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.
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 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.
This performance degradation has been the major obstacle in introducing the automatic speech recognition (ASR) technology to the real-world applications.
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 platforms are open, but have sheds, and automatic sensors that halt trains if obstacles are detected on the tracks.
In contrast, automatic transmission technologies potentially overcome these obstacles but differ in operating characteristics.
