A mobile robot exploration algorithm

An algorithm for path planning to a goal with a mobile robot in an unknown environment is presented. The robot maps the environment only to the extent necessary to achieve the goal. Mapping is achieved using tactile sensing while the robot is executing a path to the specified goal. Paths are generated by treating unknown regions in the environment as free space. As obstacles are encountered en route to a goal, the model of the environment is updated and a new path to the goal is planned and executed. Initially the paths to the goal generated by this algorithm will be negotiable paths. However, as the robot acquires more knowledge about the environment, the length of the planned paths will be optimized. The optimization criteria can be modified to favor or avoid unexplored regions in the environment. The algorithm makes use of the quadtree data structure to model the environment and uses the distance transform methodology to generate paths for the robot to execute. >

[1]  Alan M. Thompson.  The Navigation System of the JPL Robot , 1977, IJCAI.

[2]  S. M. Udupa,et al.  Collision Detection and Avoidance in Computer Controlled Manipulators , 1977, IJCAI.

[3]  Tomás Lozano-Pérez,et al.  An algorithm for planning collision-free paths among polyhedral obstacles , 1979, CACM.

[4]  Hans P. Moravec.  Obstacle avoidance and navigation in the real world by a seeing robot rover , 1980 .

[5]  Hanan Samet,et al.  Neighbor finding techniques for images represented by quadtrees , 1982, Comput. Graph. Image Process..

[6]  Raja Chatila,et al.  Path Planning and Environment Learning in a Mobile Robot System , 1982, ECAI.

[7]  Rodney A. Brooks,et al.  Solving the find-path problem by good representation of free space , 1982, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  J. Schwartz,et al.  On the “piano movers'” problem I. The case of a two‐dimensional rigid polygonal body moving amidst polygonal barriers , 1983 .

[9]  L. Gouzenes.  Strategies for Solving Collision-free Trajectories Problems for Mobile and Manipulator Robots , 1984 .

[10]  Charles Elving Thorpe,et al.  Fido: vision and navigation for a robot rover , 1984 .

[11]  G. Borgefors.  Distance transformations in arbitrary dimensions , 1984 .

[12]  J. Schwartz,et al.  On the Piano Movers''Problem V: The Case of a Rod Moving in Three-Dimensional Space amidst Polyhedra , 1984 .

[13]  David P. Miller,et al.  Planning by search through simulations , 1985 .

[14]  Rodney A. Brooks,et al.  A subdivision algorithm in configuration space for findpath with rotation , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Rodney A. Brooks,et al.  Natural decomposition of free space for path planning , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[16]  Rodney A. Brooks,et al.  Visual map making for a mobile robot , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[17]  Hanan Samet,et al.  Storing a collection of polygons using quadtrees , 1985, TOGS.

[18]  James L. Crowley,et al.  Navigation for an intelligent mobile robot , 1985, IEEE J. Robotics Autom..

[19]  Jean-Paul Laumond,et al.  Position referencing and consistent world modeling for mobile robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[20]  Pere Brunet,et al.  Object representation by means of nonminimal division quadtrees and octrees , 1985, TOGS.

[21]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[22]  Nageswara S. V. Rao,et al.  Robot navigation in an unexplored terrain , 1986, J. Field Robotics.

[23]  S. Sitharama Iyengar,et al.  Robot navigation algorithms using learned spatial graphs , 1986, Robotica.

[24]  Larry S. Davis,et al.  Multiresolution path planning for mobile robots , 1986, IEEE J. Robotics Autom..

[25]  Alberto Elfes,et al.  Sonar-based real-world mapping and navigation , 1987, IEEE J. Robotics Autom..

[26]  Meghanad D. Wagh,et al.  Robot path planning using intersecting convex shapes: Analysis and simulation , 1987, IEEE J. Robotics Autom..

[27]  Hanan Samet,et al.  An Overview of Quadtrees, Octrees, and Related Hierarchical Data Structures , 1988 .

[28]  Georges Giralt,et al.  An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots , 1990, Autonomous Robot Vehicles.

[29]  Rodney A. Brooks,et al.  Solving the Find-Path Problem by Good Representation of Free Space , 1983, Autonomous Robot Vehicles.

[30]  Tomás Lozano-Pérez,et al.  Spatial Planning: A Configuration Space Approach , 1983, IEEE Transactions on Computers.