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Simon Chamberland

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2 papers
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2

IROS Conference 2010 Conference Paper

Motion planning for an omnidirectional robot with steering constraints

  • Simon Chamberland
  • Eric Beaudry
  • Lionel Clavien
  • Froduald Kabanza
  • François Michaud
  • Michel Lauria

Omnidirectional mobile robots, i. e. , robots that can move in any direction without changing their orientation, offer better manoeuvrability in natural environments. Modeling the kinematics of such robots is a challenging problem and different approaches have been investigated. One of the best approaches for a nonholonomic robot is to model the robot's velocity state as the motion around its instantaneous center of rotation (ICR). In this paper, we present a motion planner designed to compute efficient trajectories for such a robot in an environment with obstacles. The action space is modeled in terms of changes of the ICR and the motion around it. Our motion planner is based on a Rapidly-Exploring Random Trees (RRT) algorithm to sample the action space and find a feasible trajectory from an initial configuration to a goal configuration. To generate fluid paths, we introduce an adaptive sampling technique taking into account constraints related to the ICR-based action space.

v2026.09.13