2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2017
DOI: 10.1109/robio.2017.8324582
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Set-based path following and obstacle avoidance for underwater snake robots

Abstract: This article presents a set-based guidance strategy for path following with obstacle avoidance for underwater snake robots conducting planar sinusoidal motion. The guidance scheme is designed such that the robot follows a straight path and avoids obstacles on the way by following a circle around them. In order to enable a switching between these two tasks, we generalize a strategy that was introduced for surface vessels, by making the switching condition independent of the dynamics and thus applicable for a la… Show more

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Cited by 6 publications
(13 citation statements)
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References 20 publications
(60 reference statements)
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“…i.e., to make each joint have the same value, providing an even curvature along the whole robot. This is different from Kohl et al (2017) where undulations are used for propulsion, and the joint references include an additional sinusoidal term with a phase shift between the joints. Instead (2) ensures that the joints are used only for directional control, while the thrusters are used to propel the robot forward.…”
Section: Guidance and Controlmentioning
confidence: 99%
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“…i.e., to make each joint have the same value, providing an even curvature along the whole robot. This is different from Kohl et al (2017) where undulations are used for propulsion, and the joint references include an additional sinusoidal term with a phase shift between the joints. Instead (2) ensures that the joints are used only for directional control, while the thrusters are used to propel the robot forward.…”
Section: Guidance and Controlmentioning
confidence: 99%
“…(D) Use the pinhole camera model, camera focal length f and the actual area of the shape A r to calculate the 3D-position of the detected shape relative to the camera coordinate frame. Algorithm 1, which is based on set-based theory described in , , and Kohl et al (2017).…”
Section: Set-based Obstacle Avoidancementioning
confidence: 99%
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