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Methods for safe human-robot-interaction using capacitive tactile proximity sensors

Stefan Escaida Navarro, Maximiliano Marufo, Yitao Ding, Stephan Puls, Dirk Göger, Björn Hein, Heinz Wörn

Year
2013
Citations
47

Abstract

In this paper we base upon capacitive tactile proximity sensor modules developed in a previous work to demonstrate applications for safe human-robot-interaction. Arranged as a matrix, the modules can be used to model events in the near proximity of the robot surface, closing the near field perception gap in robotics. The central application investigated here is object tracking. Several results are shown: the tracking of two human hands as well as the handling of occlusions and the prediction of collision for object trajectories. These results are important for novel pretouch- and touch-based humanrobot interaction strategies and for assessing and implementing safety capabilities with these sensor systems.

Keywords

Proximity sensorTactile sensorArtificial intelligenceComputer visionRobotCapacitive sensingHuman–robot interactionComputer scienceTactile perceptionRobotics

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