Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation

no code implementations • 22 Feb 2021 • Nikola Vulin, Sammy Christen, Stefan Stevsic, Otmar Hilliges

In this paper we address the challenge of exploration in deep reinforcement learning for robotic manipulation tasks.

reinforcement-learning Reinforcement Learning (RL) +1

Spatial Attention Improves Iterative 6D Object Pose Estimation

no code implementations • 5 Jan 2021 • Stefan Stevsic, Otmar Hilliges

Our main insight is that after the initial pose estimate, it is important to pay attention to distinct spatial features of the object in order to improve the estimation accuracy during alignment.

6D Pose Estimation 6D Pose Estimation using RGB +1

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors

no code implementations • 28 Jun 2019 • Stefan Stevsic, Tobias Naegeli, Javier Alonso-Mora, Otmar Hilliges

This enables an easy to implement learning algorithm that is robust to errors of the model used in the model predictive controller.

Collision Avoidance Imitation Learning

Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction

no code implementations • 27 Jun 2019 • Sammy Christen, Stefan Stevsic, Otmar Hilliges

In this paper, we propose a method for training control policies for human-robot interactions such as handshakes or hand claps via Deep Reinforcement Learning.

reinforcement-learning Reinforcement Learning (RL)