Berend Weel
Papers
13
Total Citations
120
H-Index
8
About
Berend Weel is a leading researcher in evolutionary robotics and embodied artificial life, whose work explores how robots can autonomously evolve both their minds and bodies. His most significant contribution is the development of strongly embodied evolutionary systems, where robot controllers and morphologies evolve together in real-time, as demonstrated in his landmark 2014 paper "A robotic ecosystem with evolvable minds and bodies" (21 citations). Weel pioneered online, on-board evolution for modular robots, enabling them to adapt gaits and behaviors without human intervention, even when facing changing environments or arbitrary shapes. His research on the MONEE framework introduced innovative approaches combining open-ended and task-driven evolution through parental investment strategies. With over 110 total citations across his top publications, Weel has fundamentally advanced our understanding of how evolution can operate directly on physical robotic hardware. His work on self-adapting fitness evaluation times and diversity-enhancing migration policies has established crucial foundations for creating truly autonomous, self-reproducing robot organisms capable of surviving and optimizing in real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1A robotic ecosystem with evolvable minds and bodies21 citations · 2014
- 2Towards Embodied Evolution of Robot Organisms15 citations · 2016
- 3Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes13 citations · 2013
- 4
- 5
- 6Right on the MONEE9 citations · 2013
- 7
- 8
- 9
- 10Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes7 citations · 2017