LADDCS is a part of the Aerospace Research Center (ARC) in the department of Mechanical and Aerospace Engineering (MAE) at The Ohio State University. The lab is a leading center for theoretical, computational and experimental research in multi-agent autonomous systems, stochastic dynamic systems, randomized algorithms in modeling, uncertainty quantification, optimization and control. LADDCS focuses on applications in the areas of collaborative robots, space situational awareness and sustainable energy (e.g. battery prognostics, wind forecasting).
LADDCS has 710 sq-ft of floor space, of which 500 sqft. is dedicated to robotics use. We are equipped with in house Unmanned Aerial Systems (UAS) equipped to fly in wildland burns, off-the-shelf UAV systems and ground robotic systems (Turtlebots).
- Uncertainty quantification in complex stochastic systems, optimal nonlinear state estimation
Application areas: system prognostics, space-situational awareness, forecasting for sustainable energy (e.g. wind), multi-target tracking.
- Integration of UAS in Unstructured Uncertainty
Application areas: Chance resource constrained optimization, graph-based path-planning, evidential sensor fusion.
- Randomization techniques, Markov chain Monte Carlo.
Application areas: space-situational awareness, stochastic global optimization (e.g. building optimization), high dimensional Bayesian data fusion.