Reinforcement learning of clothing assistance with a dual-arm robot. - Tomoya Tamei; Takamitsu Matsubara; Akshara Rai; Tomohiro Shibata (Humanoids, 2011)

Grasping Region Identification in Novel Objects Using Microsoft Kinect. - Akshara Rai; Prem Kumar Patchaikani; Mridul Agarwal; Rohit Gupta; Laxmidhar Behera (ICONIP (4), 2012)

Learning coupling terms for obstacle avoidance. - Akshara Rai; Franziska Meier; Auke Jan Ijspeert; Stefan Schaal (Humanoids, 2014)

Sample efficient optimization for learning controllers for bipedal locomotion. - Rika Antonova; Akshara Rai; Christopher G. Atkeson (Humanoids, 2016)

Optimal control for geometric motion planning of a robot diver. - Roberto Shu; Avinash Siravuru; Akshara Rai; Tony Dear; Koushil Sreenath; Howie Choset (IROS, 2016)

Deep Kernels for Optimizing Locomotion Controllers. - Rika Antonova; Akshara Rai; Christopher G. Atkeson (CoRL, 2017)

Learning feedback terms for reactive planning and control. - Akshara Rai; Giovanni Sutanto; Stefan Schaal; Franziska Meier (ICRA, 2017)

Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped. - Akshara Rai; Rika Antonova; Seungmoon Song; William C. Martin; Hartmut Geyer; Christopher G. Atkeson (ICRA, 2018)

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression. - Rika Antonova; Akshara Rai; Tianyu Li; Danica Kragic (CoRL, 2019)

Curious iLQR: Resolving Uncertainty in Model-based RL. - Sarah Bechtle; Yixin Lin; Akshara Rai; Ludovic Righetti; Franziska Meier (CoRL, 2019)

Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped. - Tianyu Li; Hartmut Geyer; Christopher G. Atkeson; Akshara Rai (ICRA, 2019)

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. - Akshara Rai; Rika Antonova; Franziska Meier; Christopher G. Atkeson (J. Mach. Learn. Res., 2019)

Model-Based Inverse Reinforcement Learning from Visual Demonstrations. - Neha Das; Sarah Bechtle; Todor Davchev; Dinesh Jayaraman; Akshara Rai; Franziska Meier (CoRL, 2020)

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. - Tianyu Li; Nathan O. Lambert; Roberto Calandra; Franziska Meier; Akshara Rai (ICRA, 2020)

Learning State-Dependent Losses for Inverse Dynamics Learning. - Kristen Morse; Neha Das; Yixin Lin; Austin S. Wang; Akshara Rai; Franziska Meier (IROS, 2020)

A Framework for Online Updates to Safe Sets for Uncertain Dynamics. - Jennifer C. Shih; Franziska Meier; Akshara Rai (IROS, 2020)

Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. - Giovanni Sutanto; Austin S. Wang; Yixin Lin; Mustafa Mukadam; Gaurav S. Sukhatme; Akshara Rai; Franziska Meier (L4DC, 2020)

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. - Benjamin Letham; Roberto Calandra; Akshara Rai; Eytan Bakshy (NeurIPS, 2020)

Concept Driven Search and Visualization System for Exploring Scientific Repositories. - Aninda Sukla; Abir Naskar; Tushar Goel; Suyash Sangwan; Akshara Rai; Mohammad Shakir; Ishan Verma; Tirthankar Dasgupta; Lipika Dey (COMAD/CODS, 2021)

Query Specific Focused Summarization of Biomedical Journal Articles. - Akshara Rai; Suyash Sangwan; Tushar Goel; Ishan Verma; Lipika Dey (FedCSIS, 2021)

Leveraging Forward Model Prediction Error for Learning Control. - Sarah Bechtle; Bilal Hammoud; Akshara Rai; Franziska Meier; Ludovic Righetti (ICRA, 2021)

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. - Joanne Truong; Denis Yarats; Tianyu Li; Franziska Meier; Sonia Chernova; Dhruv Batra; Akshara Rai (IROS, 2021)

Efficient and Interpretable Robot Manipulation with Graph Neural Networks. - Yixin Lin; Austin S. Wang; Akshara Rai (CoRR, 2021)

Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion. - Tianyu Li; Jungdam Won; Sehoon Ha; Akshara Rai (CoRR, 2021)

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. - Tianyu Li; Roberto Calandra; Deepak Pathak; Yuandong Tian; Franziska Meier; Akshara Rai (IEEE Robotics Autom. Lett., 2021)

Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. - Jennifer C. Shih; Akshara Rai; Laurent El Ghaoui (ACC, 2022)

Transformers Are Adaptable Task Planners. - Vidhi Jain; Yixin Lin; Eric Undersander; Yonatan Bisk; Akshara Rai (CoRL, 2022)

Cross-Domain Transfer via Semantic Skill Imitation. - Karl Pertsch; Ruta Desai; Vikash Kumar; Franziska Meier; Joseph J. Lim; Dhruv Batra; Akshara Rai (CoRL, 2022)

Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation. - Joanne Truong; Max Rudolph; Naoki Yokoyama; Sonia Chernova; Dhruv Batra; Akshara Rai (CoRL, 2022)

Vision-Aided Dynamic Quadrupedal Locomotion on Discrete Terrain Using Motion Libraries. - Ayush Agrawal; Shuxiao Chen; Akshara Rai; Koushil Sreenath (ICRA, 2022)

Learning Periodic Tasks from Human Demonstrations. - Jingyun Yang; Junwu Zhang; Connor Settle; Akshara Rai; Rika Antonova; Jeannette Bohg (ICRA, 2022)

Efficient and Interpretable Robot Manipulation With Graph Neural Networks. - Yixin Lin; Austin S. Wang; Eric Undersander; Akshara Rai (IEEE Robotics Autom. Lett., 2022)

Collaborative Navigation and Manipulation of a Cable-Towed Load by Multiple Quadrupedal Robots. - Chenyu Yang; Guo Ning Sue; Zhongyu Li 003; Lizhi Yang; Haotian Shen; Yufeng Chi; Akshara Rai; Jun Zeng 002; Koushil Sreenath (IEEE Robotics Autom. Lett., 2022)

Learning Torque Control for Quadrupedal Locomotion. - Shuxiao Chen; Bike Zhang; Mark W. Mueller; Akshara Rai; Koushil Sreenath (Humanoids, 2023)

EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. - Rishi Hazra; Brian Chen; Akshara Rai; Nitin Kamra; Ruta Desai (ICCV, 2023)

Skill Transformer: A Monolithic Policy for Mobile Manipulation. - Xiaoyu Huang; Dhruv Batra; Akshara Rai; Andrew Szot (ICCV, 2023)

Adaptive Coordination in Social Embodied Rearrangement. - Andrew Szot; Unnat Jain; Dhruv Batra; Zsolt Kira; Ruta Desai; Akshara Rai (ICML, 2023)

ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. - Tianyu Li; Jungdam Won; Alexander Clegg; Jeonghwan Kim; Akshara Rai; Sehoon Ha (SIGGRAPH Asia, 2023)

Adaptive Skill Coordination for Robotic Mobile Manipulation. - Naoki Yokoyama; Alexander William Clegg; Eric Undersander; Sehoon Ha; Dhruv Batra; Akshara Rai (CoRR, 2023)

FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion. - Tianyu Li; Jungdam Won; Jeongwoo Cho; Sehoon Ha; Akshara Rai (Robotics, 2023)

Situated Instruction Following. - So Yeon Min; Xavier Puig; Devendra Singh Chaplot; Tsung-Yen Yang; Akshara Rai; Priyam Parashar; Ruslan Salakhutdinov; Yonatan Bisk; Roozbeh Mottaghi (ECCV (61), 2024)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - 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; et al. (ICLR, 2024)

ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. - Naoki Yokoyama; Alexander Clegg; Joanne Truong; Eric Undersander; Tsung-Yen Yang; Sergio Arnaud; Sehoon Ha; Dhruv Batra; Akshara Rai (IEEE Robotics Autom. Lett., 2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)

RobotMover: Learning to Move Large Objects by Imitating the Dynamic Chain. - Tianyu Li; Joanne Truong; Jimmy Yang; Alexander Clegg; Akshara Rai; Sehoon Ha; Xavier Puig (CoRR, 2025)

ADAPT: Actively Discovering and Adapting to Preferences for any Task. - Maithili Patel; Xavier Puig; Ruta Desai; Roozbeh Mottaghi; Sonia Chernova; Joanne Truong; Akshara Rai (CoRR, 2025)