Papers
5
Total Citations
25
H-Index
4
About
Emilio Cartoni is a robotics and artificial intelligence researcher whose work centers on open-ended autonomous learning, developmental robotics, and intrinsically motivated systems. His research addresses one of the most ambitious challenges in AI: building robots and machines capable of acquiring knowledge and skills incrementally and autonomously, much like human infants navigating an unfamiliar world. Cartoni's most significant contributions include the development of innovative architectures that bridge autonomous learning with classical robotic control paradigms. His work on the IMPACT Project, funded by the European Space Agency, produced a groundbreaking integration of open-ended learning within the Sense-Plan-Act framework, earning nine citations. He has also been a driving force behind the REAL (Robot Open-Ended Autonomous Learning) initiative, contributing both a landmark architecture paper and co-organizing the REAL-2019 competition to benchmark progress in the field. His research on autonomous reinforcement learning of hierarchical, interrelated tasks further demonstrates his commitment to enabling robots to tackle complex, real-world environments. With citations accumulating across multiple venues and support from prestigious institutions including ESA, Cartoni's work is shaping the foundational principles of next-generation autonomous robotic systems, making him a notable contributor to the growing field of lifelong machine learning.
Research Focus
Key Achievements
Top Papers
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- 3REAL-2019: Robot open-Ended Autonomous Learning competition.4 citations · 2019
- 4Autonomous Reinforcement Learning of Multiple Interrelated Tasks4 citations · 2019
- 5