Daniele Palossi

Dr. Daniele Palossi is a Researcher at ETH Zürich's Department of Digital Integrated Circuits and Systems. His work focuses on autonomous robotics, particularly nano-drones and embedded AI systems. He specializes in developing energy-efficient, vision-based navigation frameworks and deep learning architectures for resource-constrained platforms.

Research interests include autonomous systems, computer vision for robotics, and hardware-software co-design for UAV applications. His recent work advances swarm robotics, sim-to-real transfer learning, and ultra-low-power neural networks for nano-scale drones.

Key contributions include the FünfiBër-Drone modular platform and secure SOC designs for UAV navigation. His research bridges theoretical AI advancements with practical implementations in miniature robotic systems.