A Motion Planning Method for Omnidirectional Mobile Robot Based on the Anisotropic Characteristics

A more suitable motion planning method for an omni-directional mobile robot (OMR), an improved APF method (iAPF), is proposed in this paper by introducing the revolving factor into the artificial potential field (APF). Accordingly, the motion direction derived from traditional artificial potential field (tAPF) is regulated. The maximum velocity, maximum acceleration and energy consumption of the OMR moving in different directions are analyzed, based on the kinematic and dynamic constraints of an OMR, and the anisotropy of OMR is presented in this paper. Then the novel concept of an Anisotropic-Function is proposed to indicate the quality of motion in different directions, which can make a very favorable trade-off between time-optimality, stability and efficacy-optimality. In order to obtain the optimal motion, the path that the robot can take in order to avoid the obstacle safely and reach the goal in a shorter path is deduced. Finally, simulations and experiments are carried out to demonstrate that the motion resulting from the iAPF is high-speed, highly stable and highly efficient when compared to the tAPF.

[1]  Amir Abdollahi,et al.  Design and Development of a Comprehensive Omni directional Soccer Player Robot , 2004 .

[2]  Jianhua Wu Dynamic Path Planning of an Omni-directional Robot in a Dynamic Environment , 2005 .

[3]  F. Haro,et al.  A Comparison of Path Planning Algorithms for Omni-Directional Robots in Dynamic Environments , 2006, 2006 IEEE 3rd Latin American Robotics Symposium.

[4]  Benoît Raucent,et al.  Design of omnimobile robot wheels , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[5]  Chen Zhang,et al.  An Omnidirectional Mobile Millimeters Size Micro-Robot with Novel Duel-Wheels , 2006 .

[6]  G-C Luh,et al.  Motion planning for mobile robots in dynamic environments using a potential field immune network , 2007 .

[7]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Autonomous Robot Vehicles.

[8]  Jorge Angeles,et al.  Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms , 1995 .

[9]  Li-Chun Lai,et al.  Kinematic Control of Omni-directional Robots for Time-optimal Movement between Two Configurations , 2007, J. Intell. Robotic Syst..

[10]  Raffaello D'Andrea,et al.  Near-optimal dynamic trajectory generation and control of an omnidirectional vehicle , 2004, Robotics Auton. Syst..

[11]  Robert L. Williams,et al.  Velocity and Acceleration Cones for Kinematic and Dynamic Constraints on Omni-Directional Mobile Robots , 2006 .

[12]  Kevin L. Moore,et al.  Hierarchical task decomposition approach to path planning and control for an omni-directional autonomous mobile robot , 1999, Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014).

[13]  Devin J. Balkcom,et al.  Time-optimal Trajectories for an Omni-directional Vehicle , 2006, Int. J. Robotics Res..

[14]  Xingjian Jing,et al.  Artificial coordinating field and its application to motion planning of robots in uncertain dynamic environments , 2004 .

[15]  H. Harry Asada,et al.  Design and control of a variable footprint mechanism for holonomic omnidirectional vehicles and its application to wheelchairs , 1999, IEEE Trans. Robotics Autom..

[16]  J. Guldner,et al.  Sliding mode control for gradient tracking and robot navigation using artificial potential fields , 1995, IEEE Trans. Robotics Autom..

[17]  Oliver Brock,et al.  High-speed navigation using the global dynamic window approach , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[18]  Yoji Kuroda,et al.  Potential Field Navigation of High Speed Unmanned Ground Vehicles on Uneven Terrain , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[19]  Hyung Suck Cho,et al.  A Smooth Path Tracking Algorithm for Wheeled Mobile Robots with Dynamic Constraints , 1999, J. Intell. Robotic Syst..

[20]  S. Shin,et al.  Goal-directed navigation strategy for a mobile robot under uncertain world knowledge , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[21]  Cao Qixin,et al.  An Evolutionary Artificial Potential Field Algorithm for Dynamic Path Planning of Mobile Robot , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[22]  Shuzhi Sam Ge,et al.  Dynamic Motion Planning for Mobile Robots Using Potential Field Method , 2002, Auton. Robots.

[23]  François G. Pin,et al.  A new family of omnidirectional and holonomic wheeled platforms for mobile robots , 1994, IEEE Trans. Robotics Autom..