Papers
10
Total Citations
78
H-Index
5
About
Hendry Ferreira Chame’s research lies at the dynamic intersection of neurorobotics, cognitive modeling, and human-robot interaction, with a particular focus on how robots can perceive, learn, and act in uncertain, real-world environments. His most influential work introduces a computational model of motivation grounded in self-determination theory and a CANN architecture (24 citations), offering a novel framework for endowing autonomous agents with intrinsic drives. Chame has also made significant contributions to underwater robotics, developing neural-network-based fusion methods for robot localization under unmodeled noise (14 citations). His interdisciplinary approach is exemplified by a hybrid human-neurorobotics study on primary intersubjectivity via active inference (11 citations), bridging developmental psychology, phenomenology, and robotics to explore the foundations of social cognition. Further work on visually guided humanoid walking and cognitive-motor compliance in intentional human-robot interaction (7 citations) demonstrates his commitment to building robots that can navigate and cooperate with humans naturally. With a growing body of work spanning biologically inspired localization, attention models, and engagement quantification, Chame’s research is shaping the future of adaptive, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Cognitive and motor compliance in intentional human-robot interaction7 citations · 2020
- 6Embodied Localization in Visually-guided Walk of Humanoid Robots3 citations · 2014
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- 9Reliable fusion of black-box estimates of underwater localization3 citations · 2018
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