75 citations · 285 across the 48 of their papers we have counts for
6 papers · 1 filter
Learning Robot Policies for Whole-Body Mobility Assistance via Dynamic Human Motion Generation
Shikun Ban, Shohei Nagai, Qingyang Song +4
Robotic assistance for human mobility could benefit care recipients and reduce caregiver burden during physically demanding tasks such as Sit-to-Stand (STS) and Lift-and-Transfer (…
BlenDAgger: Blended Shared Control for Interactive Imitation Learning
Cailyn Smith, Geoffrey Sun, Henny Admoni +1
Robot policies are frequently trained from human corrections, yet teleoperating a robot to provide corrections is burdensome, and human demonstrators are not always optimal. We pro…
An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning
Mino Nakura, Sriram Krishna, Yufei Wang +3
Visual imitation learning is a promising approach to training robot manipulation policies capable of completing a wide variety of tasks. However, policies today remain brittle to v…
SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation
Saksham Singh, Zheyuan Hu, Max Sobol Mark +3
Despite rapid progress, generalist robot policies remain brittle on complex, long-horizon tasks that comprise multiple stages or require repeated attempts and deliberation on the s…
: 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…