A Hierarchical Control Architecture for the Control of Underwater Robots

Abstract The objective of this paper is to present the current activities, jointly carried out by DIST and IAN, to the development of a computational architecture for the control of an advanced underwater manipulator currently under development at Heriot-Watt University. Nevertheless most of the issues discussed within this paper can be extended and applied to a large class of robotic applications including also specific underwater operations as navigation, since underwater robotics represents a complete instance of the typical robotic tasks (from navigation, to manipulation, sensing etc.). The control architecture proposed is hierarchical in order to allow a separation of the control at the level of the generalised robot coordinates (Low Level Control), from the control at task level (Medium Level Control).

[1]  Giuseppe Casalino,et al.  Hybrid learning control for constrained manipulators , 1991, Adv. Robotics.

[2]  Fei-Yue Wang,et al.  Task translation and integration specification in intelligent machines , 1993, IEEE Trans. Robotics Autom..

[3]  G.N. Saridis,et al.  Toward the realization of intelligent controls , 1979, Proceedings of the IEEE.

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

[5]  Enrico Grosso,et al.  Active eye-head control , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[6]  Giuseppe Casalino,et al.  Stability and robustness analysis of a two layered hierarchical architecture for the closed loop control of robots in the operational space , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[7]  Rodney A. Brooks A hardware retargetable distributed layered architecture for mobile robot control , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[8]  Pradeep K. Khosla,et al.  The Chimera II real-time operating system for advanced sensor-based control applications , 1992, IEEE Trans. Syst. Man Cybern..

[9]  Vincent Dupourqué,et al.  Towards multi-processor and multi-robot controllers , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[10]  Oussama Khatib,et al.  A unified approach for motion and force control of robot manipulators: The operational space formulation , 1987, IEEE J. Robotics Autom..

[11]  John Kenneth Salisbury,et al.  Contact Sensing from Force Measurements , 1990, Int. J. Robotics Res..

[12]  Nikolaos Papanikolopoulos,et al.  Adaptive robotic visual tracking: theory and experiments , 1993, IEEE Trans. Autom. Control..

[13]  Giuseppe Casalino,et al.  Recent Advances in Grasp Planning Task Representation and Learning Hybrid Control for Dexterous Manipulation , 1993, Robotics, Mechatronics and Manufacturing Systems.

[14]  Gregory D. Hager,et al.  Robot feedback control based on stereo vision: towards calibration-free hand-eye coordination , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.