Multipoint potential field method for path planning of autonomous underwater vehicles in 3D space
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Fossen TI (2002) Marine control systems: guidance, navigation and control of ships, rigs and underwater vehicles. Marine Cybernetics AS, Trondheim
Santhakumar M, Asokan T (2010) Investigations on the hybrid tracking control of an underactuated autonomous underwater robot. Adv Robot 24(11):1529–1556
Khatib O (1986) Real-time obstacle avoidance for manipulators and mobile robots. Int J Robot Res 5(1):90–98
Lee LF (2004) Decentralized motion planning within an artificial potential framework (APF) for cooperative payload transport by multi-robot collectives. Dissertation, State University of New York at Buffalo
Park MG, Lee MC (2003) A new technique to escape local minimum in artificial potential field based path planning. KSME Int J 17:1876–1885
Khosla P, Volpe R (1988) Superquadric artificial potentials for obstacle avoidance and approach. In: Proceedings of the IEEE conference on robotics and automation, pp 1778–1784
Kim JO, Khosla PK (1992) Real-time obstacle avoidance using harmonic potential functions. IEEE Trans Robot Autom 8:338–349
Koren Y, Borenstein J (1992) Potential field methods and their inherent limitations for mobile robot navigation. In: Proceedings of the IEEE conference on robotics and automation, pp 1398–1404
Ge SS, Cui YJ (2000) New potential functions for mobile robot path planning. IEEE Trans Robot Autom 16(5):615–620
Ge SS, Cui YJ (2002) Dynamic motion planning for mobile robots using potential field method. Auton Robots 13:207–222
Jia Q, Wang X (2010) An improved potential field method for path planning. In: Proceedings of the IEEE Chinese conference on control and decision, pp 2265–2270
Pradhan SK, Parhi DR, Panda AK, Behera RK (2006) Potential field method to navigate several mobile robots. Appl Intell 25:321–333
Al-Sultan KS, Aliyu MD (1996) A new potential field based algorithm for path planning. J Intell Robot Syst 17:265–282
Chengqing L, Marcelo H, Krishnan H, Yong L (2000) Virtual obstacle concept for local-minimum-recovery in potential field based navigation. In: Proceedings of the IEEE international conference on robotics and automation, pp 983–988
Park MG, Lee MC (2003) Artificial potential field based path planning for mobile robots using a virtual obstacle concept. In: Proceedings of the IEEE/ASME international conference on advanced intelligent mechatronics, pp 1876–1885
Xi-Yong Z, Jing Z (2003) Virtual local target method for avoiding local minimum in potential field based robot navigation. J Zhejiang Univ Sci 4:264–269
Fu-guang D, Peng J, Xin-qian B, Hong-jian W (2005) AUV local path planning based on virtual potential field. In: Proceedings of the IEEE international conference on mechatronics and automation, pp 1711–1716
Rimon E, Koditschek DE (1992) Exact robot navigation using artificial potential functions. IEEE Trans Robot Autom 8:501–518
Cosio FA, Castaneda MAP (2004) Autonomous robot navigation using adaptive potential fields. Math Comput Modell 40:1141–1156
Park MG, Jeon JH, Lee MC (2001) Obstacle avoidance for mobile robots using artificial potential field approach with simulated annealing. In: Proceedings of the IEEE international symposium on industrial electronics, pp 1530–1535
Petillot Y, Tena Ruiz I, Lane DM (2001) Underwater vehicle obstacle avoidance and path planning using a multi-beam forward looking sonar. IEEE J Ocean Eng 26(2):240–251
Saravanakumar S, Asokan T (2011) Waypoint guidance based planar path following and obstacle avoidance of autonomous underwater vehicle. In: Proceedings of the 8th international conference on information in control automation and robotics, The Netherlands, pp 191–198
Saravanakumar S, Thomas G, Asokan T (2012) Obstacle avoidance using multipoint potential field approach for an underactuated flat-fish type autonomous underwater vehicle in dynamic environment. In: Proceedings of the international conference on intelligent robotics, automation and manufacturing (IRAM-2012), Malaysia, pp 20–27
Choset H, Lynch KM, Hutchinson S, Kavraki LE, Thrun S (2005) Principles of robot motion: theory, algorithms, and implementations. MIT Press, Cambridge
Culha U (2012) CS548-robot motion and control assignments. http://www.cs.bilkent.edu.tr/~ulha/cs548/hw2/ . Accessed 20 Dec 2012