Small, light-weight flying robots such as the 20-gram DelFly Explorer form an extreme challenge to Artificial Intelligence, because of the strict limitations in onboard sensors, processing, and memory. I try to uncover general principles of intelligence that will allow such limited, small robots to perform complex tasks.
Vision is a prime sense for both animals and robots. I create efficient vision algorithms for robot control and navigation.
Fruit flies are able to fly, avoid obstacles, navigate, and socially interact with each other with only a 100,000 neurons. Insects are a rich source of inspiration for elegant, efficient AI.
As Rodney Brooks said: "Simulation is doomed to succeed" - I focus on problems actually faced by robots in the real world.
Please click below to have a look at a selection of my current research projects.
The Dutch Science Foundation (NWO) has granted me a personal grant on the topic of self-supervised learning. The grant, named TOP grant, is intended for researchers who obtained their PhD maximally 10 years ago. A structured study on self-supervised learning In the proposal, I forward self-supervised learning (SSL) as a reliable mechanism to have robots […]
Today I gave the first lecture at the World Horti Center (WHC). The WHC is going to be an important international hub for innovations in the horticulture sector. During the lecture, I explained my vision on how swarms of drones will be able to contribute to precision agriculture indoors. Hopefully this is the first step […]
Last few years, I worked together with ESA and MIT on an experiment, in which a drone learns to see in zero gravity. Yesterday, ESA presented our joint work at the International Astronautical Congress in Mexico. In the experiment, the drone started to fly based on stereo vision with two cameras, but learned online to […]
