demos

Learning Spatial Representation for Safe Human-Robot Collaboration in Joint Manual Tasks

Programming robots for a safe interaction with humans is extremely complex especially in collaborative tasks. One reason is the unpredictable behaviour of humans that may have an intention which is not clear to the robot. We present a novel …

EmoRL: Real-time Acoustic Emotion Classification using Deep Reinforcement Learning

Acoustically expressed emotions can make communication with a robot more efficient. Detecting emotions like anger could provide a clue for the robot indicating unsafe/undesired situations. Recently, several deep neural network-based models have been …

Simultaneous Human-Robot Adaptation for Effective Skill Transfer

In this paper, we propose and implement a human-in-the loop robot skill synthesis framework that involves simultaneous adaptation of the human and the robot. In this framework, the human demonstrator learns to control the robot in real-time to make …