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In this study, we propose a technique for designing an automatic obstacle avoidance.
Therefore, on-board automatic obstacle avoidance systems may be needed to safely support multiple vessel operations in cluttered complex transit environments.
With an increasing demand throughout industry for autonomous vehicles with more intelligent decision-making features, the issue of Unmanned Surface Vehicle (USV) navigation is addressed with respect to automatic obstacle avoidance.
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In order to implement automatic target tracking, obstacle avoidance and avoid collisions between group members, the control framework is divided into three layers based on task assignments: flocking strategy design, motion planning and control input design.
This includes tasks such as autonomous take-off and landing, waypoint navigation, automatic in-flight obstacle avoidance, target detection, classification and localization, and payload delivery.
The algorithm of an automatic classification of the on-road obstacles according to their relative velocities is presented here as a prerequisite for an application of the automatic control system for obstacle avoidance.
The authors have introduced four behaviors, named as "exploration", "dispersion", "obstacle avoidance", and "avoiding past".
This paper addresses the cooperative problems in terms of localization, obstacle avoidance planning and automatic leveling control for a cable parallel robot for multiple mobile cranes (CPRMCs).
A third control block is designed to allow the driver to control the vehicle (for example, lane change for passing purposes or obstacle avoidance) overriding the automatic lane-keeping action while maintaining the advantages of the yaw rate feedback.
Sonar is a popular sensor for robotic guidance, particularly for obstacle avoidance and for mapping.
Plenty of algorithms for obstacle avoidance were mentioned in the robotic literature [23 25].
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