Research

Vision

At the UNM MARHES Laboratory, we lead innovative research in mobile sensor networks, cooperative control of unmanned vehicles, and hybrid systems. Our expertise spans developing adaptive sensor networks for data retrieval and object identification, advancing UAV and UGV coordination, and exploring hybrid systems in robotics, embedded systems, and smart infrastructure. Through these efforts, we strive to push the boundaries of autonomous systems and intelligent control.

Research Areas

Mobile Sensor Networks

The objective of this research is to develop an adaptive network of distributed sensors capable of accomplishing a broad spectrum of tasks ranging from retrieving, manipulating, and synthesizing information to identifying and locating physical objects.

Cooperative Control of Unmanned Vehicles

As small, low-cost, and expendable vehicles(UAV, UGV) become available they can be used for many functions such as reconnaissance, search, and over-the-horizon communications. In these projects, we propose to develop the methodology and the support software for the coordination of heterogeneous teams of unmanned vehicles.

Hybrid Systems

Applications of hybrid systems include embedded systems, biological systems, automated highway systems, air traffic controllers, communications networks, and robotics.

Methodology Keywords

  • Robotics
  • Sensors
  • Manipulation
  • Drones
  • Navigation
  • Multiagent
  • Heterogeneous Systems
  • Robot Control
  • UAV, UGV

Applications