Efficient Industrial Solution for Robotic Task Sequencing Problem With Mutual Collision Avoidance & Cycle Time Optimization

Author:

Touzani HichamORCID,Seguy NicolasORCID,Hadj-Abdelkader HichamORCID,Suarez RaulORCID,Rosell JanORCID,Palomo-Avellaneda LeopoldORCID,Bouchafa SamiaORCID

Funder

Segula Technologies and Association Nationale Recherche Technologie

Spanish Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Robot Task Planning for Efficient Battery Disassembly in Electric Vehicles;Robotics;2024-05-11

2. Developing a Natural Language Understanding System for Dealing with the Sequencing Problem in Simulating Brain Damage;WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE;2024-03-28

3. Multi-objective Operation Path Planning Method for Robotic Arm Based on Configuration Space;2023 5th International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT);2023-09-22

4. Near-Optimal Assembly Task Sequencing and Allocation Method for Multi-Arm Robot System;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

5. Online and Scalable Motion Coordination for Multiple Robot Manipulators in Shared Workspaces;IEEE Transactions on Automation Science and Engineering;2023

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