Akshara Rai

Orcid: 0009-0005-5767-9848

According to our database1, Akshara Rai authored at least 42 papers between 2011 and 2024.

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Bibliography

2024
ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett., January, 2024

2023
FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion.
Robotics, June, 2023

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.
CoRR, 2023

Adaptive Skill Coordination for Robotic Mobile Manipulation.
CoRR, 2023

ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Adaptive Coordination in Social Embodied Rearrangement.
Proceedings of the International Conference on Machine Learning, 2023

Skill Transformer: A Monolithic Policy for Mobile Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EgoTV: Egocentric Task Verification from Natural Language Task Descriptions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Torque Control for Quadrupedal Locomotion.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

2022
Collaborative Navigation and Manipulation of a Cable-Towed Load by Multiple Quadrupedal Robots.
IEEE Robotics Autom. Lett., 2022

Efficient and Interpretable Robot Manipulation With Graph Neural Networks.
IEEE Robotics Autom. Lett., 2022

Learning Periodic Tasks from Human Demonstrations.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Vision-Aided Dynamic Quadrupedal Locomotion on Discrete Terrain Using Motion Libraries.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation.
Proceedings of the Conference on Robot Learning, 2022

Cross-Domain Transfer via Semantic Skill Imitation.
Proceedings of the Conference on Robot Learning, 2022

Transformers Are Adaptable Task Planners.
Proceedings of the Conference on Robot Learning, 2022

Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems.
Proceedings of the American Control Conference, 2022

2021
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion.
IEEE Robotics Autom. Lett., 2021

Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion.
CoRR, 2021

Efficient and Interpretable Robot Manipulation with Graph Neural Networks.
CoRR, 2021

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Leveraging Forward Model Prediction Error for Learning Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Query Specific Focused Summarization of Biomedical Journal Articles.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Concept Driven Search and Visualization System for Exploring Scientific Repositories.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Encoding Physical Constraints in Differentiable Newton-Euler Algorithm.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Framework for Online Updates to Safe Sets for Uncertain Dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning State-Dependent Losses for Inverse Dynamics Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Model-Based Inverse Reinforcement Learning from Visual Demonstrations.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots.
J. Mach. Learn. Res., 2019

Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped.
Proceedings of the International Conference on Robotics and Automation, 2019

Curious iLQR: Resolving Uncertainty in Model-based RL.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Learning feedback terms for reactive planning and control.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep Kernels for Optimizing Locomotion Controllers.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Optimal control for geometric motion planning of a robot diver.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Sample efficient optimization for learning controllers for bipedal locomotion.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2014
Learning coupling terms for obstacle avoidance.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2012
Grasping Region Identification in Novel Objects Using Microsoft Kinect.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Reinforcement learning of clothing assistance with a dual-arm robot.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011


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