2010 IEEE International Conference on Robotics and Automation 2010
DOI: 10.1109/robot.2010.5509538
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Complete SE<sup>3</sup> underwater robot control with arbitrary thruster configurations

Abstract: Abstract-We present a control algorithm for autonomous underwater robots with modular thruster configuration. The algorithm can handle arbitrary thruster configurations. It maintains the robot's desired attitude while solving for translational motion. The attitude can be arbitrarily chosen from the special orthogonal group SO 3 allowing the robot all possible orientations. The desired translational velocities can be chosen from R 3 allowing the robot to follow arbitrary trajectories underwater. If the robot is… Show more

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Cited by 26 publications
(21 citation statements)
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“…It also logs both the data from the optical modem as well as the robot's current position which it receives from the IMU. Finally, the IMU uses the Modular Thruster Control Algorithm [1] to compute thruster updates.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…It also logs both the data from the optical modem as well as the robot's current position which it receives from the IMU. Finally, the IMU uses the Modular Thruster Control Algorithm [1] to compute thruster updates.…”
Section: Related Workmentioning
confidence: 99%
“…We presented the latest version of our underwater robot system and the human input device in [1]. To the best of our knowledge, this paper presents the first results for remotely controlling an underwater vehicle in real-time using a wireless optical link in shallow waters where ambient light is present.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Other hovering underwater robots that maneuver predominantly using thrusters include the University of Hawaii ODIN-III robot [1], the CSIRO Starbug robot [3] and the Bluefin Robotics HAUV [10]. The Modular Thruster Control Algorithm developed in our previous work [2] provides attitude and position control for modular robots and can handle arbitrary thruster configurations. However, the algorithm requires knowledge of the thrusters' locations.…”
Section: Introductionmentioning
confidence: 99%