Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

While significant progress has been made on understanding hand-object interactions in
computer vision, it is still very challenging for robots to perform complex dexterous …

Vision-based teleoperation offers the possibility to endow robots with human-level
intelligence to physically interact with the environment, while only requiring low-cost camera …

To build general robotic agents that can operate in many environments, it is often imperative
for the robot to collect experience in the real world. However, this is often not feasible due to …

Teleoperation offers the possibility of imparting robotic systems with sophisticated reasoning
skills, intuition, and creativity to perform tasks. However, teleoperation solutions for high …

We build a system that enables any human to control a robot hand and arm, simply by
demonstrating motions with their own hand. The robot observes the human operator via a …

We propose to perform imitation learning for dexterous manipulation with multi-finger robot
hand from human demonstrations, and transfer the policy to the real robot hand. We …

With the increasing demand for the dexterity of robotic operation, dexterous manipulation of
multi-fingered robotic hands with reinforcement learning is an interesting subject in the field …

A fundamental challenge in teaching robots is to provide an effective interface for human
teachers to demonstrate useful skills to a robot. This challenge is exacerbated in dexterous …

Learning from demonstrations has shown to be an effective approach to robotic
manipulation, especially with the recently collected large-scale robot data with teleoperation …