PATH PLANNING TECHNIQUE TO ACHIEVE A DYNAMIC TARGET POINT
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References
M. S. Ganeshmurthy, G. R. Suresh, Path planning algorithm for autonomous mobile robot in dynamic environment, 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), pp 1-6, DOI: 10.1109/ICSCN.2015.7219901, IEEE Conference Publications, March 2015
Luyi Shen et. al., Multi-swarm Optimization with Chaotic Mapping for Dynamic Optimization Problems, , 8th International Symposium on Computational Intelligence and Design (ISCID), pp 132-137, DOI: 10.1109/ISCID.2015.173,IEEE Conference Publications, 2015
M. Gracia et. al., Dynamic Graph-Search algorithm for Global Path Planning in Presence of Hazardous Weather, Journal of Intelligent & Robotic Systems with a special section on Unmanned Systems,Springer Science+ Business Media B.V., 2012
Seohyun Jeon et. al., Cooperative Multi-robot Searching Algorithm, Proceedings of the 12th International Conference - Intelligent Autonomous Systems IAS-12, Volume 2, pp. 749-756, Springer-Verleg Berlin Heidelberg, 2013
Jinpyo Hong et. al, A new mobile robot navigation using a turning point searching algorithm with the consideration of obstacle avoidance, The International Journal of Advanced Manufacturing Technology, Springer-Verleg London Limited, 2010
M. Zohaib, M. Pasha, R. A. Riaz, N. Javaid1, M. Ilahi, R. D. Khan ,Control Strategies for Mobile Robot With Obstacle Avoidance,Journal of Basic and Applied Scientiï¬c Research (JBASR) 3 (4), pp.- 1027-1036, 2013
Steven Bell, An Overview of Optimal Graph Search Algorithms for Robot Path Planning in Dynamic or Uncertain Environments , Proceedings of Student Paper Contest, Institute of Electrical and Electronics Engineers Conference, Oklahoma, March, 2010
Sven Koenig ,Maxim Likhachev, D* Lite , Proceeding Eighteenth national conference on Artiï¬cial intelligence, American Association for Artiï¬cial Intelligence, pp 476-483, Menlo Park, CA, USA, 2002
Sven Koenig, Maxim Likhachev, Fast Replanning for Navigation in Unknown Terrain, IEEE Transactions on Robotics (TRO), 21(3), pp. 354-363, 2005
Sven Koenig, Maxim Likhachev, David Furcy, Lifelong Planning A*, Journal Artiï¬cial Intelligence, Volume 155 Issue 1-2, pp 93 - 146, Elsevier Science Publishers Ltd. Essex, UK, May 2004
H. Dehmeshki, W. Stuerzlinger, Design and Evaluation of a Perceptual-based Object Group Selection Technique, British HCI 2010, ISBN 978-178017130-2, 365-372, Sept. 2010.