This paper proposes an approach for the motion planning of a constrained skid-steered tracked mobile robot under the hypothesis of non-negligible skid and slip phenomena. Operating environment is firstly discretized with a finite dimensional grid. Then, a weighted graph is defined whose nodes are the above mentioned grid points, and whose arcs denote the trajectory segments. A modified shortest path search algorithm is then proposed to find a trajectory, in terms of succession of arcs, connecting starting and ending nodes. Trajectory feasibility is guaranteed by recurring to set-based arguments. In order to show the effectiveness of the proposed approach, some numerical examples are finally discussed.
Feasible Trajectory Planning Algorithm for a Skid-Steered Tracked Mobile Robot Subject to Skid and Slip Phenomena / Nardi, Vito Antonio; Ferraro, Alessia; Scordamaglia, Valerio. - (2018), pp. 120-125. (Intervento presentato al convegno 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) tenutosi a Miedzyzdroje, Poland) [10.1109/MMAR.2018.8486139].
Feasible Trajectory Planning Algorithm for a Skid-Steered Tracked Mobile Robot Subject to Skid and Slip Phenomena
Nardi, Vito Antonio;Scordamaglia, Valerio
2018-01-01
Abstract
This paper proposes an approach for the motion planning of a constrained skid-steered tracked mobile robot under the hypothesis of non-negligible skid and slip phenomena. Operating environment is firstly discretized with a finite dimensional grid. Then, a weighted graph is defined whose nodes are the above mentioned grid points, and whose arcs denote the trajectory segments. A modified shortest path search algorithm is then proposed to find a trajectory, in terms of succession of arcs, connecting starting and ending nodes. Trajectory feasibility is guaranteed by recurring to set-based arguments. In order to show the effectiveness of the proposed approach, some numerical examples are finally discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.