A Path Planning Method of Robot Arm Obstacle Avoidance Based on Dynamic Recursive Ant Colony Algorithm

Zhao, Huadong; Lei, Chaofan; Jiang, Nan

doi:10.1109/icpics47731.2019.8942495

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…The experiment proved that the method was robust and efficient. Zhao et al [ 136 ] proposed a dynamic recursive ant colony algorithm and used the algorithm to solve the collision-free trajectory planning problem. They verified the practicability and validity of the method through simulation.…”

Section: Path and Trajectory Planningmentioning

confidence: 99%

A Review of Intelligent Assembly Technology of Small Electronic Equipment

Tian

Ding

Du³

et al. 2023

Micromachines

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Electronic equipment, including phased array radars, satellites, high-performance computers, etc., has been widely used in military and civilian fields. Its importance and significance are self-evident. Electronic equipment has many small components, various functions, and complex structures, making assembly an essential step in the manufacturing process of electronic equipment. In recent years, the traditional assembly methods have had difficulty meeting the increasingly complex assembly needs of military and civilian electronic equipment. With the rapid development of Industry 4.0, emerging intelligent assembly technology is replacing the original “semi-automatic” assembly technology. Aiming at the assembly requirements of small electronic equipment, we first evaluate the existing problems and technical difficulties. Then, we analyze the intelligent assembly technology of electronic equipment from three aspects: visual positioning, path and trajectory planning, and force–position coordination control technology. Further, we describe and summarize the research status and the application of the technology and discuss possible future research directions in the intelligent assembly technology of small electronic equipment.

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Section: Path and Trajectory Planningmentioning

confidence: 99%

A Review of Intelligent Assembly Technology of Small Electronic Equipment

Tian

Ding

Du³

et al. 2023

Micromachines

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“…Collision-free trajectory planning has also been tested on a SCARA robot using the enhanced algorithm Dynamic Recursive Ant Colony Algorithm for Obstacle Avoidance Path Planning [112]. Key modifications involve the introduction of a sliding window and a forgetting factor.…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review

Juříček,

Parák,

Kůdela

2023

Computation

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The significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in industry. Evolutionary computation (EC) techniques are optimization methods that have found their use in diverse engineering fields. This state-of-the-art review focuses on recent developments and progress in their applications for industrial robotics, especially for path planning problems that need to satisfy various constraints that are implied by both the geometry of the robot and its surroundings. We discuss the most-used EC method and the modifications that suit this particular purpose, as well as the different simulation environments that are used for their development. Lastly, we outline the possible research gaps and the expected directions future research in this area will entail.

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“…η k il is the inspiration function of the node i from the node l. The purpose of modifying the inspiration function is to enhance the ant's perceptions of the target node at the current node, which will guide ant to move to, thus, reduce the search time and avoid falling into a local optimum [74]. This algorithm can speed up the convergence and effectively generate reasonable solutions even in complex scenarios, which inspired people to use this in collision avoidance system with some more improvements in the ACO algorithm [75][76][77].…”

Section: Ant Colony Algorithmmentioning

confidence: 99%

A Survey of Path Planning Algorithms for Mobile Robots

et al. 2021

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Path planning algorithms are used by mobile robots, unmanned aerial vehicles, and autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths from an origin to a destination. Choosing an appropriate path planning algorithm helps to ensure safe and effective point-to-point navigation, and the optimal algorithm depends on the robot geometry as well as the computing constraints, including static/holonomic and dynamic/non-holonomically-constrained systems, and requires a comprehensive understanding of contemporary solutions. The goal of this paper is to help novice practitioners gain an awareness of the classes of path planning algorithms used today and to understand their potential use cases—particularly within automated or unmanned systems. To that end, we provide broad, rather than deep, coverage of key and foundational algorithms, with popular algorithms and variants considered in the context of different robotic systems. The definitions, summaries, and comparisons are relevant to novice robotics engineers and embedded system developers seeking a primer of available algorithms.

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A Path Planning Method of Robot Arm Obstacle Avoidance Based on Dynamic Recursive Ant Colony Algorithm

Cited by 9 publications

References 10 publications

A Review of Intelligent Assembly Technology of Small Electronic Equipment

A Review of Intelligent Assembly Technology of Small Electronic Equipment

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review

A Survey of Path Planning Algorithms for Mobile Robots

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