Airborne particulate matter is a serious threat to both our health and the environment. It is also the primary cause for visibility degradation in urban metropolitan areas. We present the design, implementation, and evaluation of an optical technique to measure visibility using commodity cameras and

Rapid Miniaturization, improved power consumption and easy interfacing via Bluetooth to cellphones have enabled the use of real-time, ubiquitous tracking of human body movements. Our research focuses on developing algorithms that use streaming inertial data either from a secondary sensor or from a m

STOMP stands for the Student Teacher Outreach Mentorship Program. The STOMP model is designed to create partnerships between STEM (Science, Technology, Engineering and Mathematics) "experts" and K-12 classrooms to assist K-12 teachers in developing and implementing interactive STEM lessons.

NAMOS is a collaborative research project involving robotics, sensor networks and marine biology. The work is motivated by the scientific objective of obtaining high resolution information on spatio-temporal distribution of plankton assemblages in aquatic environments. The goal is to develop robust,...

MERHAB is a program aimed at Monitoring and Event Response for Harmful Algal Blooms in the coastal waters of Southern California. MERHAB currently operates two Slocum gliders; He Ha Pe and Rusalka. Slocum underwater gliders are relatively small, buoyancy-driven vehicles that generates horizontal m...

Reliable wireless connectivity is a fundamental requirement for most cooperative tasks performed by a robot team. For purposes of inter-robot communication, we model reliable communication as redundant connectivity. Our first step to achieving redundant connectivity is given a connected robot networ...

Robot networks are large-scale networks of simple robots that are each individually limited in capability but by collaborating with each other, yield an escalation in aggregate potential. Achieving this potential poses significant challenges; global tasks or properties must be achieved using . . .

The USC Autonomous Flying Vehicle Project was initiated in 1991. Since then, the Robotic Embedded Systems Laboratory has designed, built and conducted research with four robot helicopters, the most recent and advanced being the 3rd generation AVATAR (Autonomous Vehicle Aerial Tracking And Reconnaiss...

We are developing algorithms for navigation based on fusing information from visual and inertial sensors. Current projects include accurate, guided navigation for robots in dynamic environments, and articulated body tracking for e.g. activity recognition and health monitoring. We also foresee a wi