Luca Grillotti
Research Scientist at Sakana AI
Hi! I’m Luca Grillotti, a Research Scientist at Sakana AI in Tokyo. My research focuses on Autonomous Research, Open-Endedness, Quality-Diversity algorithms and Evolutionary Robotics.
Before joining Sakana AI, I completed my PhD at the Adaptive and Intelligent Robotics Lab (AIRL) of Imperial College London under the supervision of Professor Antoine Cully. My PhD investigated how to use Quality-Diversity and Reinforcement Learning algorithms to learn collections of diverse robot skills in an unsupervised manner without simulation models. This poster summarises the research conducted during the first months of my PhD.
I actively contribute to several open-source Quality-Diversity projects, such as QDax and Kheperax. During my PhD, I also co-organised the Imperial College Autonomous Learning and Reasoning (ICARL) monthly seminar series, where researchers in the field were invited to present their work on campus.
As a Teaching Scholar for the Department of Computing, I made substantial contributions to education at Imperial College London. For example, I gave several PyTorch lectures, designed the corresponding lecture notes, and taught half of a Computational Techniques module. I hold a Postgraduate Certificate in University Learning and Teaching (PGCert ULT), with specialized training in approaches to teaching and digital learning.
