Multipoint potential field method for path planning of autonomous underwater vehicles in 3D space

Sevgan Subramanian1, Asokan Thondiyath1
1Robotics Laboratory, Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India

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Tài liệu tham khảo

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

La Valle SM (2006) Planning algorithms. Cambridge University Press, New York

Latombe JC (1991) Robot motion planning. Kluwer Academic, Norwell

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