Flight control simulator using optic-flow Hardware-in-the-loop

The most simplistic acts in nature can be incredibly complex to replicate. Among which, insects in general, are profound micro-machines with evolution as the backbone for their most optimized features. This study focuses on developing an efficient sensing and processing strategy for autonomous flight maneuvers in Atalanta, a bio-inspired robotic...

Indoor swarm exploration with Pocket Drones

Pocket drones, weighing less than 50 grams, are small, agile and inherently safe. This makes them suitable for several surveillance tasks such as search and rescue, green-house monitoring and pipe-line inspection. In order for a more efficient search, a swarm of pocket drones would be ideal to explore these types of areas faster. Current methods...

Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation

The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to the best of the author’s knowledge, the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in a biologically...