Papers

9

Total Citations

116

H-Index

4

About

Bart de Boer is a leading researcher in the intersection of robotics, imitation, and social learning, with a focus on how embodied agents autonomously develop and share behaviors. His work explores the dynamic emergence of shared action categories and behavioral self-organization through imitative interactions, demonstrating how populations of robots can culturally propagate knowledge without explicit programming. De Boer’s most cited paper, "Imitation and Social Learning in Robots, Humans and Animals" (2006, 50 citations), provides a foundational framework for understanding imitation across species and artificial systems. He has also made significant contributions to active object recognition, tackling the challenge of 3D recognition in cluttered environments by enabling robots to explore objects from multiple viewpoints. His research on tackling premature convergence in Monte-Carlo localization (2009, 20 citations) further advances robust robot navigation. Notable achievements include his early work on autonomous learning of basic behaviors (1994) and his ongoing exploration of how imitation drives the self-organization of complex behaviors in both simulated and real robotic agents. De Boer’s interdisciplinary approach bridges robotics, cognitive science, and ethology, offering profound insights into the mechanisms of social learning and cultural evolution in artificial systems.

Research Focus

Key Achievements

4
H-Index
9
Papers
116
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions
50 citations · 2006
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Groningen, Vrije Universiteit Brussel, Rijksmuseum

Top Papers

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    2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5
    3 citations · 2007
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Key Collaborators

Contact & Links

Available for collaboration
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