Suneel Belkhale

Suneel Belkhale

Doctoral Candidate
Computer Science, Stanford University
belkhale[at]stanford.edu

RT-H: Action Hierarchies Using Language

Mar 2024

AUTHORS : Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quon Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Mar 2024

AUTHORS : See paper.

ARXIV

GOOGLE SCHOLAR
Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Oct 2023

AUTHORS : See paper.

ARXIV

GOOGLE SCHOLAR
Learning Bimanual Scooping Policies for Food Acquisition

Aug 2023

AUTHORS : Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR
HYDRA: Hybrid Robot Actions for Imitation Learning

Jun 2023

AUTHORS : Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR
KITE: Keypoint-Conditioned Policies for Semantic Manipulation

Jun 2023

AUTHORS : Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg

ARXIV

GOOGLE SCHOLAR
Data Quality in Imitation Learning

Jun 2023

AUTHORS : Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR
Parallel Sampling of Diffusion Models

May 2023

AUTHORS : Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ARXIV

GOOGLE SCHOLAR
In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing

Apr 2023

AUTHORS : Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding

Nov 2022

AUTHORS : Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh

ARXIV

GOOGLE SCHOLAR

Suneel Belkhale

RT-H: Action Hierarchies Using Language

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Learning Bimanual Scooping Policies for Food Acquisition

HYDRA: Hybrid Robot Actions for Imitation Learning

KITE: Keypoint-Conditioned Policies for Semantic Manipulation

Data Quality in Imitation Learning

Parallel Sampling of Diffusion Models

In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing

Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding