1

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration

Mandy Xie, Karl Van Wyk, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan Ratliff

Non-deep Networks

Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Mohit Shridhar, Lucas Manuelli, Dieter Fox

RoboReport: Summarizing a virtual robot's past actions in natural language

Chad DeChant, Iretiayo Akinola, Daniel Bauer

RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments

Haoyu Xiong, Haoyuan Fu, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning

Zhutian Yang, Caelan Reed Garrett, Dieter Fox

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments

Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects

Weiyu Liu, Tucker Hermans, Sonia Chernova

Visual-Tactile Surface Estimation to Enable Multi-fingered, Precision Grasps

Martin Matak, Tucker Hermans

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation.

Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg