A collection of research projects results and applications.
Event-based sensing for day and night pedestrian tracking and vehicle classification at the edge. Local, low-power TinyAI on the gantry.
Embedded sensorimotor control loop using spiking neural networks for a goal perception-action-cycle. Neuromorphic sensing combined with embedded spiking neural networks for mobile robot kinematics and manipulation control.
Bee-like trajectory stabilization algorithm using neuromorphic sensing and embedded processing. Optic flow and displacement to center adapt robot's trajectory.
Neuromorphic sensing fused with depth sensors. Each event from the neuromorphic camera has a depth value coded in the reference system of the embedded system.