An efficient trajectory planning approach for autonomous robots in complex bridge environments

This paper presents an efficient trajectory planning approach for a 6DOF robotic manipulator conducting grit-blasting in complex bridge structural environments. The proposed approach extends upon robotic grit-blasting planning and incorporates joint movement minimisation in addition to path length minimisation. A genetic algorithm is implemented to optimise initial path plans based on a heuristic pattern for the coverage of surface areas to be blasted. A customised gradient based method is applied for the generation of collision-free joint configurations for grit-blasting based on the identified path plan. A grit-blasting coverage model is developed for discrete non-planar 3D coverage determination to verify the performance of the plan. Extensive simulation and experimental results are also presented in this paper.

[1]  T. Davies,et al.  Multiple Waypoint Path Planning for a Mobile Robot using Genetic Algorithms , 2006, 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

[2]  Dikai Liu,et al.  Simultaneous Material Type Classification And Mapping Data Acquisition Using A Laser Range Finder , 2007 .

[3]  Dikai Liu,et al.  Safe and efficient autonomous exploration technique for 3D mapping of a complex bridge maintenance environment , 2007 .

[4]  Dikai Liu,et al.  Capacitive Object Ranging and Material Type Classifying Sensor , 2007 .

[5]  Yifan Chen,et al.  Automated robot trajectory planning for spray painting of free-form surfaces in automotive manufacturing , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[6]  Leonhard E. Bernold,et al.  Vision-Based Interactive Path Planning for Robotic Bridge Paint Removal , 1997 .

[7]  Carlos A. Coello Coello,et al.  Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Comput. Intell. Mag..

[8]  Steven Dubowsky,et al.  Efficient Information-based Visual Robotic Mapping in Unstructured Environments , 2005, Int. J. Robotics Res..

[9]  Xiaoyun Liao,et al.  Evolutionary path planning for robot assisted part handling in sheet metal bending , 2003 .

[10]  Dikai Liu,et al.  An Algorithm for Surface Growing from Laser Scan Generated Point Clouds , 2007 .

[11]  G. S. Settles,et al.  A scientific view of the productivity of abrasive blasting nozzles , 1996 .

[12]  Gamini Dissanayake,et al.  A 3-DIMENSIONAL FORCE FIELD METHOD FOR ROBOT COLLISION AVOIDANCE IN COMPLEX ENVIRONMENTS , 2007 .

[13]  Pingjing Yao,et al.  Study on multi-objective genetic algorithm , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).

[14]  Yu-Geng Xi,et al.  Optimum motion planning in joint space for robots using genetic algorithms , 1996, Robotics Auton. Syst..

[15]  Dikai Liu,et al.  An integrated approach to planning for autonomous grit-blasting robot in complex bridge environments , 2009 .

[16]  Howie Choset,et al.  Paint deposition modeling for trajectory planning on automotive surfaces , 2005, IEEE Transactions on Automation Science and Engineering.

[17]  Dikai Liu,et al.  An Efficient Method for Collision Detection and Distance Queries in a Robotic Bridge Maintenance System , 2007 .