Title
Aerial Grasping with a Lightweight Manipulator Based on Multi-Objective Optimization and Visual Compensation.
Abstract
Autonomous grasping with an aerial manipulator in the applications of aerial transportation and manipulation is still a challenging problem because of the complex kinematics/dynamics and motion constraints of the coupled rotors-manipulator system. The paper develops a novel aerial manipulation system with a lightweight manipulator, an X8 coaxial octocopter and onboard visual tracking system. To implement autonomous grasping control, we develop a novel and efficient approach that includes trajectory planning, visual trajectory tracking and kinematic compensation. Trajectory planning for aerial grasping control is formulated as a multi-objective optimization problem, while motion constraints and collision avoidance are considered in the optimization. A genetic method is applied to obtain the optimal solution. A kinematic compensation-based visual trajectory tracking is introduced to address the coupled affection between the manipulator and octocopter, with the advantage of discarding the complex dynamic parameter calibration. Finally, several experiments are performed to verify the effectiveness of the proposed approach.
Year
DOI
Venue
2019
10.3390/s19194253
SENSORS
Keywords
Field
DocType
visual tracking,visual compensation,trajectory planning,aerial manipulation
Kinematics,Control theory,Manipulator,Multi-objective optimization,Collision,Electronic engineering,Eye tracking,Engineering,Optimization problem,Trajectory,Calibration
Journal
Volume
Issue
ISSN
19
19
1424-8220
Citations 
PageRank 
References 
1
0.36
0
Authors
4
Name
Order
Citations
PageRank
Haoyao Chen118923.79
Fengyu Quan221.05
Linxu Fang310.36
Shiwu Zhang4177.55