Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-like Robot
September 18, 2018 ยท Declared Dead ยท ๐ IEEE/RJS International Conference on Intelligent RObots and Systems
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Authors
Tobias Klamt, Diego Rodriguez, Max Schwarz, Christian Lenz, Dmytro Pavlichenko, David Droeschel, Sven Behnke
arXiv ID
1809.06802
Category
cs.RO: Robotics
Citations
63
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
2 months ago
Abstract
Mobile manipulation tasks are one of the key challenges in the field of search and rescue (SAR) robotics requiring robots with flexible locomotion and manipulation abilities. Since the tasks are mostly unknown in advance, the robot has to adapt to a wide variety of terrains and workspaces during a mission. The centaur-like robot Centauro has a hybrid legged-wheeled base and an anthropomorphic upper body to carry out complex tasks in environments too dangerous for humans. Due to its high number of degrees of freedom, controlling the robot with direct teleoperation approaches is challenging and exhausting. Supervised autonomy approaches are promising to increase quality and speed of control while keeping the flexibility to solve unknown tasks. We developed a set of operator assistance functionalities with different levels of autonomy to control the robot for challenging locomotion and manipulation tasks. The integrated system was evaluated in disaster response scenarios and showed promising performance.
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