Optimizing motion of robotic manipulators interacting with human operators.

Hao Ding, Kurniawan Wijaya, Gunther Reißig, and Olaf Stursberg.
Optimizing motion of robotic manipulators interacting with human operators.
Proc. 4th Intl. Conf. Intell. Robotics Appl. (ICIRA), Aachen, Germany, 6-9 Dec. 2011, vol. 7101 of Lect. Notes Artificial Intelligence, pp. 520-531. Springer, 2011.
Best Paper Award.

Full text. (Definitive publication; restricted access.)

Abstract:
Recently, the problem of how to manipulate industrial robots that interact with human operators attracts a lot of attention in robotics research. This interest stems from the insight that the integration of human operators into robot based manufacturing systems may increase productivity by combining the abilities of machines with those of humans. In such a Human-Robot-Interaction (HRI) setting, the challenge is to manipulate the robots both safely and efficiently. This paper proposes an online motion planning approach for robotic manipulators with HRI based on model predictive control (MPC) with embedded mixed-integer programming. Safety-relevant regions, which are potentially occupied by the human operators, are generated online using camera data and a knowledge-base of typical human motion patterns. These regions serve as constraints of the optimization problem solved online to generate control trajectories for the robot. As described in the last part of the paper, the proposed method is realized for a HRI scenario.

BibTeX entry:

@InProceedings{yourchoice,
 author = {Hao Ding and Kurniawan Wijaya and Gunther Rei{\ss}ig and Olaf Stursberg},
 title = {Optimizing Motion of Robotic Manipulators Interacting with Human Operators},
 booktitle = {Proc. 4th Intl. Conf. Intell. Robotics Appl. (ICIRA), Aachen, Germany, 6-9 Dec. 2011},
 PAGES = {520-531},
 YEAR = 2011,
 volume = {7101},
 series = {Lect. Notes in Artificial Intelligence},
 publisher = {Springer},
 doi = {10.1007/978-3-642-25486-4_52}
}

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