Shikhar Bahl

According to our database1, Shikhar Bahl authored at least 20 papers between 2018 and 2024.

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Bibliography

2024
Learning dexterity from human hand motion in internet videos.
Int. J. Robotics Res., 2024

HRP: Human Affordances for Robotic Pre-Training.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
DEFT: Dexterous Fine-Tuning for Real-World Hand Policies.
CoRR, 2023

Structured World Models from Human Videos.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ALAN: Autonomously Exploring Robotic Agents in the Real World.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient RL via Disentangled Environment and Agent Representations.
Proceedings of the International Conference on Machine Learning, 2023

Affordances from Human Videos as a Versatile Representation for Robotics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DEFT: Dexterous Fine-Tuning for Hand Policies.
Proceedings of the Conference on Robot Learning, 2023

PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play.
Proceedings of the Conference on Robot Learning, 2023

2022
Human-to-Robot Imitation in the Wild.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

VideoDex: Learning Dexterity from Internet Videos.
Proceedings of the Conference on Robot Learning, 2022

2021
Hierarchical Neural Dynamic Policies.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

RB2: Robotic Manipulation Benchmarking with a Twist.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Residual Reinforcement Learning for Robot Control.
Proceedings of the International Conference on Robotics and Automation, 2019

Contextual Imagined Goals for Self-Supervised Robotic Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Visual Reinforcement Learning with Imagined Goals.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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