Dynamic robot path planning using an enhanced simulated annealing approach

[1]  Ehsan Samiei,et al.  A New Online Random Particles Optimization Algorithm for Mobile Robot Path Planning in Dynamic Environments , 2013 .

[2]  Fabrizio Padula,et al.  An On-Line Path Planner for Industrial Manipulators , 2013 .

[3]  Babak Karasfi,et al.  A behavior-based approach for collision avoidance of mobile robots in unknown and dynamic environments , 2013, J. Intell. Fuzzy Syst..

[4]  Seiichi Mita,et al.  Dynamic and Safe Path Planning Based on Support Vector Machine among Multi Moving Obstacles for Autonomous Vehicles , 2013, IEICE Trans. Inf. Syst..

[5]  Adem Tuncer,et al.  Dynamic path planning of mobile robots with improved genetic algorithm , 2012, Comput. Electr. Eng..

[6]  Luc Van Gool,et al.  Object Detection and Tracking for Autonomous Navigation in Dynamic Environments , 2010, Int. J. Robotics Res..

[7]  Chin-Chen Chang,et al.  Path Planning for Racing Games , 2010, Int. J. Artif. Intell. Tools.

[8]  Anupam Shukla,et al.  DYNAMIC ENVIRONMENT ROBOT PATH PLANNING USING HIERARCHICAL EVOLUTIONARY ALGORITHMS , 2010, Cybern. Syst..

[9]  Liang Liu,et al.  A study of improvement of D* algorithms for mobile robot path planning in partial unknown environments , 2010, Kybernetes.

[10]  Hongbin Zha,et al.  A dynamic subgoal path planner for unpredictable environments , 2010, 2010 IEEE International Conference on Robotics and Automation.

[11]  Henry Leung,et al.  An AUVs path planner using genetic algorithms with a deterministic crossover operator , 2010, 2010 IEEE International Conference on Robotics and Automation.

[12]  H. Shakouri G.,et al.  Investigation on the choice of the initial temperature in the Simulated Annealing: A mushy state SA for TSP , 2009, 2009 17th Mediterranean Conference on Control and Automation.

[13]  Mo Chun-liu,et al.  Determination of Optimal Path Algorithm in Urban Area Based on AI , 2009, 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application.

[14]  Nectarios Koziris,et al.  Early experiences on accelerating Dijkstra's algorithm using transactional memory , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[15]  Byunghee Lee,et al.  Path Planning Algorithm Using the Particle Swarm Optimization and the Improved Dijkstra Algorithm , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

[16]  Yu-Chu Tian,et al.  Robot path planning in dynamic environments using a simulated annealing based approach , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[17]  Mahmoud Tarokh,et al.  Hybrid intelligent path planning for articulated rovers in rough terrain , 2008, Fuzzy Sets Syst..

[18]  Xiaoli Li,et al.  Solution to reinforcement learning problems with artificial potential field , 2008 .

[19]  Simon X. Yang,et al.  Real-Time Robot Path Planning via a Distance-Propagating Dynamic System with Obstacle Clearance , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[20]  X. Song,et al.  Research and realization of optimum route planning in vehicle navigation systems based on a hybrid genetic algorithm , 2008 .

[21]  Suman Chakravorty,et al.  Motion planning in uncertain environments with vision-like sensors , 2007, Autom..

[22]  K. Kannan,et al.  Randomized gravitational emulation search algorithm for symmetric traveling salesman problem , 2007, Appl. Math. Comput..

[23]  H. Lehtihet,et al.  A random-profile approach for trajectory planning of wheeled mobile robots , 2007 .

[24]  Yang Wang,et al.  Mobile Robot Path Planning in Dynamic Environments , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[25]  Aude Billard,et al.  Special Issue on Robot Learning by Observation, Demonstration, and Imitation , 2007, IEEE Trans. Syst. Man Cybern. Part B.

[26]  Qidan Zhu,et al.  Robot Path Planning Based on Artificial Potential Field Approach with Simulated Annealing , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[27]  Chi-Ming Lin,et al.  Multicriteria-multistage planning for the optimal path selection using hybrid genetic algorithms , 2006, Appl. Math. Comput..

[28]  S.X. Yang,et al.  An efficient dynamic system for real-time robot-path planning , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[29]  Yang Wang,et al.  Genetic-based Mobile Robot Path Planning using Vertex Heuristics , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[30]  Ali Vahidian Kamyad,et al.  Solving some optimal path planning problems using an approach based on measure theory , 2005, Appl. Math. Comput..

[31]  Anthony Stentz,et al.  Field D*: An Interpolation-Based Path Planner and Replanner , 2005, ISRR.

[32]  Stefan B. Williams,et al.  Design of an Unmanned Underwater Vehicle for Reef Surveying , 2004 .

[33]  Pei-Yan Zhang,et al.  Soccer robot path planning based on the artificial potential field approach with simulated annealing , 2004, Robotica.

[34]  J. Ayers.  Underwater walking. , 2004, Arthropod structure & development.

[35]  Sanjiv Singh,et al.  An efficient on-line path planner for outdoor mobile robots , 2000, Robotics Auton. Syst..

[36]  Andreas C. Nearchou,et al.  Path planning of a mobile robot using genetic heuristics , 1998, Robotica.

[37]  Barry Brumitt,et al.  Framed-quadtree path planning for mobile robots operating in sparse environments , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[38]  Cheol Hoon Park,et al.  An empirical comparison of simulated annealing and genetic algorithms on NK fitness landscapes , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

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

[40]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[41]  Anthony Stentz,et al.  Optimal and efficient path planning for partially-known environments , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.