A feature and optimized RRT algorithm-based assembly path planning method of complex products

Article Engineering, Manufacturing

A feature-based assembly information modeling method for complex products' 3D assembly design

Zhan Wang et al.

Summary: This paper proposes a feature-based assembly information model to address the issues in complex product assembly design, and verifies its performance and applicability.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2023)

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Article Engineering, Manufacturing

Path planning and obstacle avoidance of multi-robotic system in static and dynamic environments

Saroj Kumar et al.

Summary: This study combines the artificial bee colony optimization algorithm with recurrent neural networks to develop a hybrid controller for multi-robotic navigational problems in unknown environments. The controller is validated through simulations and real-time experiments, and compared with existing controllers, showing significant improvements in path length.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2023)

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Article Engineering, Industrial

Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network

Yu Zhang et al.

Summary: This paper presents an intelligent feature recognition method for STEP-NC-compliant manufacturing using artificial bee colony (ABC) algorithm and back propagation (BP) neural network. The method extracts geometric and topological information from STEP AP203 neutral file, constructs the minimum subgraphs of a part based on the concavity and convexity judgement algorithm, and proposes an improved BP neural network combined with ABC algorithm for STEP-NC-compliant manufacturing feature recognition. Case study concludes that the proposed method is effective and feasible.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

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Article Computer Science, Interdisciplinary Applications

A new approach based on Bezier curves to solve path planning problems for mobile robots

Zafer Durakli et al.

Summary: This article proposes a new approach based on Bezier curves to solve path planning problems, achieving the effectiveness of obtaining an optimal path in known environments through pruning and smoothing.

JOURNAL OF COMPUTATIONAL SCIENCE (2022)

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Article Computer Science, Interdisciplinary Applications

Global path planning based on a bidirectional alternating search A* algorithm for mobile robots

Changgeng Li et al.

Summary: This paper proposes an improved A* algorithm to address the issues of long calculation time, large turning angles, and unsmoothed path in traditional A* algorithm. By introducing bidirectional alternating search, exponential attenuation weighted heuristic function, path node filtering function, and the use of Bezier curves, the algorithm achieves improved search efficiency and smoothness in robot path planning.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

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Article Computer Science, Artificial Intelligence

UCAV Path Planning for Avoiding Obstacles using Cooperative Co-evolution Spider Monkey Optimization

Haoran Zhu et al.

Summary: In this study, a Cooperative co-Evolution (CE)-based Spider Monkey Optimization (SMO) algorithm is proposed for UCAV path planning problem. The algorithm shows competitive performance in terms of path quality and stability compared to other state-of-the-art evolutionary algorithms.

KNOWLEDGE-BASED SYSTEMS (2022)

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Article Engineering, Marine

Three-dimensional path planning for autonomous underwater vehicles based on a whale optimization algorithm

Zheping Yan et al.

Summary: This paper proposes a whale optimization algorithm based on forward-looking sonar for the three-dimensional path planning of autonomous underwater vehicles. By simulating the hunting behavior of whales, the algorithm effectively solves complex problems and demonstrates better planning efficiency and solution precision in experiments.

OCEAN ENGINEERING (2022)

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Article Automation & Control Systems

Multi-maneuver vertical parking path planning and control in a narrow space

Lei Cai et al.

Summary: This paper presents a parking path planning method in a narrow vertical parking space, which can be applied in narrow corridor spaces and narrow spots. The method generates a target line set considering control error factors and selects the optimal target line based on the current position. Furthermore, a re-planning method based on geometric planning is proposed to improve the system's robustness. Experimental results demonstrate that the method performs well in terms of the number of maneuvers and planning time in a small space.

ROBOTICS AND AUTONOMOUS SYSTEMS (2022)

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Article Computer Science, Interdisciplinary Applications

Collision avoidance and path planning for industrial manipulator using slice-based heuristic fast marching tree

Ying-Hao Yu et al.

Summary: With the rise of Industry 4.0, robot manipulators play a crucial role in achieving high productivity. However, building an efficient and safe work environment with robot manipulators remains a hardware capability challenge. To address path planning issues, we propose a joint space-based path planning method that enables real-time path planning speed.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

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Article Computer Science, Interdisciplinary Applications

Multimodal multi-objective evolutionary algorithm for multiple path planning

Xingyi Yao et al.

Summary: This study focuses on the multi-objective path planning problem and proposes a new solution-encoding method and environmental selection strategy to address the multi-modal minimum path problems. The experiments prove that the proposed method is effective and efficient for multimodal multi-objective path planning.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

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Review Computer Science, Interdisciplinary Applications

A digital twin for 3D path planning of large-span curved-arm gantry robot

Wang Wenna et al.

Summary: This paper proposes a digital twin platform for the three-dimensional path planning of a gantry robot and demonstrates its effectiveness in controlling the real gantry robot in terms of safety, production efficiency, and real-time performance.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

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Article Automation & Control Systems

A modified cut-set method for mechanical subassembly identification

Anil Kumar Gulivindala et al.

Summary: This paper compares different subassembly identification methods and proposes an improved method for solving problems in assembly sequence planning. The cut-set method is considered suitable for enhancing workability, while predicate consideration is identified as a key factor influencing solution generation.

ASSEMBLY AUTOMATION (2021)

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Article Computer Science, Artificial Intelligence

Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization

Soyoung Yoo et al.

Summary: Studies have recently focused on deep learning for manufacturing cost prediction, but the lack of explanation due to using models as black boxes remains a challenge. This study proposes a process using explainable artificial intelligence to predict manufacturing costs for 3D CAD models, allowing for visualization of machining features that impact cost. The proposed approach demonstrates high predictability for CNC machined parts and can offer guidance to engineering designers and real-time quotations to online manufacturing platform customers.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Article Engineering, Manufacturing

Research on the optimal design technology of a digital assembly sequence based on an internet of things data collection framework

Yan Cao et al.

Summary: This paper uses assembly of a machine tool modular fixture as an example to establish an IOMT system based on IOT technology, aimed at optimizing assembly sequence using three heuristic algorithms, with the ant colony algorithm showing the highest computational efficiency and accuracy in complex data environments.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2021)

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Article Computer Science, Interdisciplinary Applications

Assembly sequence and path planning for monotone and nonmonotone assemblies with rigid and flexible parts

Ellips Masehian et al.

Summary: The ASPP problem aims to find the proper sequence of parts and short assembly paths, but most existing methods ignore the need for intermediate part placements. This paper introduces a new method called SPP-Flex, which outperforms other methods with a maximum gap of 4.6%.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)

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Article Automation & Control Systems