Abstract
This work proposes a contact management approach using Pepper robot, which focuses on safety constraints for navigation through cluttered environments. Firstly, we conduct an analytical study to identify the most common undesired physical contacts between humans in crowded scenes. Based on that, a set of recommendations for robot reaction is provided. Special emphasis is given to contact detection and reaction by proposing a sensorless detection method and different body compliance strategies, respectively, that match the safety guidelines proposed. Finally, an experimental validation is conducted in a controlled environment and through user studies.
This work has received funding from the European Union’s Horizon 2020 framework programme for research and innovation under the ICT No. 779942 (CROWDBOT).
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Garcia, F., Mazel, A., Cruz Maya, A. (2019). Safe Human-Robot Interaction Through Crowd Contact Video Analysis. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_55
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DOI: https://doi.org/10.1007/978-3-030-35888-4_55
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