Clarimar José Coelho

Pontifícia Universidade Católica de Goiás

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

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
An Evolutionary Algorithm for Autonomous Robot Navigation
15 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Pontifícia Universidade Católica de Goiás

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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