A path planning method for UAVs based on multi-objective pigeon-inspired optimisation and differential evolution

2021 ◽  
Vol 17 (2) ◽  
pp. 105
Author(s):  
Bingda Tong ◽  
Lin Chen ◽  
Haibin Duan
2019 ◽  
Vol 27 (3) ◽  
pp. 3257-3270
Author(s):  
Yan Chun Zheng ◽  
Juan Wang ◽  
Dong Guo ◽  
Hai Zhang ◽  
Chao Chao Li ◽  
...  

Robotica ◽  
2018 ◽  
Vol 36 (12) ◽  
pp. 1857-1873
Author(s):  
Benyan Huo ◽  
Xingang Zhao ◽  
Jianda Han ◽  
Weiliang Xu

SUMMARYBevel-tip needles have the potential to improve paracentetic precision and decrease paracentetic traumas. In order to drive bevel-tip needles precisely with the constrains of path length and path dangerousness, we propose a closed-loop control method that only requires the position of the needle tip and can be easily applied in a clinical setting. The control method is based on the path planning method proposed in this paper. To establish the closed-loop control method, a kinematic model of bevel-tip needles is first presented, and the relationship between the puncture path and controlled variables is established. Second, we transform the path planning method into a multi-objective optimization problem, which takes the path error, path length and path dangerousness into account. Multi-objective particle swarm optimization is employed to solve the optimization problem. Then, a control method based on path planning is presented. The current needle tip attitude is essential to plan an insertion path. We analyze two methods to obtain the tip attitude and compare their effects using both simulations and experiments. In the end, simulations and experiments in phantom tissue are executed and analyzed, the results show that our methods have high accuracy and have the ability to deal with the model parameter uncertainty.


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