Mapping operator motions to a robot is a key problem in teleoperation. D...
In high dimensional robotic system, the manifold of the valid configurat...
In learning from demonstrations, many generative models of trajectories ...
Probability distributions are key components of many learning from
demon...
Learning from demonstration (LfD) is an intuitive framework allowing
non...
This paper proposes an inverse reinforcement learning (IRL) framework to...
Trajectory optimization for motion planning requires a good initial gues...
We propose a method to approximate the distribution of robot configurati...
A common approach to learn robotic skills is to imitate a policy demonst...
In this paper we show how different choices regarding compliance affect ...