Path planning for visual servoing with search algorithm

To solve the visual servoing tasks in complex environment, a path planning method based on improved rapidly exploring random trees algorithm is proposed. First, the improved rapidly exploring random trees planning method is adopted, which keeps the observed feature points in the field of view. The s...

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Vydané v:Advances in mechanical engineering Ročník 10; číslo 1
Hlavní autori: Wang, Ting-Ting, Han, Xue, Zhou, Jun, Chen, Hua
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London, England SAGE Publications 01.01.2018
Sage Publications Ltd
SAGE Publishing
Predmet:
Algorithms
Authorship
Cameras
Computer simulation
Controllers
Field of view
Neural networks
Obstacle avoidance
Robot arms
Robots
Search algorithms
Servocontrol
Task complexity
Trajectories
Trajectory planning
Trees
Visual control
Visual tasks
robotic manipulator
improved rapidly exploring random trees algorithm
image-based visual servoing
Path planning
narrow space
ISSN:1687-8132, 1687-8140
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Shrnutí:To solve the visual servoing tasks in complex environment, a path planning method based on improved rapidly exploring random trees algorithm is proposed. First, the improved rapidly exploring random trees planning method is adopted, which keeps the observed feature points in the field of view. The start node and the desired node are initialized as roots of multi-trees which grow harmoniously to plan path of the robot. Then, the planned path is used to project the three-dimensional target feature points into the image space and obtain the feature trajectory for the image-based visual servoing controller. Finally, the feature trajectory is tracked by the image-based visual servoing controller. The proposed visual servoing design method takes field of view constraints, camera retreat problem, and obstacle avoidance into consideration, which can significantly improve the ability of the robotic manipulator, especially in the narrow space. Simulation and experiment on 6-degree-of-freedom robot are conducted. The results present the effectiveness of the proposed algorithm.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-8132
1687-8140
DOI:10.1177/1687814017750264