Raphael Bermal Costa
Papers
2
Total Citations
5
H-Index
2
About
Raphael Bermal Costa is an emerging researcher at the intersection of robotics, public health education, and intelligent control systems. His work focuses on two key areas: using low-cost mobile robots as educational tools for disease prevention, and advancing behavior-based control methods for autonomous systems. In his most cited work, Costa developed a differential topology robot to teach dengue and chikungunya prevention in Brazilian schools, directly addressing the critical need for innovative public health interventions in tropical regions. This approach demonstrates how robotics can serve social impact beyond traditional applications. His research on behavior-based control with Learning from Demonstration (LfD) represents a significant contribution to mobile robot soccer, enabling robots to acquire complex path-following behaviors through imitation. By combining LfD with Behavior-Based Control (BBC), Costa’s methodology allows robots to abstract and execute micro-behaviors using artificial neural networks, advancing the field of autonomous navigation. Though early in his career, with papers accumulating citations in 2024, Costa’s work exemplifies how robotics can bridge technical innovation with real-world educational and health challenges.
Research Focus
Key Achievements
Top Papers
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