Search Results for author: Mengxi Li

Found 4 papers, 2 papers with code

Learning Feasibility to Imitate Demonstrators with Different Dynamics

1 code implementation28 Oct 2021 Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

The goal of learning from demonstrations is to learn a policy for an agent (imitator) by mimicking the behavior in the demonstrations.

Learning User-Preferred Mappings for Intuitive Robot Control

no code implementations22 Jul 2020 Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh

Existing approaches to teleoperation typically assume a one-size-fits-all approach, where the designers pre-define a mapping between human inputs and robot actions, and every user must adapt to this mapping over repeated interactions.

Learning from My Partner's Actions: Roles in Decentralized Robot Teams

no code implementations16 Oct 2019 Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh

When teams of robots collaborate to complete a task, communication is often necessary.

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

1 code implementation CVPR 2018 Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang

In SNTG, a graph is constructed based on the predictions of the teacher model, i. e., the implicit self-ensemble of models.

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