Smooth Local Planning Incorporating Steering Constraints

Autor: Cédric Pradalier, Wolfram Burgard, Freya Fleckenstein, Christian Dornhege, Wera Winterhalter
Přispěvatelé: Department of Computer Science [Freiburg], University of Freiburg [Freiburg], Georgia Tech Lorraine [Metz], Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Georgia Institute of Technology [Atlanta]-CentraleSupélec-Ecole Nationale Supérieure des Arts et Metiers Metz-Centre National de la Recherche Scientifique (CNRS), Pradalier, Cedric
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: 12th Conference Field and Service Robotics
12th Conference Field and Service Robotics, Aug 2019, Tokyo, Japan
Field and Service Robotics ISBN: 9789811594595
Popis: Individually controllable and steerable wheels provide vehicles with greater flexibility and efficiency. A key challenge in the context of such vehicles lies in the effective planning of the motion commands in order to properly deal with the potentially large required changes in the steering angles and to properly incorporate the given motion constraints. Especially large vehicles often perform large steering angle changes only while standing to prevent physical damage to the robot. In this paper, we introduce a novel planner for vehicles with individually controllable and steerable wheels and two novel methods to incorporate steering constraints. The latter are designed to provide smooth changes of the instantaneous center of rotation (ICR). Extensive experiments in simulation and on the real robot reveal that our methods allow for an effective planning of steering commands, reduce the travel time by decreasing the time spent standing for wheel reconfigurations, and additionally enable the vehicle to accurately follow a given path.
Databáze: OpenAIRE