Yan Sun’s research while affiliated with Xi’an International Studies University and other places

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Publications (1)


The neural network of the obstacle penalty function.
An example diagram of the path planning algorithm flow. (a) Initial path planning. (b) The first step of path planning. (c) The second step of path planning. (d) The third step of path planning. (e) The fourth step of path planning. (f) The fifth step of path planning. (g) Path planning completed.
An example diagram of the path planning algorithm flow. (a) Initial path planning. (b) The first step of path planning. (c) The second step of path planning. (d) The third step of path planning. (e) The fourth step of path planning. (f) The fifth step of path planning. (g) Path planning completed.
An example diagram of the path planning algorithm flow. (a) Initial path planning. (b) The first step of path planning. (c) The second step of path planning. (d) The third step of path planning. (e) The fourth step of path planning. (f) The fifth step of path planning. (g) Path planning completed.
An example diagram of the path planning algorithm flow. (a) Initial path planning. (b) The first step of path planning. (c) The second step of path planning. (d) The third step of path planning. (e) The fourth step of path planning. (f) The fifth step of path planning. (g) Path planning completed.

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Path Planning of Mobile Robots in Warehouse Logistics Relying on Computer Multimedia 3D Reconstruction Technology
  • Article
  • Full-text available

December 2021

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151 Reads

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6 Citations

Yan Sun

Because traditional methods are difficult to solve the problems related to the path planning of logistics robots, this study proposes a method of using computer multimedia 3D reconstruction technology to realize the path planning of warehouse logistics robots. Without fully considering the accurate movement path between points, according to the warehouse logistics robot, it is judged whether the starting point is at the exit. The planning problem of the movement path is converted into a TSP problem and a TS-TSP problem. Finally, the analysis of experimental results shows that the method proposed in this study converges faster than traditional algorithms and can quickly obtain the global optimal solution. At the same time, the warehousing logistics robot requires less path planning time and has strong practical application.

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Citations (1)


... In recent years, with the rapid development of e-commerce, more and more people have chosen to buy goods on major e-commerce platforms, resulting in a surge of orders in the warehousing and logistics industry, and the development of warehousing and logistics is faced with great challenges [1][2]. As one of the biggest demand points of e-commerce on logistics, warehousing logistics is undergoing a great change [3]. ...

Reference:

Image Recognition Technology Applied to the Design of Mobile Platform for Warehouse Logistics Robots
Path Planning of Mobile Robots in Warehouse Logistics Relying on Computer Multimedia 3D Reconstruction Technology