Akshara Rai

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Franziska MeierResearch Scientist, Facebook AI ResearchVerified email at fb.com
Rika AntonovaPostdoc at Stanford UniversityVerified email at stanford.edu
Yixin LinDeepMindVerified email at deepmind.com
Tianyu Li 黎天宇Georgia Institute of TechnologyVerified email at fb.com
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Austin Shih-Ping Wang1X TechnologiesVerified email at 1x.tech
Sarah BechtleResearch Scientist, DeepMind LondonVerified email at deepmind.com
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)Verified email at tu-dresden.de
Koushil SreenathMechanical Engineering, UC BerkeleyVerified email at berkeley.edu
Giovanni SutantoIntrinsic Innovation LLC.Verified email at intrinsic.ai
Neha DasDoctoral Candidate, Technical University of MunichVerified email at tum.de
Hartmut GeyerAssociate Professor of Robotics, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Ludovic RighettiNew York University and Artificial and Natural Intelligence Toulouse InstituteVerified email at nyu.edu
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Takamitsu MatsubaraNara Institute of Science and TechnologyVerified email at is.naist.jp
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
William C. MartinCarnegie Mellon UniversityVerified email at cs.cmu.edu
Seungmoon SongAssistant Professor, Mechanical Engineering, Northeastern UniversityVerified email at northeastern.edu
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, SwitzerlandVerified email at epfl.ch

Akshara Rai

Research Scientist, Facebook AI Research

Verified email at fb.com - Homepage

Machine learning legged robots control systems


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The pan-starrs1 surveys KC Chambers, EA Magnier, N Metcalfe, HA Flewelling, ME Huber, ... arXiv preprint arXiv:1612.05560, 2016	1053	2016
Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023	416*	2023
Re-examining linear embeddings for high-dimensional Bayesian optimization B Letham, R Calandra, A Rai, E Bakshy Advances in neural information processing systems 33, 1546-1558, 2020	127	2020
Reinforcement learning of clothing assistance with a dual-arm robot T Tamei, T Matsubara, A Rai, T Shibata 2011 11th IEEE-RAS International Conference on Humanoid Robots, 733-738, 2011	120	2011
Bayesian optimization using domain knowledge on the ATRIAS biped A Rai, R Antonova, S Song, W Martin, H Geyer, C Atkeson 2018 IEEE International Conference on Robotics and Automation (ICRA), 1771-1778, 2018	87	2018
Model-based inverse reinforcement learning from visual demonstrations N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier Conference on Robot Learning, 1930-1942, 2021	86	2021
Habitat 3.0: A co-habitat for humans, avatars and robots X Puig, E Undersander, A Szot, MD Cote, TY Yang, R Partsey, R Desai, ... arXiv preprint arXiv:2310.13724, 2023	81	2023
Learning coupling terms for obstacle avoidance A Rai, F Meier, A Ijspeert, S Schaal 2014 IEEE-RAS international conference on humanoid robots, 512-518, 2014	62	2014
Encoding physical constraints in differentiable newton-euler algorithm G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier Learning for Dynamics and Control, 804-813, 2020	61	2020
Using deep reinforcement learning to learn high-level policies on the atrias biped T Li, H Geyer, CG Atkeson, A Rai 2019 International Conference on Robotics and Automation (ICRA), 263-269, 2019	59	2019
Efficient and interpretable robot manipulation with graph neural networks Y Lin, AS Wang, E Undersander, A Rai IEEE Robotics and Automation Letters 7 (2), 2740-2747, 2022	53	2022
Feature extraction of intra-pulse modulated LPI waveforms using STFT A Gupta, AAB Rai 2019 4th International Conference on Recent Trends on Electronics …, 2019	52	2019
Asc: Adaptive skill coordination for robotic mobile manipulation N Yokoyama, A Clegg, J Truong, E Undersander, TY Yang, S Arnaud, ... IEEE Robotics and Automation Letters 9 (1), 779-786, 2023	51	2023
Learning generalizable locomotion skills with hierarchical reinforcement learning T Li, N Lambert, R Calandra, F Meier, A Rai 2020 IEEE International Conference on Robotics and Automation (ICRA), 413-419, 2020	50	2020
Using simulation to improve sample-efficiency of Bayesian optimization for bipedal robots A Rai, R Antonova, F Meier, CG Atkeson Journal of machine learning research 20 (49), 1-24, 2019	50	2019
Learning feedback terms for reactive planning and control A Rai, G Sutanto, S Schaal, F Meier 2017 IEEE International Conference on Robotics and Automation (ICRA), 2184-2191, 2017	48	2017
Curious ilqr: Resolving uncertainty in model-based rl S Bechtle, Y Lin, A Rai, L Righetti, F Meier Conference on Robot Learning, 162-171, 2020	47	2020
Deep kernels for optimizing locomotion controllers R Antonova, A Rai, CG Atkeson Conference on Robot Learning, 47-56, 2017	47	2017
Rethinking sim2real: Lower fidelity simulation leads to higher sim2real transfer in navigation J Truong, M Rudolph, NH Yokoyama, S Chernova, D Batra, A Rai Conference on Robot Learning, 859-870, 2023	40	2023
Learning torque control for quadrupedal locomotion S Chen, B Zhang, MW Mueller, A Rai, K Sreenath 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 1-8, 2023	36	2023

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