Improved Neural Network 3D Space Obstacle Avoidance Algorithm for Mobile Robot

  • Yuchuang Tong
  • Jinguo LiuEmail author
  • Yuwang Liu
  • Zhaojie Ju
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11743)


Path planning problems are classical optimization problems in many fields, such as computers, mathematics, transportation, robots, etc., which can be described as an optimization problem in mathematics. In this paper, the mathematical model of obstacle environment is established. The characteristics of neural network algorithm, simulated annealing algorithm and adaptive variable stepsize via linear reinforcement are studied respectively. A new neural network 3D space obstacle avoidance algorithm for mobile robot is proposed, which solves the problem of the computational duration and minimum distance of the traditional neural network obstacle avoidance algorithm in solving the optimal path. According to the characteristics of the improved neural network algorithm, it is fused with a variety of algorithms to obtain the optimal path algorithm that achieves the shortest path distance and meets the requirements of obstacle avoidance security. The simulation experiment of the algorithm is simulated by Matlab. The results show that the improved neural network spatial obstacle avoidance algorithm based on the multiple algorithms proposed in this paper can effectively accelerate the convergence speed of path planning, realize the minimum path distance, and achieve very good path planning effect.


Global path planning Obstacle avoidance algorithm Improved neural network algorithm Adaptive variable stepsize Simulated annealing 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yuchuang Tong
    • 1
    • 2
    • 3
  • Jinguo Liu
    • 1
    • 2
    Email author
  • Yuwang Liu
    • 1
    • 2
  • Zhaojie Ju
    • 4
  1. 1.State Key Laboratory of Robotics, Shenyang Institute of AutomationChinese Academy of SciencesShenyangChina
  2. 2.Institutes for Robotics and Intelligent ManufacturingChinese Academy of SciencesShenyangChina
  3. 3.University of the Chinese Academy of ScienceBeijingChina
  4. 4.School of ComputingUniversity of PortsmouthPortsmouthUK

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