Distributed Sensing, Learning and Control in Dynamic Environments (NSF CPS)
Bir Bhanu (UC Riverside)
Mark Campbell, Amit Roy Chowdhury (UCR), Chinya Ravishankar (UCR)
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.
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.