efficient Monitoring in POMDPs. CoRR abs/1401.7941 (2014) - 2013
- [j7]Ioannis Havoutis, Subramanian Ramamoorthy:
Motion planning and reactive control on learnt skill manifolds. Int. J. Robotics Res. 32(9-10): 1120-1150 (2013) - [j6]Subramanian Ramamoorthy:
Games, Groups and the Global Good. J. Oper. Res. Soc. 64(12): 1867 (2013) - [j5]Aris Valtazanos, D. K. Arvind, Subramanian Ramamoorthy:
Latent space segmentation for mobile gait analysis. ACM Trans. Embed. Comput. Syst. 12(4): 101:1-101:22 (2013) - [c31]Majd Hawasly, Subramanian Ramamoorthy:
Lifelong Learning of Structure in the Space of Policies. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c30]Aris Valtazanos, Subramanian Ramamoorthy:
Bayesian interaction shaping: learning to influence strategic interactions in mixed robotic domains. AAMAS 2013: 63-70 - [c29]Stefano V. Albrecht, Subramanian Ramamoorthy:
A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems. AAMAS 2013: 1155-1156 - [c28]M. M. Hassan Mahmud, Subramanian Ramamoorthy:
Learning in non-stationary MDPs as transfer learning. AAMAS 2013: 1259-1260 - [c27]Stefano V. Albrecht, Subramanian Ramamoorthy:
Ad hoc coordination in multiagent systems with applications to human-machine interaction. AAMAS 2013: 1415-1416 - [c26]Aris Valtazanos, Subramanian Ramamoorthy:
Evaluating the effects of limited perception on interactive decisions in mixed robotic domains. HRI 2013: 9-16 - [c25]Aris Valtazanos, D. K. Arvind, Subramanian Ramamoorthy:
Using wearable inertial sensors for posture and position tracking in unconstrained environments through learned translation manifolds. IPSN 2013: 241-252 - [c24]Majd Hawasly, Subramanian Ramamoorthy:
Lifelong transfer learning with an option hierarchy. IROS 2013: 1341-1346 - [c23]Daniel Jaymin Mankowitz, Subramanian Ramamoorthy:
BRISK-Based Visual Feature Extraction for Resource Constrained Robots. RoboCup 2013: 195-206 - [i2]M. M. Hassan Mahmud, Majd Hawasly, Benjamin Rosman, Subramanian Ramamoorthy:
Clustering Markov Decision Processes For Continual Transfer. CoRR abs/1311.3959 (2013) - 2012
- [c22]Benjamin Saul Rosman, Subramanian Ramamoorthy:
A Multitask Representation Using Reusable Local Policy Templates. AAAI Spring Symposium: Designing Intelligent Robots 2012 - [c21]Stefano V. Albrecht, Subramanian Ramamoorthy:
Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. AAMAS 2012: 349-356 - [c20]Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy:
Induction and learning of finite-state controllers from simulation. AAMAS 2012: 1203-1204 - [c19]Benjamin Rosman, Subramanian Ramamoorthy:
What good are actions? Accelerating learning using learned action priors. ICDL-EPIROB 2012: 1-6 - [i1]Subramanian Ramamoorthy, András Z. Salamon, Rahul Santhanam:
Macroscopes: models for collective decision making. CoRR abs/1204.3860 (2012) - 2011
- [j4]Benjamin Rosman, Subramanian Ramamoorthy:
Learning spatial relationships between objects. Int. J. Robotics Res. 30(11): 1328-1342 (2011) - [j3]Tom Larkworthy, Subramanian Ramamoorthy:
A characterization of the reconfiguration space of self-reconfiguring robotic systems. Robotica 29(1): 73-85 (2011) - [c18]Aris Valtazanos, Subramanian Ramamoorthy:
Intent inference and strategic escape in multi-robot games with physical limitations and uncertainty. IROS 2011: 3679-3685 - [c17]Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy:
Reinforcement Learning through Global Stochastic Search in N-MDPs. ECML/PKDD (2) 2011: 326-340 - [c16]Aris Valtazanos, Subramanian Ramamoorthy:
Online Motion Planning for Multi-robot Interaction Using Composable Reachable Sets. RoboCup 2011: 186-197 - [c15]Aris Valtazanos, Subramanian Ramamoorthy:
NaOISIS: A 3-D Behavioural Simulator for the NAO Humanoid Robot. RoboCup 2011: 341-352 - 2010
- [c14]Ioannis Havoutis, Subramanian Ramamoorthy:
Geodesic trajectory generation on learnt skill manifolds. ICRA 2010: 2946-2952 - [c13]Benjamin Rosman, Subramanian Ramamoorthy:
A game-theoretic procedure for learning hierarchically structured strategies. ICRA 2010: 2977-2983 - [c12]Tom Larkworthy, Subramanian Ramamoorthy:
An efficient algorithm for self-reconfiguration planning in a modular robot. ICRA 2010: 5139-5146 - [c11]Edmond S. L. Ho, Taku Komura, Subramanian Ramamoorthy, Sethu Vijayakumar:
Controlling humanoid robots in topology coordinates. IROS 2010: 178-182 - [c10]Ioannis Havoutis, Subramanian Ramamoorthy:
Constrained geodesic trajectory generation on learnt skill manifolds. IROS 2010: 2670-2675 - [c9]Aris Valtazanos, D. K. Arvind, Subramanian Ramamoorthy:
Comparative study of segmentation of periodic motion data for mobile gait analysis. Wireless Health 2010: 145-154
2000 – 2009
- 2009
- [c8]Subramanian Ramamoorthy, Lothar Wenzel, James Nagle, Bin Wang, Michael Cerna:
A differential geometric approach to discrete-coefficient filter design. ICASSP 2009: 3197-3200 - [c7]Ioannis Havoutis, Subramanian Ramamoorthy:
Motion Synthesis through Randomized Exploration on Submanifolds of Configuration Space. RoboCup 2009: 92-103 - 2008
- [j2]Ram Rajagopal, Subramanian Ramamoorthy, Lothar Wenzel, Hugo A. Andrade:
A Rapid Prototyping Tool for Embedded, Real-Time Hierarchical Control Systems. EURASIP J. Embed. Syst. 2008 (2008) - [j1]Subramanian Ramamoorthy, Ram Rajagopal, Lothar Wenzel:
Efficient, incremental coverage of space with a continuous curve. Robotica 26(4): 503-512 (2008) - [c6]Subramanian Ramamoorthy, Benjamin Kuipers:
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning. ICRA 2008: 359-366 - 2006
- [c5]Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers:
Designing safe, profitable automated stock trading agents using evolutionary algorithms. GECCO 2006: 1777-1784 - [c4]Subramanian Ramamoorthy, Benjamin Kuipers:
Qualitative Hybrid Control of Dynamic Bipedal Walking. Robotics: Science and Systems 2006 - [c3]Subramanian Ramamoorthy, Ram Rajagopal, Qing Ruan, Lothar Wenzel:
Low-Discrepancy Curves and Efficient Coverage of Space. WAFR 2006: 203-218 - 2003
- [c2]Subramanian Ramamoorthy, Benjamin Kuipers:
Qualitative Heterogeneous Control of Higher Order Systems. HSCC 2003: 417-434 - 2002
- [c1]Benjamin Kuipers, Subramanian Ramamoorthy:
Qualitative Modeling and Heterogeneous Control of Global System Behavior. HSCC 2002: 294-307
Coauthor Index
Stefano V. Albrecht
aka: Stefano Vittorino Albrecht
aka: Stefano Vittorino Albrecht
Katrin S. Lohan
aka: Katrin Solveig Lohan
aka: Katrin Solveig Lohan
Svetlin Penkov
aka: Svetlin Valentinov Penkov
aka: Svetlin Valentinov Penkov
Ronald P. A. Petrick
aka: Ron P. A. Petrick
aka: Ron P. A. Petrick
Paola Ardón Ramirez
aka: Paola Ardón
aka: Paola Ardón
Benjamin Rosman
aka: Benjamin Saul Rosman
aka: Benjamin Saul Rosman
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