A neural dynamics based approach to real-time path planning and tracking control of a mobile robot

Real-time collision-free path planning and tracking control of a nonholonomic mobile robot in a dynamic environment is investigated using a neural dynamics based approach. The real-time robot path is generated through a dynamic neural activity landscape of a topologically organized neural network that represents the changing environment. The dynamics of each neuron is characterized by an additive neural dynamics model. The real-time tracking velocities are generated by a novel tracking controller, which is also based on a shunting neural dynamics model. The effectiveness and efficiency of this approach are demonstrated through simulation studies.

[1]  Leszek Podsedkowski.  Path planner for nonholonomic mobile robot with fast replanning procedure , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[2]  Yoshikazu Arai,et al.  Multilayered reinforcement learning for complicated collision avoidance problems , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[3]  Stephen Grossberg,et al.  Nonlinear neural networks: Principles, mechanisms, and architectures , 1988, Neural Networks.

[4]  Lakmal D. Seneviratne,et al.  Time-optimal smooth-path motion planning for a mobile robot with kinematic constraints , 1997, Robotica.

[5]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[6]  Mark H. Overmars,et al.  Multilevel Path Planning for Nonholonomic Robots Using Semiholonomic Subsystems , 1998, Int. J. Robotics Res..

[7]  Max Q.-H. Meng,et al.  Neural network approaches to dynamic collision-free trajectory generation , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[8]  Jean-Claude Latombe,et al.  Robot Motion Planning: A Distributed Representation Approach , 1991, Int. J. Robotics Res..

[9]  James C. Alexander,et al.  On the Kinematics of Wheeled Mobile Robots , 1989, Int. J. Robotics Res..

[10]  Jindong Tan,et al.  Analysis and design of non-time based motion controller for mobile robots , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[11]  Frank L. Lewis,et al.  Control of a nonholonomic mobile robot: backstepping kinematics into dynamics , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[12]  Alexander Zelinsky,et al.  Using Path Transforms to Guide the Search for Findpath in 2D , 1994, Int. J. Robotics Res..

[13]  George J. Pappas,et al.  Dynamic Modelling and Tracking Control of Nonholonomic Wheeled Vehicles , 1993 .

[14]  Mark H. Overmars,et al.  Motion Planning for Carlike Robots Using a Probabilistic Learning Approach , 1997, Int. J. Robotics Res..

[15]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[16]  Frank L. Lewis,et al.  Control of a nonholomic mobile robot: Backstepping kinematics into dynamics , 1997 .

[17]  J. C. Alexander,et al.  On the Kinematics of Wheeled Mobile Robots , 1990, Autonomous Robot Vehicles.

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

[19]  Qiuju Zhang,et al.  Robust backstepping and neural network control of a low-quality nonholonomic mobile robot , 1999 .