Efficient Industrial Solution for Robotic Task Sequencing Problem With Mutual Collision Avoidance & Cycle Time Optimization-Reference-Cited by-同舟云学术

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

Published:2022-04 Issue:2 Volume:7 Page:2597-2604
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Touzani Hicham^ORCID,Seguy Nicolas^ORCID,Hadj-Abdelkader Hicham^ORCID,Suarez Raul^ORCID,Rosell Jan^ORCID,Palomo-Avellaneda Leopold^ORCID,Bouchafa Samia^ORCID

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

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09681247.pdf?arnumber=9681247

Reference20 articles.

1. A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks

2. Scheduling pick-and-place tasks for dual-arm manipulators using incremental search on coordination diagrams;kimmel;Proc ICAPS Workshop Plan Robot,0

3. Dynamic multi-robot task allocation under uncertainty and temporal constraints

4. An Iterative Approach for Collision Free Routing and Scheduling in Multirobot Stations

5. Motion Planning

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