12 citations · 38 across the 18 of their papers we have counts for
31 papers · 1 filter
: Training Robots to Reason in Natural Language via Reinforcement Learning
Lehong Wu, Yuxiao Qu, Zheyuan Hu +4
Reasoning in language allows foundation models to spend more test-time compute on hard problems, such as those requiring decomposition, constraint tracking, and prediction of futur…
Bimanual High-Density EMG Control for In-Home Mobile Manipulation by Users with Quadriplegia
Jehan Yang, Eleanor Hodgson, Cindy Sun +2
Mobile manipulators in the home can enable people with cervical spinal cord injury (cSCI) to perform daily physical household tasks that they could not otherwise do themselves. How…
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…
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…
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…
Towards Wearable Interfaces for Robotic Caregiving
Akhil Padmanabha, Carmel Majidi, Zackory Erickson
Physically assistive robots in home environments can enhance the autonomy of individuals with impairments, allowing them to regain the ability to conduct self-care and household ta…