Prof. Humbert’s research include perception, reduction and feedback principles in biology. Nervous systems have evolved to make useful reductions of sensory-rich high dimensional data, forming simple representations that allow animals to perform well with limited computation in the presence of uncertainty. His laboratory works with biologists to apply control- and information-theoretic tools to formalize these principles in small animals such as insects, providing insight into the biology and resulting in novel, robust and computationally efficient solutions for small-scale engineered systems.
keywords
Bio-inspired sensing, estimation, and control, insect visual processing, autonomous robotics, flight dynamics, flight control and avionics, dynamical systems, modeling of biological systems, soft robotics
