Home /Research /Human embodiment creates problems for robot learning by demonstration using a control panel
LEARNING

Human embodiment creates problems for robot learning by demonstration using a control panel

Franziska Kirstein, Kerstin Fischer, Dorthe Sølvason

Year
2014
Citations
6

Abstract

In this paper, problems in instructing an industrial robot by means of a control panel are investigated. In order for the robot to learn as much and as fast as possible from demonstration, the demonstration by the teacher needs to be as precise as possible. Usability studies constitute a useful methodology to investigate in which situations users provide the robot with exact trajectories and, if not, why they face difficulties. Results show that movements involving only the lowest joint of the robot arm are straight-forward and very exact. In contrast, fine movements that involve joints of the upper arm cause considerable problems. The analysis shows that users have to employ separate actions instead of focusing on the target and therefore need to consciously plan the action since they cannot match the robot's movements with those of their own embodiment.

Keywords

RobotUsabilityComputer sciencePlan (archaeology)Human–computer interactionControl (management)Artificial intelligenceAction (physics)Face (sociological concept)Robot control

Related papers

Browse all LEARNING papers