Simultaneous Optimization of Task Allocation and Path Planning Using Mixed-Integer Programming for Time and Capacity Constrained Multi-Agent Pickup and Delivery-Reference-Cited by-同舟云学术

Simultaneous Optimization of Task Allocation and Path Planning Using Mixed-Integer Programming for Time and Capacity Constrained Multi-Agent Pickup and Delivery

Published:2022-11-27 Issue: Volume: Page:
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Container-title:2022 22nd International Conference on Control, Automation and Systems (ICCAS)
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Author:

Okubo Takuma¹,Takahashi Masaki²

Affiliation:

1. Keio University, 3-14-1 Hiyoshi, Kohoku-ku,Graduate School of Science and Technology,Yokohama,Japan,223-8522

2. Keio University, 3-14-1 Hiyoshi, Kohoku-ku,Faculty of Science and Technology,Department of System Design Engineering,Yokohama,Japan,223-8522

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10003266/10003667/10003849.pdf?arnumber=10003849

Reference15 articles.

1. Industry 4.0: A survey on technologies, applications and open research issues

2. A Manufacturing Big Data Solution for Active Preventive Maintenance

3. Efficiently handle hundreds of packages per hour Robot (Automatic Guided Vehicle) AGV. 3d rendering free photo;Vanitjan,2022

4. Task allocation in manufacturing: A review

5. Multi-Robot Cooperative Task Allocation With Definite Path-Conflict-Free Handling

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