| Issue |
EPJ Web Conf.
Volume 354, 2026
19th Global Congress on Manufacturing and Management (GCMM 2025)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 7 | |
| Section | Robotics, Autonomous Systems, and Smart Inspection | |
| DOI | https://doi.org/10.1051/epjconf/202635403003 | |
| Published online | 02 March 2026 | |
https://doi.org/10.1051/epjconf/202635403003
Study on Energy Aware Task Allocation and Optimization Strategies in Swarm Robotic Systems
School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 2 March 2026
Abstract
This work focuses on implementing an energy-aware task allocation and navigation system for a swarm of e-puck robots in a simulated environment using Webots. Each robot monitors its battery level to make the required decisions like selecting tasks in one of multiple aisles, performing assigned operations, waiting at designated points, and returning to a charging station when energy falls below a critical threshold. The system optimizes energy consumption across the swarm while ensuring task completion, reducing idle time, and preventing collisions. This approach demonstrates how autonomous robots can efficiently manage resources in a collaborative multi-robot system, providing insights into real-world applications of energy-aware swarm intelligence in logistics, warehouse management, and industrial automation
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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