Coordinating recharging of large scale robotic teams
Andrew Drenner, Michael Janssen, Nikolaos Papanikolopoulos
- Year
- 2009
- Citations
- 12
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
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991