Study on robotic mobile machining techniques for large complex components

Bo, Tao; Zhao, Xingwei; Ding, Han

doi:10.1360/n092018-00192

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…The cooperation among multiple industrial robots will bring cooperative motion planning and synchronous motion control problems of multiple manipulators under constraints [ 73 ]. In multi-manipulator cooperative motion planning, it is essential to customize the cooperative manner, in order to safely and efficiently achieve the desired manipulation task.…”

Section: Unmanned Swarm Systemsmentioning

confidence: 99%

From animal collective behaviors to swarm robotic cooperation

Duan

Huo

Fan

2023

National Science Review

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The collective behaviors of animals, from schooling fish to packing wolves and flocking birds, display plenty of fascinating phenomena that result from simple interaction rules among individuals. The emergent intelligent properties of the animal collective behaviors, such as self-organization, robustness, adaptability, and expansibility, have inspired the design of autonomous unmanned swarm systems. This article reviews several typical natural collective behaviors, introduces the origin and connotation of swarm intelligence, gives the application case of animal collective behaviors. On this basis, the article focuses on the forefront of progress and bionic achievements of aerial, ground and marine robotics swarms, illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster systems. Finally, considering the significance of Coexisting-Cooperative-Cognitive (Tri-Co) human-machine system, the key technologies to be solved are given as the reference directions for the subsequent exploration.

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Section: Unmanned Swarm Systemsmentioning

confidence: 99%

From animal collective behaviors to swarm robotic cooperation

Duan

Huo

Fan

2023

National Science Review

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Topology Synthesis for In-Situ Machining Mechanism With Dual Platforms and Decoupled Motions of Position and Rotation

Qi,

Yang,

Tong

2024

IEEE Access

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A Multi-Objective Optimization Method of a Mobile Robot Milling System Construction for Large Cabins

Wen

Zhang

et al. 2023

Applied Sciences

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Constructing mobile robot milling systems with multiple mounting surfaces for large cabins still has several unsolved issues, such as huge economic and time costs, unpredictable milling accuracy and milling time. Hence, a multi-objective optimization method for constructing a mobile robot milling system of large cabins is proposed in the current paper. Firstly, mathematical models of constructing the system and the optimization objective function are established. Thereafter, a multi-objective optimization method for the mobile robot milling system construction based on NSGA-II (Fast Non-dominated Sorting Genetic Algorithm) is proposed. Finally, feasibility and validity of the proposed method are verified through comparing the optimization result with two practical mobile robot systems. Results show that the proposed method is able to estimate different combinations’ milling accuracy, cost and time consumption.

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Study on robotic mobile machining techniques for large complex components

Cited by 3 publications

References 19 publications

From animal collective behaviors to swarm robotic cooperation

From animal collective behaviors to swarm robotic cooperation

Topology Synthesis for In-Situ Machining Mechanism With Dual Platforms and Decoupled Motions of Position and Rotation

A Multi-Objective Optimization Method of a Mobile Robot Milling System Construction for Large Cabins

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