A review of path planning and mapping technologies for autonomous mobile robot systems

This paper presents a review of various technologies for autonomous movement of a robot. Path planning is the process of generating a collision free path to the goal. Simultaneous Localization And Mapping (SLAM) is the process of creating a map of the environment while at same time localizing in the same map. Path planning and SLAM are critical for autonomous movement of the robot. This papers discusses different kinds of algorithms for path planning. This paper also describes the methods to incorporate the non-holomic constraints of a robot in the solution. Metrical map generating approaches, qualitative map generating approaches and hybrid map generating approaches for SLAM are also discussed.

[1]  Anthony Stentz,et al.  The Focussed D* Algorithm for Real-Time Replanning , 1995, IJCAI.

[2]  Sebastian Thrun,et al.  Anytime Dynamic A*: An Anytime, Replanning Algorithm , 2005, ICAPS.

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

[4]  Juan D. Tardós,et al.  Hierarchical SLAM: real-time accurate mapping of large environments , 2005, IEEE Transactions on Robotics.

[5]  Oliver Brock,et al.  Planning Long Dynamically-Feasible Maneuvers for Autonomous Vehicles , 2009 .

[6]  Gordon Wyeth,et al.  Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System , 2008, IEEE Transactions on Robotics.

[7]  Sebastian Thrun,et al.  FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.

[8]  Martial Hebert,et al.  Experimental Comparison of Techniques for Localization and Mapping Using a Bearing-Only Sensor , 2000, ISER.

[9]  Wolfram Burgard,et al.  Monte Carlo Localization with Mixture Proposal Distribution , 2000, AAAI/IAAI.

[10]  José A. Castellanos,et al.  Robocentric map joining: Improving the consistency of EKF-SLAM , 2007, Robotics Auton. Syst..

[11]  Javier González,et al.  Toward a Unified Bayesian Approach to Hybrid Metric--Topological SLAM , 2008, IEEE Transactions on Robotics.

[12]  U. Zimmer.  Embedding local metrical map patches in a globally consistent topological map , 2000, Proceedings of the 2000 International Symposium on Underwater Technology (Cat. No.00EX418).

[13]  Benjamin Kuipers,et al.  Local metrical and global topological maps in the hybrid spatial semantic hierarchy , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[14]  Matthew R. Walter,et al.  Exactly Sparse Extended Information Filters for Feature-based SLAM , 2007, Int. J. Robotics Res..

[15]  Ronald Parr,et al.  DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks , 2003, IJCAI.

[16]  J. Ho,et al.  The Metric FF Planning System Translating Ignoring Delete Lists to Numeric State Variables , 2003 .

[17]  Lina María Paz,et al.  Divide and Conquer: EKF SLAM in O(n) , 2008, IEEE Trans. Robotics.

[18]  Ian D. Reid,et al.  Mapping Large Loops with a Single Hand-Held Camera , 2007, Robotics: Science and Systems.

[19]  Paul Newman,et al.  Highly scalable appearance-only SLAM - FAB-MAP 2.0 , 2009, Robotics: Science and Systems.

[20]  Jae-Bok Song,et al.  Real-time building of a thinning-based topological map with metric features , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[21]  Eduardo Mario Nebot,et al.  Optimization of the simultaneous localization and map-building algorithm for real-time implementation , 2001, IEEE Trans. Robotics Autom..

[22]  John J. Leonard,et al.  Pure range-only sub-sea SLAM , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[23]  Benjamin Kuipers,et al.  Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy , 2010, Int. J. Robotics Res..

[24]  Frank Dellaert,et al.  Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing , 2006, Int. J. Robotics Res..

[25]  A. Stentz,et al.  The Field D * Algorithm for Improved Path Planning and Replanning in Uniform and Non-Uniform Cost Environments , 2005 .

[26]  Roland Siegwart,et al.  Hybrid simultaneous localization and map building: closing the loop with multi-hypotheses tracking , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[27]  Emanuele Menegatti,et al.  Bayesian inference in the space of topological maps , 2006, IEEE Transactions on Robotics.

[28]  Hugh F. Durrant-Whyte,et al.  A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[29]  Paul Newman,et al.  FAB-MAP 3D: Topological mapping with spatial and visual appearance , 2010, 2010 IEEE International Conference on Robotics and Automation.

[30]  Sven Koenig,et al.  Fast replanning for navigation in unknown terrain , 2005, IEEE Transactions on Robotics.

[31]  Paul Newman,et al.  FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance , 2008, Int. J. Robotics Res..

[32]  Ivan Serina,et al.  LPG: A Planner Based on Local Search for Planning Graphs with Action Costs , 2002, AIPS.

[33]  Benjamin Kuipers,et al.  A Logical Account of Causal and Topological Maps , 2001, IJCAI.

[34]  D. Dolgov.  Practical Search Techniques in Path Planning for Autonomous Driving , 2008 .

[35]  Kurt Konolige,et al.  Navigation in hybrid metric-topological maps , 2011, 2011 IEEE International Conference on Robotics and Automation.

[36]  L. Shepp,et al.  OPTIMAL PATHS FOR A CAR THAT GOES BOTH FORWARDS AND BACKWARDS , 1990 .

[37]  Raja Chatila,et al.  Stochastic multisensory data fusion for mobile robot location and environment modeling , 1989 .

[38]  Wolfram Burgard,et al.  Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach , 1998, AAAI/IAAI.

[39]  Benjamin Kuipers,et al.  Using the topological skeleton for scalable global metrical map-building , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[40]  Benjamin Kuipers,et al.  The Spatial Semantic Hierarchy , 2000, Artif. Intell..

[41]  Eduardo Mario Nebot,et al.  Consistency of the EKF-SLAM Algorithm , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[42]  John J. Leonard,et al.  Robust Mapping and Localization in Indoor Environments Using Sonar Data , 2002, Int. J. Robotics Res..

[43]  Wolfram Burgard,et al.  OctoMap : A Probabilistic , Flexible , and Compact 3 D Map Representation for Robotic Systems , 2010 .

[44]  Sebastian Thrun,et al.  ARA*: Anytime A* with Provable Bounds on Sub-Optimality , 2003, NIPS.

[45]  Sebastian Thrun,et al.  FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges , 2003, IJCAI.