JOURNAL ARTICLE

Coordinating recharging of large scale robotic teams

Abstract

Robotic teams are often proposed for solving a number of problems, ranging from exploring unknown environments to monitoring areas for security or environmental contamination. These teams are composed of individual robots which may lack the capabilities to complete a task on their own. One critical capability required by teams regardless of the mission is the ability to have sufficient battery life to remain active for the duration of the mission. We present an approach for maintaining battery life by developing a hierarchical team composed of deployable robots and docking stations. Unlike other approaches, the approach presented here focuses on docking stations supporting multiple deployed robots simultaneously. In order to do so the docking stations must continually optimize their locations with respect to the robots in need of service. Discussion of the optimization is presented, along with simulation in multiple environments to illustrate the scalability of the approach to large robotic teams. The on-going transition of this algorithm to actual hardware is also discussed.

Keywords:
Scalability Robot Computer science Distributed computing Ranging Task (project management) Mobile robot Real-time computing Artificial intelligence Systems engineering Engineering Database

Metrics

12
Cited By
1.12
FWCI (Field Weighted Citation Impact)
21
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Optimization and Search Problems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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