Environmental Engineering
Predicting Sunshine Sky imagers, developed at UC San Diego and in use at the nation’s largest solar power plant, minimize uncertainty in solar energy generation by predicting solar power output. The imagers track cloud cover via fish-eye lenses and three-dimensional modeling.
The story image

Build a power plant, design a rocket, save the environment

We're solving challenging research problems in energy, environment and medicine; collaborating with academic departments, institutes and industry; and preparing the next generation of engineers, technology leaders and innovators

Degrees Offered

Undergraduate

Bachelors

Graduate

M.S., M.A.S., Ph.D.

The Coordinated Robotics Lab has developed new image processing techniques for characterization of structural fires by small self-righting Segway-like vehicles.  This system takes the thermal data taken by the vehicle's infrared camera and maps it onto the 3d scene constructed using the vehicle's stereo RGB cameras, thereby creating a temperature-painted virtual reality as it drives through a smoky building with hot spots and people distributed within it. Click here for an explanatory video.

The newest book by Dr. Vlado A. Lubarda, Adjunct Professor of MAE, entitled Topics in Solid Mechanics: Elasticity, Plasticity, Damage, Nano and Biomechanics (450 pages), has been published by the Montenegrin Academy of Sciences and Arts in its monograph series. This book was printed by the Obod Press (http://www.stamparijaobod.com/istorija.htm) from Montenegro.

 Mechanical engineers at the University of California, San Diego invented a robot designed to scoot along utility lines, searching for damage and other problems that require repairs. Made of off-the-shelf electronics and plastic parts printed on an inexpensive 3D printer, the SkySweeper prototype could be scaled up for less than $1,000, making it significantly more economical than the two models of robots currently used to inspect power lines.

No front page content has been created yet.