Real-time path planning and obstacle avoidance for an autonomous underwater vehicle

A navigation system for real-time path planning and obstacle avoidance of an autonomous underwater vehicle is presented. The vehicle is designed to accomplishing two missions: pre-deployment survey of sea bottom, and visual inspection of pipelines. In the first mission the navigation system must be able to track a predefined path while avoiding the unplanned occurrence of obstacles. In the second mission the navigation system must track a pipeline by locally reconstructing its location from visual information; also in this case, the unplanned occurrence of obstacles must be handled. Furthermore, the navigation system must properly take into account the presence of ocean current and some drastic constraints due to sensor and actuator characteristics.

[1]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[2]  Yoram Koren,et al.  Real-time obstacle avoidance for fact mobile robots , 1989, IEEE Trans. Syst. Man Cybern..

[3]  C. W. Warren A technique for autonomous underwater vehicle route planning , 1990 .

[4]  Vladimir J. Lumelsky,et al.  Incorporating range sensing in the robot navigation function , 1990, IEEE Trans. Syst. Man Cybern..

[5]  Yoram Koren,et al.  Real-time obstacle avoidance for fast mobile robots in cluttered environments , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[6]  Yoram Koren,et al.  Potential field methods and their inherent limitations for mobile robot navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[7]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[8]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[9]  F. J. Taylor,et al.  Mine avoidance techniques for underwater vehicles , 1993 .

[10]  C. Vasudevan,et al.  Case-based path planning for autonomous underwater vehicles , 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

[11]  Silvia Maria Zanoli,et al.  A navigation and inspection system for underwater survey vehicles , 1994 .

[12]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[13]  Robert B. McGhee,et al.  Autonomous underwater vehicles: Hybrid control of mission and motion , 1996, Auton. Robots.

[14]  K. Ganesan,et al.  Case-based path planning for autonomous underwater vehicles , 1994, Auton. Robots.

[15]  Vladimir J. Lumelsky,et al.  A terrain-covering algorithm for an AUV , 1996, Auton. Robots.

[16]  Maja Matijasevic,et al.  Control architectures for autonomous underwater vehicles , 1997 .

[17]  Iwan Ulrich,et al.  VFH+: reliable obstacle avoidance for fast mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[18]  John J. Leonard,et al.  Making difficult decisions autonomously: the impact of integrated mapping and navigation , 1998, Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles (Cat. No.98CH36290).

[19]  Gian Luca Foresti,et al.  A vision-based system for autonomous underwater vehicle navigation , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[20]  Penny Probert Smith,et al.  UNION: underwater intelligent operation and navigation , 1998, IEEE Robotics Autom. Mag..

[21]  John J. Leonard,et al.  Incorporating environmental measurements in navigation , 1998, Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles (Cat. No.98CH36290).

[22]  Stefano Chiaverini,et al.  Real-time motion planning for autonomous underwater vehicles , 1999 .