Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms

Reward learning is a highly active area of research in human-robot interaction (HRI), allowing a broad range of users to specify complex robot behaviour. Experiments with simulated user input play a major role in the development and evaluation of reward learning algorithms due to the availability of a ground truth. In this paper, we review...

Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production

This paper proposes to use Virtual Reality scenarios to explore the reaction of stakeholders within an innovation process in the context of the introduction of robots working in close collaboration with users. The goal is to design the system upfront in such a way, that it is not perceived as a threat to the worker or his/her job. Within the...

Mirrorlabs - Creating accessible Digital Twins of robotic production environment with Mixed Reality

How to visualize recorded production data in Virtual Reality? How to use state of the art Augmented Reality displays that can show robot data? This paper introduces an opensource ICT framework approach for combining Unity-based Mixed Reality applications with robotic production equipment using ROS Industrial. This publication gives details on...

Learning Interactively to Resolve Ambiguity in Reference Frame Selection

In Learning from Demonstrations, ambiguities can lead to bad generalization of the learned policy. This paper proposes a framework called Learning Interactively to Resolve Ambiguity (LIRA), that recognizes ambiguous situations, in which more than one action have similar probabilities, avoids a random action selection, and uses the human...

Enthusiastic Robots make Better Contact

This paper presents the design and evaluation of human-like welcoming behaviors for a humanoid robot to draw the attention of passersby by following a three-step model: (1) selecting a target (person) to engage, (2) executing behaviors to draw the target's attention, and (3) monitoring the attentive response. A computer vision algorithm was...

Co-operation and haptic assistance for tele-manipulated control over two asymmetric slaves

The success of future fusion power plants as a sustainable energy source greatly depends on their uptime. This uptime relies on the plant's maintenance, which must be performed via tele-manipulation. Tele-manipulated maintenance is challenging, as exemplified by strictly selected and highly trained operators who still require more time to work...