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About

Evert Haasdijk is a prominent researcher in evolutionary robotics and autonomous systems, whose work has fundamentally advanced our understanding of how robots can adapt, evolve, and self-organize. His research spans evolutionary algorithms, embodied evolution, modular robotics, and real-world hardware evolution, placing him at the forefront of a field where biology-inspired computation meets physical robotics. Haasdijk's most celebrated contribution is his work on evolutionary robotics, accumulating over 600 citations, cementing his foundational role in the discipline. His influential 2018 review of embodied evolution in collective robotics — garnering nearly 100 citations — provided the field with a much-needed conceptual framework, clarifying definitions and mechanisms for distributed, on-line robot evolution. His proof-of-concept demonstrating real-world evolution of robot morphologies was a landmark achievement, pushing beyond controller optimization toward robots that can genuinely "reproduce" physically. Across multiple papers from 2010 onward, Haasdijk consistently pioneered on-line, on-board evolutionary strategies, enabling robots to adapt continuously during operation. His explorations of HyperNEAT locomotion control, Lamarckian evolution, and search space analysis of evolvable morphologies further demonstrate the remarkable breadth and depth of his contributions — making his body of work essential reading for any serious robotics or AI researcher.