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Akshara Rai
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2020 – today
- 2024
- [j6]Naoki Yokoyama, Alexander Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra, Akshara Rai:
ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. IEEE Robotics Autom. Lett. 9(1): 779-786 (2024) - [c33]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 2024 - [i33]So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi:
Situated Instruction Following. CoRR abs/2407.12061 (2024) - 2023
- [j5]Tianyu Li, Jungdam Won, Jeongwoo Cho, Sehoon Ha, Akshara Rai:
FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion. Robotics 12(3): 90 (2023) - [c32]Shuxiao Chen, Bike Zhang, Mark W. Mueller, Akshara Rai, Koushil Sreenath:
Learning Torque Control for Quadrupedal Locomotion. Humanoids 2023: 1-8 - [c31]Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot:
Skill Transformer: A Monolithic Policy for Mobile Manipulation. ICCV 2023: 10818-10828 - [c30]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. ICCV 2023: 15371-15383 - [c29]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. ICML 2023: 33365-33380 - [c28]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. SIGGRAPH Asia 2023: 46:1-46:11 - [i32]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. CoRR abs/2303.16975 (2023) - [i31]Naoki Yokoyama, Alexander William Clegg, Eric Undersander, Sehoon Ha, Dhruv Batra, Akshara Rai:
Adaptive Skill Coordination for Robotic Mobile Manipulation. CoRR abs/2304.00410 (2023) - [i30]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. CoRR abs/2305.14792 (2023) - [i29]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. CoRR abs/2306.00087 (2023) - [i28]Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot:
Skill Transformer: A Monolithic Policy for Mobile Manipulation. CoRR abs/2308.09873 (2023) - [i27]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR abs/2310.13724 (2023) - 2022
- [j4]Yixin Lin, Austin S. Wang, Eric Undersander, Akshara Rai:
Efficient and Interpretable Robot Manipulation With Graph Neural Networks. IEEE Robotics Autom. Lett. 7(2): 2740-2747 (2022) - [j3]Chenyu Yang, Guo Ning Sue, Zhongyu Li, Lizhi Yang, Haotian Shen, Yufeng Chi, Akshara Rai, Jun Zeng, Koushil Sreenath:
Collaborative Navigation and Manipulation of a Cable-Towed Load by Multiple Quadrupedal Robots. IEEE Robotics Autom. Lett. 7(4): 10041-10048 (2022) - [c27]Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui:
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. ACC 2022: 2623-2630 - [c26]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRL 2022: 690-700 - [c25]Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai:
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation. CoRL 2022: 859-870 - [c24]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers Are Adaptable Task Planners. CoRL 2022: 1011-1037 - [c23]Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath:
Vision-Aided Dynamic Quadrupedal Locomotion on Discrete Terrain Using Motion Libraries. ICRA 2022: 4708-4714 - [c22]Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg:
Learning Periodic Tasks from Human Demonstrations. ICRA 2022: 8658-8665 - [i26]Shuxiao Chen, Bike Zhang, Mark W. Mueller, Akshara Rai, Koushil Sreenath:
Learning Torque Control for Quadrupedal Locomotion. CoRR abs/2203.05194 (2022) - [i25]Chenyu Yang, Guo Ning Sue, Zhongyu Li, Lizhi Yang, Haotian Shen, Yufeng Chi, Akshara Rai, Jun Zeng, Koushil Sreenath:
Collaborative Navigation and Manipulation of a Cable-towed Load by Multiple Quadrupedal Robots. CoRR abs/2206.14424 (2022) - [i24]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers are Adaptable Task Planners. CoRR abs/2207.02442 (2022) - [i23]Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai:
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation. CoRR abs/2207.10821 (2022) - [i22]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRR abs/2212.07407 (2022) - 2021
- [j2]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. 6(2): 2682-2689 (2021) - [c21]Aninda Sukla, Abir Naskar, Tushar Goel, Suyash Sangwan, Akshara Rai, Mohammad Shakir, Ishan Verma, Tirthankar Dasgupta, Lipika Dey:
Concept Driven Search and Visualization System for Exploring Scientific Repositories. COMAD/CODS 2021: 395-399 - [c20]Akshara Rai, Suyash Sangwan, Tushar Goel, Ishan Verma, Lipika Dey:
Query Specific Focused Summarization of Biomedical Journal Articles. FedCSIS 2021: 91-100 - [c19]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. ICRA 2021: 4445-4451 - [c18]Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai:
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. IROS 2021: 484-491 - [i21]Yixin Lin, Austin S. Wang, Akshara Rai:
Efficient and Interpretable Robot Manipulation with Graph Neural Networks. CoRR abs/2102.13177 (2021) - [i20]Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui:
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. CoRR abs/2109.12155 (2021) - [i19]Tianyu Li, Jungdam Won, Sehoon Ha, Akshara Rai:
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion. CoRR abs/2109.13362 (2021) - [i18]Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg:
Learning Periodic Tasks from Human Demonstrations. CoRR abs/2109.14078 (2021) - [i17]Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath:
Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries. CoRR abs/2110.00891 (2021) - 2020
- [c17]Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier:
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL 2020: 1930-1942 - [c16]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA 2020: 413-419 - [c15]Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. IROS 2020: 5261-5268 - [c14]Jennifer C. Shih, Franziska Meier, Akshara Rai:
A Framework for Online Updates to Safe Sets for Uncertain Dynamics. IROS 2020: 5994-6001 - [c13]Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier:
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. L4DC 2020: 804-813 - [c12]Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy:
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. NeurIPS 2020 - [i16]Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier:
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR abs/2001.08861 (2020) - [i15]Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy:
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. CoRR abs/2001.11659 (2020) - [i14]Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR abs/2003.04947 (2020) - [i13]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR abs/2008.11867 (2020) - [i12]Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier:
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR abs/2010.09034 (2020) - [i11]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. CoRR abs/2011.03859 (2020) - [i10]Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai:
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. CoRR abs/2011.12255 (2020)
2010 – 2019
- 2019
- [j1]Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. J. Mach. Learn. Res. 20: 49:1-49:24 (2019) - [c11]Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL 2019: 162-171 - [c10]Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic:
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression. CoRL 2019: 456-465 - [c9]Tianyu Li, Hartmut Geyer, Christopher G. Atkeson, Akshara Rai:
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped. ICRA 2019: 263-269 - [i9]Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR abs/1904.06786 (2019) - [i8]Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic:
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression. CoRR abs/1907.04796 (2019) - [i7]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR abs/1909.12324 (2019) - 2018
- [c8]Akshara Rai, Rika Antonova, Seungmoon Song, William C. Martin, Hartmut Geyer, Christopher G. Atkeson:
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped. ICRA 2018: 1771-1778 - [i6]Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. CoRR abs/1805.02732 (2018) - [i5]Tianyu Li, Akshara Rai, Hartmut Geyer, Christopher G. Atkeson:
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped. CoRR abs/1809.10811 (2018) - 2017
- [c7]Rika Antonova, Akshara Rai, Christopher G. Atkeson:
Deep Kernels for Optimizing Locomotion Controllers. CoRL 2017: 47-56 - [c6]Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier:
Learning feedback terms for reactive planning and control. ICRA 2017: 2184-2191 - [i4]Rika Antonova, Akshara Rai, Christopher G. Atkeson:
Deep Kernels for Optimizing Locomotion Controllers. CoRR abs/1707.09062 (2017) - [i3]Akshara Rai, Rika Antonova, Seungmoon Song, William C. Martin, Hartmut Geyer, Christopher G. Atkeson:
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped. CoRR abs/1709.06047 (2017) - 2016
- [c5]Rika Antonova, Akshara Rai, Christopher G. Atkeson:
Sample efficient optimization for learning controllers for bipedal locomotion. Humanoids 2016: 22-28 - [c4]Roberto Shu, Avinash Siravuru, Akshara Rai, Tony Dear, Koushil Sreenath, Howie Choset:
Optimal control for geometric motion planning of a robot diver. IROS 2016: 4780-4785 - [i2]Akshara Rai, Giovanni Sutanto, Franziska Meier, Stefan Schaal:
Learning Feedback Terms for Reactive Planning and Control. CoRR abs/1610.03557 (2016) - [i1]Rika Antonova, Akshara Rai, Christopher G. Atkeson:
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion. CoRR abs/1610.04795 (2016) - 2014
- [c3]Akshara Rai, Franziska Meier, Auke Jan Ijspeert, Stefan Schaal:
Learning coupling terms for obstacle avoidance. Humanoids 2014: 512-518 - 2012
- [c2]Akshara Rai, Prem Kumar Patchaikani, Mridul Agarwal, Rohit Gupta, Laxmidhar Behera:
Grasping Region Identification in Novel Objects Using Microsoft Kinect. ICONIP (4) 2012: 172-179 - 2011
- [c1]Tomoya Tamei, Takamitsu Matsubara, Akshara Rai, Tomohiro Shibata:
Reinforcement learning of clothing assistance with a dual-arm robot. Humanoids 2011: 733-738
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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