Haptically Enhanced Motor Variability Shows Contrary Effects on Transfer of Learning

In order to improve skill acquisition and neurorehabilitation, we need to improve our understanding of human motor learning. It has been shown that innate variability of movements made by an individual when performing a motor task (motor variability) might enhance skill acquisition. Augmenting motor variability could therefore be a promising...

Guiding Co-Adaptation in Physically Interacting Human-Robot Teams

To make the cooperation within a physical human-robot team as efficient as possible, the team members must be able to co-adapt.<br/>We developed and evaluated a robot that adapts to a human, using an adaptation strategy, in such a way as to guide the co-adaptation to have a positive effect on human task contribution and team performance. <br/>A...

Combining Manipulability and Fatigue for Multi-Metric Authority Arbitration of Physical Human-Robot Collaboration: A Proof of Concept

Human-robot interaction is a growing field that aims to research and develop communication channels between humans and robots to enhance comfort, safety, and productivity in healthcare, the household, and the industry. Researchers have considered ergonomy-related metrics to compose these channels for physical human-robot collaborative scenarios....

Impact of control authority on the drivers' perceived responsibility: a haptic shared control driving study

More and more vehicles have multiple advanced driver-assistance systems (ADAS), that take over tasks from the human driver, thereby taking the driver out of the loop of control. This might create a discrepancy between the responsibility that the human driver feels and the responsibility that is attributed to them when something goes wrong....