In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …

The ever-changing nature of human environments presents great challenges to robot
manipulation. Objects that robots must manipulate vary in shape, weight, and configuration …

2 1 Einführung und weichen jeder Kollision elegant aus. Wieder andere folgen anscheinend
einem Führer. Auch aggressives Verhalten kann bei einigen beobachtet werden. Sehen wir …

This paper proposes an end-to-end learning from demonstration framework for teaching
force-based manipulation tasks to robots. The strengths of this work are manyfold. First, we …

Performing bimanual tasks with dual robotic setups can drastically increase the impact on
industrial and daily life applications. However, performing a bimanual task brings many …

We propose a structured prediction approach for robot imitation learning from
demonstrations. Among various tools for robot imitation learning, supervised learning has …

Novel applications in unstructured and non-stationary human environments require robots
that learn from experience and adapt autonomously to changing conditions. Predictive …

Trajectory learning is one of the key components of robot Programming by Demonstration
approaches, which in many cases, especially in industrial practice, aim at defining complex …

To accurately pour drinks into various containers is an essential skill for service robots.
However, drink pouring is a dynamic process and difficult to model. Traditional deep …

Wire and arc additive manufacturing (WAAM) is among the most promising additive
manufacturing techniques for metals because it yields high productivity at low raw material …