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A Novel Task Assignment Strategy for Multi-robot System
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AI
DOI：10.1007/978-981-96-8892-0_1.png)
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Abstract
En 中文
The proliferation of multi-robot systems has significantly advanced the capabilities and applications of robotics in various fields. Efficiently managing and as-signing tasks to multiple robots remains a critical challenge, impacting overall system performance and operational efficiency. This research proposes a cloud-based task assignment strategy leveraging an improved Periodic Min-Max Weight (PMW) algorithm. By integrating cloud computing resources, we aim to enhance the collaboration and coordination among robots, optimizing task distribution and completion. The proposed model demonstrates a scalable and robust solution to the Multi-Robot Task Assignment Problem (MRTA), promising significant improvements in efficiency and adaptability.
Keywords:
Robotics
Task Assignment
Multi-Robot
Improved PMW Algorithm
Journal
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Papers:
41
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