The article discusses a consensus-based resource scheduling strategy for multi-robot tasks. It proposes the integration of edge-computing into multi-robot collaborative scheduling to maximize resource utilization for complex tasks. The approach is decentralized and adapts to dynamic computation needs and communication-changing statistics. The strategy aims to optimize resources while maintaining performance objectives. The paper goes on to discuss the concept of cloud robotics and the challenges associated with it, including data processing, offloading decision-making, resource allocation, and controller architecture. The authors suggest that using network edges can reduce latency, prevent large files from being offloaded, and eliminate the need for data pre-processing.
Publication date: 20 Nov 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2311.10194
