Machine Learning

[IROS 2020] Graph-based hierarchical knowledge representation for robot task transfer from virtual to physical world
We study the hierarchical knowledge transfer problem using a cloth-folding task, wherein the agent is first given a set of human demonstrations in the virtual world using an Oculus Headset, and later transferred and validated on a physical Baxter robot.
Zhenliang Zhang, Yixin Zhu, Song-Chun Zhu
Cite Project
[IROS 2020] Graph-based hierarchical knowledge representation for robot task transfer from virtual to physical world
[TURC 2019] VRGym: A virtual testbed for physical and interactive AI
We propose VRGym, a virtual reality testbed for realistic human-robot interaction. Different from existing toolkits and virtual reality environments, the VRGym emphasizes on building and training both physical and interactive agents for robotics, machine learning, and cognitive science.
Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, Song-Chun Zhu
Cite Project
[TURC 2019] VRGym: A virtual testbed for physical and interactive AI
Robot Learning Project
A Project of Robot Leraning.
Follow
Robot Learning Project