Distributed Sensing, Learning and Control in Dynamic Environments (NSF CPS)


PI: 
Bir Bhanu (UC Riverside)
Co-PI: 
Mark Campbell, Amit Roy Chowdhury (UCR), Chinya Ravishankar (UCR)
Funding: 
NSF CNS-1330110
Active Dates: 
2013-2016
People: 
Goal: 
The goal of this research is to investigate the synergy the distributed sensing, learning and control for a group of fixed and mobile sensors in dynamic, uncertain environments.

Title:

   

 

Tasks: 
1. Distributed Perception: We will develop distributed algorithms for robust tracking/recognition, collaborative processing, and spatio-temporal learning, in a network of fixed and mobile sensors such as controllable pan/tilt/zoom cameras.
2. Distributed Decision Making: We will develop distributed planning and learning algorithms that allow for uncertainty and improved sensing and information collection so as to enable a wider range of behaviors in cooperative robotic teams.
3. Dynamic Database for Proactive Perception and Planning: We will develop a dynamic database that enables uncertainty management and spatio-temporal queries based on the scene context and changes.

Publications