Active Peripersonal Space for More Intuitive HRI

Holthaus P, Wachsmuth S (2012)
In: International Conference on Humanoid Robots. IEEE RAS: 508-513.

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Conference Paper | Published | English
Abstract
In face-to-face interaction, humans coordinate actions in their surroundings with the help of a well structured spatial representation. For example on a dinner table, everybody exactly knows which objects belong to her and where she is allowed to grasp. To have robots, e.g. receptionists, act accordingly, we conducted an on-line survey about the expectations humans have while interacting with such a robot. Results indicate that humans attribute the robot handedness and an awareness of distance and territoriality in its own peripersonal space. In order to align a robot's behavior to these expectations, we have have developed a first spatial representation of the robots peripersonal space.
Publishing Year
Conference
International Conference on Humanoid Robots
Location
Osaka, Japan
Conference Date
2012-11-29 – 2012-12-01
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Holthaus P, Wachsmuth S. Active Peripersonal Space for More Intuitive HRI. In: International Conference on Humanoid Robots. IEEE RAS; 2012: 508-513.
Holthaus, P., & Wachsmuth, S. (2012). Active Peripersonal Space for More Intuitive HRI. International Conference on Humanoid Robots, 508-513.
Holthaus, P., and Wachsmuth, S. (2012). “Active Peripersonal Space for More Intuitive HRI” in International Conference on Humanoid Robots (IEEE RAS), 508-513.
Holthaus, P., & Wachsmuth, S., 2012. Active Peripersonal Space for More Intuitive HRI. In International Conference on Humanoid Robots. IEEE RAS, pp. 508-513.
P. Holthaus and S. Wachsmuth, “Active Peripersonal Space for More Intuitive HRI”, International Conference on Humanoid Robots, IEEE RAS, 2012, pp.508-513.
Holthaus, P., Wachsmuth, S.: Active Peripersonal Space for More Intuitive HRI. International Conference on Humanoid Robots. p. 508-513. IEEE RAS (2012).
Holthaus, Patrick, and Wachsmuth, Sven. “Active Peripersonal Space for More Intuitive HRI”. International Conference on Humanoid Robots. IEEE RAS, 2012. 508-513.
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