Path Planning with Kinematic Constraints for Robot Groups
April 25, 2017 Β· Declared Dead Β· π arXiv.org
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Authors
Wolfgang HΓΆnig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Sven Koenig, Nora Ayanian
arXiv ID
1704.07538
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.RO
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Path planning for multiple robots is well studied in the AI and robotics communities. For a given discretized environment, robots need to find collision-free paths to a set of specified goal locations. Robots can be fully anonymous, non-anonymous, or organized in groups. Although powerful solvers for this abstract problem exist, they make simplifying assumptions by ignoring kinematic constraints, making it difficult to use the resulting plans on actual robots. In this paper, we present a solution which takes kinematic constraints, such as maximum velocities, into account, while guaranteeing a user-specified minimum safety distance between robots. We demonstrate our approach in simulation and on real robots in 2D and 3D environments.
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