报告人： Guido de Croon 教授 代尔夫特理工大学
主持人：单冯
报告时间：2025年10月25日（周六）上午11:00-11:30
报告地点：av电影 九龙湖校区计算机楼233室
报告摘要：Tiny drones are promising for many applications, such as search-and-rescue, greenhouse monitoring, or keeping track of stock in warehouses. Since they are small, they can fly in narrow areas. Moreover, their light weight makes them very safe for flight around humans. However, making such tiny drones fly completely by themselves is an enormous challenge. Most approaches to Artificial Intelligence for robotics have been designed with self-driving cars or other large robots in mind – and these are able to carry many sensors and ample processing. In my talk, I will argue that a different approach is necessary for achieving autonomous flight with tiny drones. In particular, I will discuss how we can draw inspiration from flying insects, and endow our drones with similar intelligence. Examples include the fully autonomous “DelFly Explorer”, a 20-gram flapping wing drone, and swarms of CrazyFlie quadrotors of 30 grams able to explore unknown environments and find gas leaks. Moreover, I will discuss the promises of novel neuromorphic sensing and processing technologies, illustrating this with recent experiments from our lab.
报告人简介：Guido de Croon: Received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. Currently, he is Full Professor at the Micro Air Vehicle lab (MAVLab) of Delft University of Technology. His research interest lies with computationally efficient, bio-inspired algorithms for autonomous, light-weight flying robots, with an emphasis on computer vision. His work has included fully autonomous flight of the 20-gram flapping wing drone "DelFly Explorer" and a swarm of tiny, 30-gram nano-copters able to explore unknown environments and localize gas leaks. Moreover, his group has made several advances in energy-efficient, low-latency neuromorphic sensing and processing for autonomous drones. Finally, his work has generated various new hypotheses on biological intelligence, including how honeybees actively evaluate distances with optical flow and how flying insects can estimate their flight attitude without using accelerometers.
