The Robotic Controls and Estimation Group develops concepts and technology converting perceptual data from diverse sensing modalities to situational awareness, on which optimized decisions are made and effective controls are generated. This includes development of algorithms and software for robots performing in various environments (water, ground, air and space) and in uncertain and dynamic conditions, specifically related to:
- State and parameter estimation, filtering, tracking, data association, sensor fusion, model refinement and learning.
- Decision-related techniques, including autonomous reasoning, decision-making, action and motion planning, and trajectory optimization.
- Advanced control methodologies, including nonlinear control, distributed and decentralized controls, structural and behavior control, applied to surface guidance navigation and control, automated landing, integrated dynamics and control of distributed dynamical systems, multi-vehicle coordination, and natural human-robot interfaces.