activity
20222025
most citedToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions

Alexis Yihong Hao, Yufei Wang, Navin Sriram Ravie +3

Robot-assisted dressing has the potential to significantly improve the lives of individuals with mobility impairments. To ensure an effective and comfortable dressing experience, t…

cs.RO2025

Geometric Red-Teaming for Robotic Manipulation

Divyam Goel, Yufei Wang, Tiancheng Wu +4

Standard evaluation protocols in robotic manipulation typically assess policy performance over curated, in-distribution test sets, offering limited insight into how systems fail un…

cs.RO2025

ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Yufei Wang, Ziyu Wang, Mino Nakura +5

This paper presents ArticuBot, in which a single learned policy enables a robotics system to open diverse categories of unseen articulated objects in the real world. This task has…

cs.RO2024

Real-World Offline Reinforcement Learning from Vision Language Model Feedback

Sreyas Venkataraman, Yufei Wang, Ziyu Wang +3

Offline reinforcement learning can enable policy learning from pre-collected, sub-optimal datasets without online interactions. This makes it ideal for real-world robots and safety…

cs.RO20227 cited

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds

Daniel Seita, Yufei Wang, Sarthak J. Shetty +3

Point clouds are a widely available and canonical data modality which convey the 3D geometry of a scene. Despite significant progress in classification and segmentation from point…