Probabilistic collision state checker for crowded environments

Daniel Althoff, Matthias Althoff, Dirk Wollherr, Martin Buss

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

39 Zitate (Scopus)

Abstract

For path planning algorithms of robots it is important that the robot does not reach a state of inevitable collision. In crowded environments with many humans or robots, the set of possible inevitable collision states (ICS) is often unacceptably high, such that the robot has to stop and wait in too many situations. For this reason, the concept of ICS is extended to probabilistic collision states (PCS), which estimates the collision probability for a given state. This allows to efficiently run planning algorithms through crowded environments when accepting a certain collision probability. A further novelty is that the obstacles possibly react to the robot in order to mitigate the risk of a collision. The results show a significant difference in interaction behavior. Thus, this approach is especially suited for active and non-deterministic moving obstacles in the robot workspace.

OriginalspracheEnglisch
Titel2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Seiten1492-1498
Seitenumfang7
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK, USA/Vereinigte Staaten
Dauer: 3 Mai 20107 Mai 2010

Publikationsreihe

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Konferenz

Konferenz2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Land/GebietUSA/Vereinigte Staaten
OrtAnchorage, AK
Zeitraum3/05/107/05/10

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