Multi-Agent, Robotics, and Heterogenous Systems
We are a group of dedicated students working to enhance the state of the art in multi-robotic systems.
MARHES lab encourages students to pursue an education in engineering or science by developing exciting and interactive programs.
Mobile Sensor Networks
The objective of this research is to develop an adaptive network of distributed sensors capable of accomplishing a wide range of tasks ranging from retrieving, manipulating and synthesizing information to identifying, and locating physical objects. These mobile sensors may some day be employed for a wide range of tasks from fighting forest fires, to cleaning up oil spills. They can perform a variety of critical search and rescue missions in hostile territory such as a battlefield or the site of a terrorist attack.
Cooperative Control of Unmanned Vehicles
As small, low cost and expendable unmanned vehicles (UAV, UGV) are available, they can be used for many functions such as reconnaissance, search, over-the-horizon communications, etc. In this project we propose to develop the methodology and the support software for the coordination of heterogeneous teams of unmanned vehicles.
The area of hybrid systems is an attractive topic that, due to its interdisciplinary nature, does not have a body of rigorous results to date. There are many fundamental mathematical problems that have not been addressed yet and require deeper investigation. Applications of hybrid systems include embedded systems, biological systems, automated highway systems, air-traffic controllers, communications networks, and robotics.
Engineering the Elements Lab Tour
1 May 2016
Last Saturday, April 16th, the MARHES Lab participated in giving tours to local High School Students as part of the HESO event, … Continue reading
31 Mar 2016
Patricio Cruz was selected as the School of Engineering’s outstanding graduate student for Electrical and Computer Engineering. This award is … Continue reading
Sensor Localization Paper Accepted to ACC 2016
11 Mar 2016
“Sensor Localization Using Hybrid RF/Optical Wireless Communications for an Aerial Data Mule” was accepted to ACC 2016. ACC stands for … Continue reading
P. J. Cruz, B. M. Sadler, and R. Fierro, "Sensor Localization Using Hybrid RF/Optical Wireless Communications for an Aerial Data Mule", American Control Conference (ACC), Boston, MA, July 6-8, 2016. (Accepted)
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