Abstract
With the improvement of agricultural production automation, agricultural robots play an increasingly important role in agricultural production. In this study, a solution based on visual servo control algorithm and path planning optimization is proposed to meet the automation requirements in the process of picking fragrant pears. This scheme aims to improve the picking efficiency and accuracy of the robot, so as to improve the efficiency of agricultural production. In the aspect of visual servo control, a servo control algorithm based on visual sensor is designed in this study, which realizes the accurate identification and positioning of fragrant pear. The algorithm has fast system response speed and good control performance stability, which enables the robot to perform the picking action quickly and accurately. In the aspect of path planning optimization, the simulated annealing algorithm (SAA) is used to optimize the path planning of the robot. The optimization algorithm can effectively avoid obstacles in complex environment and choose the optimal picking route. The optimized path planning significantly improves the picking efficiency of the robot and significantly reduces the path length, which provides an important reference for the practical application of the robot. Combining the effects of visual servo control algorithm and path planning optimization, the pear picking robot shows high picking efficiency and accuracy in the experiment. The optimized path planning can make the robot finish the picking task quickly and stably in complex environment, which provides an efficient and intelligent solution for agricultural production. Based on the above research results, we believe that the visual servo control algorithm and path planning optimization of pear picking robot have important application prospects and can bring greater benefits and convenience to agricultural production.
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Claims 6
Claim · model-written summary
Optimized path planning with the simulated annealing algorithm significantly improved the picking efficiency of the robot.
- Taxon
- fragrant pearse0
- Treatment
- simulated annealing algorithm (SAA)e2
- Outcome
- picking efficiencye1
- Direction
- significantly improvese1
Not reportedComparator
Verbatim
e0“the process of picking fragrant pears”
e1“The optimized path planning significantly improves the picking efficiency of the robot and significantly reduces the path length”
e2“the simulated annealing algorithm (SAA) is used to optimize the path planning of the robot”
Claim · model-written summary
Optimized path planning with the simulated annealing algorithm significantly reduced the path length.
- Taxon
- fragrant pearse0
- Treatment
- simulated annealing algorithm (SAA)e2
- Outcome
- path lengthe1
- Direction
- significantly reducese1
Not reportedComparator
Verbatim
e0“the process of picking fragrant pears”
e1“The optimized path planning significantly improves the picking efficiency of the robot and significantly reduces the path length”
e2“the simulated annealing algorithm (SAA) is used to optimize the path planning of the robot”
Claim · model-written summary
The visual servo control algorithm has fast system response speed and good control performance stability.
Verbatim
e0“the process of picking fragrant pears”
e3“The algorithm has fast system response speed and good control performance stability”
Claim · model-written summary
The visual servo control algorithm realizes accurate identification and positioning of fragrant pear.
Verbatim
e4“a servo control algorithm based on visual sensor is designed in this study, which realizes the accurate identification and positioning of fragrant pear”
Claim · model-written summary
The pear picking robot shows high picking efficiency and accuracy in the experiment.
Verbatim
e0“the process of picking fragrant pears”
e5“the pear picking robot shows high picking efficiency and accuracy in the experiment”
Claim · model-written summary
The optimization algorithm can avoid obstacles in complex environment and choose the optimal picking route.
Verbatim
e0“the process of picking fragrant pears”
e6“can effectively avoid obstacles in complex environment and choose the optimal picking route”