Robot

We present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks.

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.

We study the knowledge transfer problem by training the task of folding clothes in the virtual world using an Oculus Headset and …

This paper presents a design that jointly provides hand pose sensing, hand localization, and haptic feedback to facilitate real-time …

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.

A Project of Robot Leraning.