Title :
Unified intelligent motion planning for omni-directional vehicles
Author :
Smid, G. Edzko ; Cheok, Ka C. ; Karlson, Robert E. ; Hudas, G.
Author_Institution :
Dept. of EE & Syst. Eng., Oakland Univ., Rochester, MI, USA
Abstract :
We demonstrate that an omni-directional vehicle (ODV) with an intelligent motion planning (IMP) scheme and a combination of Ackerman & parallel steering capabilities can readily maneuver in constricted areas. A virtual simulation environment (VSE) has been developed to model the ODV motion, a suite of navigation sensors, surrounding objects and the IMP scheme. The IMP unifies the navigation sensors to enhance manual, semi-autonomous and autonomous operations. The VSE is used to demonstrate that the ODV with IMP can navigate tight areas around obstacles, saving energy and time. Metrics for performance of Ackerman versus parallel steering capabilities are also evaluated.
Keywords :
closed loop systems; collision avoidance; mobile robots; motion control; path planning; robot kinematics; virtual reality; navigation sensors; omni directional vehicles; parallel steering; robot kinematics; unified intelligent motion planning; virtual simulation environment; Control systems; Intelligent vehicles; Mobile robots; Motion control; Motion planning; Navigation; Path planning; Remotely operated vehicles; Strategic planning; Trajectory;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336420