activity
20112023
most citedGaussian Processes for Data-Efficient Learning in Robotics and Control

667 citations · 2.8k across the 127 of their papers we have counts for

collaborators

152 papers

cs.RO2023★ 4 cited

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement

Anthony Simeonov, Ankit Goyal, Lucas Manuelli +5

We propose a system for rearranging objects in a scene to achieve a desired object-scene placing relationship, such as a book inserted in an open slot of a bookshelf. The pipeline…

cs.RO2023

Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation

Constantinos Chamzas, Caelan Garrett, Balakumar Sundaralingam +2

Recent work has shown that complex manipulation skills, such as pushing or pouring, can be learned through state-of-the-art learning based techniques, such as Reinforcement Learnin…

cs.RO2023★ 1 cited

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

Yuzhe Qin, Wei Yang, Binghao Huang +5

Vision-based teleoperation offers the possibility to endow robots with human-level intelligence to physically interact with the environment, while only requiring low-cost camera se…

cs.RO2023★ 6 cited

RVT: Robotic View Transformer for 3D Object Manipulation

Ankit Goyal, Jie Xu, Yijie Guo +3

For 3D object manipulation, methods that build an explicit 3D representation perform better than those relying only on camera images. But using explicit 3D representations like vox…

cs.RO2023★ 1 cited

AR2-D2:Training a Robot Without a Robot

Jiafei Duan, Yi Ru Wang, Mohit Shridhar +2

Diligently gathered human demonstrations serve as the unsung heroes empowering the progression of robot learning. Today, demonstrations are collected by training people to use spec…

cs.RO2023★ 2 cited

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability

Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner +3

Generative models such as diffusion models, excel at capturing high-dimensional distributions with diverse input modalities, e.g. robot trajectories, but are less effective at mult…