Weslley Alves Farias
Papers
1
Total Citations
2
H-Index
1
About
Weslley Alves Farias is a researcher in evolutionary robotics, with a primary focus on bridging the reality gap—a critical challenge that limits the practical deployment of evolved robot controllers in real-world environments. His most cited work, "Comparison between fuzzy and neural controllers to cross the reality gap in evolutionary robotics" (2018), systematically evaluates how different control architectures, specifically fuzzy logic and neural networks, perform when transferring behaviors from simulation to physical robots. By demonstrating the trade-offs between these approaches in navigation tasks, Farias provides valuable insights into designing more robust controllers that maintain performance across the simulation-to-reality divide. His contributions address one of the field's most persistent open questions, helping to advance the applicability of evolutionary robotics in complex, practical scenarios. With 2 citations, this paper serves as a foundational reference for researchers seeking to understand and mitigate the reality gap. Farias’s work is particularly relevant for students and engineers aiming to deploy evolved robotic systems in real-world settings, offering a clear comparative analysis that guides controller selection and future research directions.
Research Focus
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Top Papers
- 1