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Titel:

Circular Fields and Predictive Multi-Agents for Online Global Trajectory Planning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Becker, Marvin; Lilge, Torsten; Müller, Matthias A.; Haddadin, Sami
Abstract:
Safe and efficient trajectory planning for autonomous robots is becoming increasingly important in both industrial applications and everyday life. The demands on a robot which has to react quickly and precisely to changes in cluttered, unknown and dynamic environments are particularly high. Towards this end, based on the initial idea proposed in [27] we propose the Circular Field Predictions approach, which unifies reactive collision avoidance and global trajectory planning while providing smoot...     »
Zeitschriftentitel:
IEEE Robotics and Automation Letters
Jahr:
2021
Band / Volume:
6
Heft / Issue:
2
Seitenangaben Beitrag:
2618-2625
Volltext / DOI:
doi:10.1109/LRA.2021.3061997
Print-ISSN:
2377-3766
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