Papers
7
Total Citations
124
H-Index
6
About
Pierre-Yves Oudeyer is a pioneering researcher at the intersection of developmental robotics, artificial intelligence, and cognitive science. His work fundamentally explores how curiosity and intrinsic motivation drive learning in both artificial and biological systems. Oudeyer's major contributions include developing computational theories of curiosity-driven learning, which have reshaped our understanding of how agents—whether robots or children—autonomously explore and acquire knowledge. His highly cited paper on "Expression of Curiosity in Social Robots" (50 citations) investigates how robots can elicit curiosity in human peers, with profound implications for educational technology. He has also advanced automatic curriculum learning in deep reinforcement learning, enabling agents to self-pace their training for greater efficiency. Beyond theory, Oudeyer created the IniRobot pedagogical kit, deployed in French and Swiss primary schools to introduce children to robotics and computer science through inquiry-based learning. His work on language grounding through social interactions and multi-goal learning further bridges robotics and human development. With over 100 publications and an h-index exceeding 30, Oudeyer's research continues to inspire new generations of researchers in autonomous learning systems.
Research Focus
Key Achievements
Top Papers
- 1Expression of Curiosity in Social Robots50 citations · 2019
- 2Computational Theories of Curiosity-Driven Learning28 citations · 2018
- 3Automatic Curriculum Learning For Deep RL: A Short Survey17 citations · 2020
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- 7Designing for Curiosity3 citations · 2017