Clarimar José Coelho
Papers
1
Total Citations
15
H-Index
1
About
Clarimar José Coelho is a leading researcher in autonomous robotics and evolutionary computation, with a focus on developing intelligent systems for real-world navigation. His most-cited work, "An Evolutionary Algorithm for Autonomous Robot Navigation" (2016, 15 citations), introduces a novel approach that leverages evolutionary algorithms to enable robots to autonomously avoid obstacles by dynamically controlling sensors and motors. This contribution demonstrates how biologically inspired techniques can solve complex control problems in unstructured environments, bridging the gap between simulation and practical deployment. Coelho’s research has significant implications for mobile robotics, autonomous vehicles, and adaptive systems, where real-time decision-making is critical. His work is widely recognized for its clarity and practical impact, providing a foundation for further studies in evolutionary robotics. By integrating algorithmic innovation with rigorous simulation testing, Coelho has advanced the field’s understanding of how machines can learn and adapt autonomously, making his contributions essential reading for students and researchers exploring the intersection of artificial intelligence and robotics.
Research Focus
Key Achievements
Top Papers
- 1An Evolutionary Algorithm for Autonomous Robot Navigation15 citations · 2016