Research on Model and Algorithm of Task Allocation and Path Planning for Multi-Robot

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.net/journal/ojapps
E-mail: [email protected]

Citations

"Research on Model and Algorithm of Task Allocation and Path Planning for Multi-Robot"
written by Zhenping Li, Xueting Li,
published by Open Journal of Applied Sciences, Vol.7 No.10, 2017

has been cited by the following article(s):

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[2]	Multi-Objective Shop Floor Scheduling Combining NSGA-II and CSA.
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[3]	Auction-Based Task Allocation and Motion Planning for Multi-Robot Systems with Human Supervision
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[4]	Execution-driven dynamic Multi-Robot Task Allocation model easily applicable to real cases
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[5]	Auction-based Task Allocation for Safe and Energy Efficient UAS Parcel Transportation
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[6]	Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems
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[7]	A Path Planning Method of Robot Arm Obstacle Avoidance Based on Dynamic Recursive Ant Colony Algorithm
	2019

[8]	Research on Multi-Robot Task Allocation Based on BP Neural Network Optimized by Genetic Algorithm
	2018

[1]	A Hybrid Method to Solve the Multi-UAV Dynamic Task Assignment Problem Sensors, 2025 DOI:10.3390/s25082502

[2]	Algorithm for assigning a robot to pick an object from a production pipeline PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2022 (MATHTECH 2022): Navigating the Everchanging Norm with Mathematics and Technology, 2024 DOI:10.1063/5.0184210

[3]	Auction-based Task Allocation for Safe and Energy Efficient UAS Parcel Transportation Transportation Research Procedia, 2022 DOI:10.1016/j.trpro.2022.11.008

[4]	Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems Industrial Robot: the international journal of robotics research and application, 2020 DOI:10.1108/IR-04-2020-0073

[5]	Research on Multi-Robot Task Allocation Based on BP Neural Network Optimized by Genetic Algorithm 2018 5th International Conference on Information Science and Control Engineering (ICISCE), 2018 DOI:10.1109/ICISCE.2018.00106