8 citations · 16 across the 6 of their papers we have counts for
Showing 2021Show all
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cs.RO2021★ 5 cited
Learning Feasibility to Imitate Demonstrators with Different Dynamics
Zhangjie Cao, Yilun Hao, Mengxi Li +1
The goal of learning from demonstrations is to learn a policy for an agent (imitator) by mimicking the behavior in the demonstrations. Prior works on learning from demonstrations a…
cs.RO2021
Learning Latent Actions to Control Assistive Robots
Dylan P. Losey, Hong Jun Jeon, Mengxi Li +5
Assistive robot arms enable people with disabilities to conduct everyday tasks on their own. These arms are dexterous and high-dimensional; however, the interfaces people must use…
cs.RO2021★ 2 cited
Learning Human Objectives from Sequences of Physical Corrections
Mengxi Li, Alper Canberk, Dylan P. Losey +1
When personal, assistive, and interactive robots make mistakes, humans naturally and intuitively correct those mistakes through physical interaction. In simple situations, one corr…