scholarly journals Reinforcement learning-based dynamic obstacle avoidance and integration of path planning

2021 ◽  
Author(s):  
Jaewan Choi ◽  
Geonhee Lee ◽  
Chibum Lee
Keyword(s):  
Reinforcement Learning ◽  
Path Planning ◽  
Obstacle Avoidance ◽  
Dynamic Obstacle Avoidance ◽  
Dynamic Obstacle

scholarly journals Dynamic Obstacle Avoidance Method for Carrier Aircraft Based on Deep Reinforcement Learning

2021 ◽  
Vol 33 (7) ◽  
pp. 1102-1112
Author(s):  
Junxiao Xue ◽  
Xiangyan Kong ◽  
Yibo Guo ◽  
Aiguo Lu ◽  
Jian Li ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Obstacle Avoidance ◽  
Dynamic Obstacle Avoidance ◽  
Dynamic Obstacle

scholarly journals An Improved VFF Approach for Robot Path Planning in Unknown and Dynamic Environments

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jianjun Ni ◽  
Wenbo Wu ◽  
Jinrong Shen ◽  
Xinnan Fan
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Dynamic Environments ◽  
Minimum Problem ◽  
Robot Path Planning ◽  
Virtual Force ◽  
Dynamic Obstacle Avoidance ◽  
Dynamic Obstacle ◽  
Local Minimum Problem ◽  
Robot Path

Robot path planning in unknown and dynamic environments is one of the hot topics in the field of robot control. The virtual force field (VFF) is an efficient path planning method for robot. However, there are some shortcomings of the traditional VFF based methods, such as the local minimum problem and the higher computational complexity, in dealing with the dynamic obstacle avoidance. In this paper, an improved VFF approach is proposed for the real-time robot path planning, where the environment is unknown and changing. An area ratio parameter is introduced into the proposed VFF based approach, where the size of the robot and obstacles are considered. Furthermore, a fuzzy control module is added, to deal with the problem of obstacle avoidance in dynamic environments, by adjusting the rotation angle of the robot. Finally, some simulation experiments are carried out to validate and demonstrate the efficiency of the proposed approach.

Dynamic obstacle avoidance path planning of UAVs

2015 ◽  
Author(s):  
Xue Qian ◽  
Cheng Peng ◽  
Cheng Nong ◽  
Zou Xiang
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Dynamic Obstacle Avoidance ◽  
Dynamic Obstacle
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