Carla Maria Chagas e Cavalcante Koike
Papers
2
Total Citations
8
H-Index
2
About
Carla Maria Chagas e Cavalcante Koike is a researcher whose work lies at the intersection of robotics, artificial intelligence, and cognitive systems, with a particular focus on autonomous sensory-motor control. Her major contributions center on developing Bayesian frameworks for action selection and attention focusing in autonomous robots—a critical challenge for systems operating in dynamic, information-rich environments. Her most cited work, "Bayesian Approach to Action Selection and Attention Focusing. An Application in Autonomous Robot Programming" (2005), has garnered 6 citations, while its French-language counterpart has received 2 citations. These publications address the fundamental problem of how autonomous agents can efficiently process sensory inputs to generate appropriate motor commands under real-world constraints. Koike’s research is notable for its integration of probabilistic reasoning with robotics, offering a principled solution to the bottleneck of information overload in situated systems. Her work has implications for advancing autonomous navigation, human-robot interaction, and adaptive control, making her a valuable contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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