Research & Projects

Exploring and surveying real-world scenarios using ground rover multi-robot systems (MRS) or multi-agent systems (MAS) necessitates the development and integration of strategies that enable autonomous performance, such as scalability and robustness. To support these tasks, it is crucial to incorporate parameters that address communication constraints, cybersecurity threats, and formation control.

Objectives

The primary objectives in exploring and surveying real-world scenarios with ground rover multi-robot systems (MRS) or multi-agent systems (MAS) are centered on enabling effective and reliable autonomous performance. A key goal is achieving scalability, allowing the system to seamlessly expand and operate with larger numbers of robots without compromising efficiency. Equally important is ensuring robustness so that the system can function reliably in unpredictable and dynamic environments. To support these objectives, it is essential to address communication constraints, ensuring that coordination and data exchange remain efficient even under limited or unstable network conditions. Additionally, safeguarding against cybersecurity threats is critical to maintaining system integrity and preventing malicious disruptions. Finally, formation control plays a vital role in enabling structured and coordinated movement, which is necessary for efficient exploration and surveying tasks.