Coen C. de Visser
Delft University of Technology, University of Illinois Chicago
Papers
6
Total Citations
48
H-Index
3
About
Coen C. de Visser is a pioneering researcher at the intersection of autonomous flight, bio-inspired robotics, and neural interfaces. His work spans two compelling domains: advancing control systems for unconventional aerial vehicles—including quadrotors and flapping-wing micro air vehicles (MAVs)—and developing hybrid brain-computer interface (BCI) systems that integrate biological neurons with robotic platforms. In his most cited work (19 citations), de Visser demonstrated the first successful application of reinforcement learning to quadrotor guidance in real autonomous flight, proving that adaptive control can handle unknown environments. He also made foundational contributions to flapping-wing aerodynamics, creating data-informed quasi-steady models that enable on-board state estimation for ornithopters—a critical step toward practical autonomous bird-like drones. His innovative "Neurabotics" system (7 citations) combined rat cortical recordings with mobile robots to explore BCI applications, while his hybrid mechano-bio system investigated auditory cortical responses for environmental sensing. By pioneering Behaviour Trees in evolutionary robotics and developing sensor fusion techniques for high-fidelity flight data, de Visser has established himself as a versatile innovator whose work bridges control theory, neuroscience, and bio-inspired engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5A Hybrid System for Exploring Cortically-Based Environmental Sensing2 citations · 2006
- 6Behaviour Trees for Evolutionary Robotics2 citations · 2014