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An obstacle avoidance trajectory control method for intelligent robot based on K decision tree

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  • Junru Wang

Abstract

In order to overcome the problem that the existing trajectory control methods of robot avoiding obstacles do not recognise the position and pose of the target, which have large control error, this paper proposes the research of trajectory control method of intelligent robot avoiding obstacles based on K decision tree. The robot motion model and the ultrasonic sensor observation model are established, and the self positioning coordinates are obtained. K-decision tree algorithm is used to extract the visual features of point cloud, build database, target recognition, etc. to achieve the trajectory control of robot obstacle avoidance. The experimental results show that the control accuracy of the proposed method is strong and it is a reliable obstacle avoidance control method for robot.

Suggested Citation

  • Junru Wang, 2021. "An obstacle avoidance trajectory control method for intelligent robot based on K decision tree," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 35(3), pages 218-233.
    • Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:218-233
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