Decomposition-based Motion Planning: Towards Real-time Planning forRobots with Many Degrees of Freedom

Research in motion planning has been striving to develop faster and faster planning algorithms in order to be able to address a wider range of applications. In this paper a novel real-time motion planning framework, called decomposition-based motion planning, is proposed. It is particularly well suited for planning problems that arise in service and field robotics. It decomposes the original planning problem into simpler subproblems, whose successive solution results in a large reduction of the overall complexity. A particular implementation of decomposition-based planning is proposed. It is based on an adaptive wavefront expansion algorithm and reactive motion execution. Using this implementation of decomposition-based planning, real-time motion planning performance for an eleven degree-of-freedom mobile manipulator can be achieved. Some fundamental and preliminary analysis of the decomposition-based motion planning approach is provided.

[1]  Lydia E. Kavraki,et al.  On finding narrow passages with probabilistic roadmap planners , 1998 .

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

[3]  Oliver Brock,et al.  Executing motion plans for robots with many degrees of freedom in dynamic environments , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[4]  Dinesh Manocha,et al.  Randomized Path Planning for a Rigid Body Based on Hardware Accelerated Voronoi Sampling , 1999 .

[5]  Oussama Khatib,et al.  Elastic bands: connecting path planning and control , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[6]  Jean-Claude Latombe,et al.  On-Line Manipulation Planning for Two Robot Arms in a Dynamic Environment , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[7]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[8]  James J. Kuffner,et al.  Goal-Directed Navigation for Animated Characters Using Real-Time Path Planning and Control , 1998, CAPTECH.

[9]  Lydia E. Kavraki,et al.  A framework for using the workspace medial axis in PRM planners , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[10]  Sean Quinlan,et al.  Efficient distance computation between non-convex objects , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[11]  S. LaValle.  Rapidly-exploring random trees : a new tool for path planning , 1998 .

[12]  J. Laumond,et al.  Notes on Visibility Roadmaps and Path Planning , 2001 .

[13]  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).

[14]  Steven M. LaValle,et al.  A framework for planning feedback motion strategies based on a random neighborhood graph , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[15]  Oliver Brock,et al.  Real-time re-planning in high-dimensional configuration spaces using sets of homotopic paths , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[16]  Daniel E. Koditschek,et al.  Exact robot navigation by means of potential functions: Some topological considerations , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[17]  B. Faverjon,et al.  Probabilistic Roadmaps for Path Planning in High-Dimensional Con(cid:12)guration Spaces , 1996 .

[18]  Daniel Vallejo,et al.  OBPRM: an obstacle-based PRM for 3D workspaces , 1998 .

[19]  Lydia E. Kavraki,et al.  Path planning using lazy PRM , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[20]  Oussama Khatib,et al.  A unified approach for motion and force control of robot manipulators: The operational space formulation , 1987, IEEE J. Robotics Autom..

[21]  Oliver Brock,et al.  Generating robot motion: the integration of planning and execution , 1999 .

[22]  Jean-Claude Latombe,et al.  A reactive architecture for planning and executing robot motions with incomplete knowledge , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[23]  Steven M. LaValle,et al.  RRT-connect: An efficient approach to single-query path planning , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[24]  Scott Alan Hutchinson,et al.  Toward real-time path planning in changing environments , 2000 .

[25]  Leonidas J. Guibas,et al.  A probabilistic roadmap planner for flexible objects with a workspace medial-axis-based sampling approach , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[26]  John F. Canny,et al.  New lower bound techniques for robot motion planning problems , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).

[27]  John Canny,et al.  The complexity of robot motion planning , 1988 .