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Scientia Silvae Sinicae ›› 2021, Vol. 57 ›› Issue (2): 179-192.doi: 10.11707/j.1001-7488.20210218

• Scientific notes • Previous Articles    

Obstacle Avoidance Path Planning of Manipulator of Forestry Felling & Cultivation Machine

Yinghao Yang1,2,Jinhao Liu1,2,*,Yili Zheng1,Qingqing Huang1,2   

  1. 1. School of Technology, Beijing Forestry University Beijing 100083
    2. Forestry and Environment Special Equipment Research Center, Beijing Forestry University Beijing 100083
  • Received:2020-06-28 Online:2021-02-25 Published:2021-03-29
  • Contact: Jinhao Liu

Abstract:

Objective: A novel method of obstacle avoidance path planning for a manipulator was proposed in response to meet the requirements of obstacle avoidance operations of forestry felling & cultivation machine in complex environments of forest areas. This method was expected to provide a theoretical basis for the development of forestry machinery and equipment. Method: Firstly, the kinematic analysis of the manipulator of the forestry felling & cultivation machine was carried out. At the same time, in order to solve the problems of strong random unsmooth path and long calculation time of the classic rapidly-exploring random tree, the idea of improving the artificial potential field was introduced. An avoid rapidly-exploring random tree(avoid-rapidly exploring random tree, A-RRT) algorithm was utilized for path search, which used B-spline curve fitting and the minimum inverse solution of the manipulator energy to optimize the motion path. Then the multi-point collision detection method was used, to realize the stability and rapid planning of the obstacle avoidance path of the manipulator. Result: Through experimental simulation analysis, the results showed that: 1) the manipulator of forestry felling & cultivation machine could successfully avoid obstacles and reach the target point in the obstacle environments. 2) Whether in a single obstacle or multiple obstacle environments, the angle transformation of each joint of manipulator was relatively smooth. 3) Compared with the classic RRT algorithm, biasing RRT algorithm and bidirectional RRT algorithm, the proposed path planning algorithm in this study improved the search efficiency by 95.9%, 56.9% and 40.5% respectively, which effectively improved the efficiency of robotic arm obstacle avoidance planning. Conclusion: The proposed obstacle avoidance algorithm of the manipulator of forestry felling & cultivation machine in this paper might have a better obstacle avoidance effect and a faster searching speed, which could reduce the labor intensity of the forestry environments, and could also improve the efficiency of the harvesting, tending and pilling of forestry mechanical equipment.

Key words: forestry felling & cultivation machine, manipulator, rapidly-exploring random tree, obstacle avoidance planning

CLC Number: