Papers
36
Total Citations
542
H-Index
14
About
Sebastian Risi is a pioneering researcher at the intersection of evolutionary computation, artificial intelligence, and robotics, whose work spans some of the most imaginative frontiers in modern computer science. His research explores how biological principles — from morphogenesis to neural plasticity — can inspire the design of adaptive, self-organizing systems. Risi has made significant contributions to neuroevolution and quality diversity algorithms, including advancing MAP-Elites for noisy, real-world domains (30 citations), and developing approaches for evolving flexible neural controllers capable of managing diverse robot morphologies (27 citations). His groundbreaking Flora Robotica project (62 citations) epitomizes his boldest ambitions, blending living plants with distributed robotic systems to grow architectural structures — a concept that redefines the boundaries between natural and artificial life. Risi has also pushed the frontier of self-repairing and recyclable robots, including work on neural cellular automata for soft robot regeneration and 1D-printed recyclable robots (28 citations). His meta-learning research using Hebbian plasticity in random networks reflects a deep commitment to lifelong adaptability in AI systems. Across these diverse threads, Risi consistently demonstrates that evolutionary and biological thinking can produce radically creative solutions to complex engineering and design challenges.
Research Focus
Key Achievements
Top Papers
- 1Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids62 citations · 2015
- 2
- 3Single-unit pattern generators for quadruped locomotion30 citations · 2013
- 4MAP-Elites for noisy domains by adaptive sampling30 citations · 2019
- 51D Printing of Recyclable Robots28 citations · 2017
- 6Regenerating Soft Robots Through Neural Cellular Automata27 citations · 2021
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- 10Meta-Learning through Hebbian Plasticity in Random Networks22 citations · 2020