Papers
23
Total Citations
406
H-Index
11
About
Dimitri Ognibene is a prominent researcher at the intersection of cognitive robotics, active vision, and human-robot interaction, whose work has fundamentally advanced how autonomous robots perceive, learn, and collaborate with humans. His research spans active vision systems, world models, predictive coding, and Theory of Mind in robotics, addressing core challenges in building machines that can continuously develop through environmental interaction. Ognibene's most influential contributions include pioneering biologically inspired active vision frameworks that integrate bottom-up and top-down attention mechanisms, reflected in his widely cited 2014 ecological active vision study (59 citations) and earlier neural architecture work combining epistemic and pragmatic action. His 2023 survey on world models and predictive coding for developmental robotics (63 citations) has quickly become a key reference for the field. Equally notable is his work on multimodal cooperative learning and language's coordinating role in human-robot collaboration (53 citations), alongside innovative concepts like the Human-Robot Cloud for distributed situated intelligence. With contributions spanning proactive intention recognition, adaptive Theory of Mind architectures, and social robotics, Ognibene's research consistently bridges neuroscience-inspired principles with practical robotic implementations, making him a significant voice shaping the next generation of intelligent, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Towards active event recognition32 citations · 2013
- 6The Human-Robot Cloud: Situated collective intelligence on demand30 citations · 2012
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- 8What is the role of the next generation of cognitive robotics?16 citations · 2021
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