Human-in-the-Loop Robot Control and Learning

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Luka Peternel

Delft University of Technology

Jan Babic

Institut Jožef Stefan (IJS)

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In the past years there has been considerable effort to move robots from industrial environments to our daily lives where they can collaborate and interact with humans to improve our life quality. One of the key challenges in this direction is to make a suitable robot control system that can adapt to humans and interactively learn from humans to facilitate the efficient and safe co-existence of the two. The applications of such robotic systems include: service robotics and physical human-robot collaboration, assistive and rehabilitation robotics, semi-autonomous cars, etc. To achieve the goal of integrating robotic systems into these applications, several important research directions must be explored.

One such direction is the study of skill transfer, where a human operator’s skilled executions are used to obtain an autonomous controller. Another important direction is shared control, where a robotic controller and humans control the same body, tool, mechanism, car, etc. Shared control, in turn invokes very rich research questions such as co-adaptation between the human and the robot, where the two agents can benefit from each other’s skills or must adapt to each other’s behavior to achieve effective cooperative task executions.

The aim of this Research Topic is to help bridge the gap between the state-of-the-art and above-mentioned goals through novel multidisciplinary approaches in human-in-the-loop robot control and learning.

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Editors

Luka Peternel

Delft University of Technology

Jan Babic

Institut Jožef Stefan (IJS)

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106,445 Total views

74,917 Article views

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Published In

Frontiers in Robotics and AI

Biomedical Robotics, Computational Intelligence in Robotics, Humanoid Robotics, Bionics and Biomimetics, Smart Sensor Networks and Autonomy

Frontiers in Neuroscience

Neural Technology

Frontiers in Bioengineering and Biotechnology

Bionics and Biomimetics

Frontiers in Medical Technology

Bionics and Biomimetics

Frontiers in Neurorobotics

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