Marcelo A. C. Fernandes

About

Marcelo A. C. Fernandes is a Brazilian researcher whose work spans artificial intelligence, autonomous mobile robotics, and emerging internet technologies, with a particular focus on bridging theoretical innovation and practical application. He is perhaps best recognized for his contributions to autonomous robot navigation, most notably the development of the Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm (DPNA-GA), which enables mobile terrestrial robots to intelligently reroute in real time within unknown and dynamic environments — work that has accumulated over 27 citations across multiple publications. His 2016 paper on problem-based learning applied to AI education, his most cited work with 25 citations, demonstrates a distinctive commitment to pedagogical innovation, integrating mobile robotics challenges into university curricula. Fernandes has also advanced 3D object recognition using multifoveated point clouds, addressing computational efficiency in RGB-D sensor applications. More recently, his research has expanded into tactile internet systems, exploring FPGA-based solutions and reconfigurable computing to minimize latency in remote robotic control applications. His diverse, application-driven portfolio reflects a researcher equally invested in advancing intelligent systems and nurturing the next generation of engineers through innovative teaching methodologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Problem‐based learning applied to the artificial intelligence course

   25 citations · 2016
2. 2
   Dynamic planning navigation strategy for mobile terrestrial robots

   13 citations · 2014
3. 3
   Efficient 3D Objects Recognition Using Multifoveated Point Clouds

   12 citations · 2018
4. 4
   Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots

   10 citations · 2018
5. 5
   FPGA Applied to Latency Reduction for the Tactile Internet

   5 citations · 2022
6. 6
   Dynamic Planning Navigation Technique Optimized with Genetic Algorithm

   4 citations · 2014
7. 7
   A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics

   3 citations · 2025
8. 8
   Proposal of a Real-Time Test Platform for Tactile Internet Systems

   3 citations · 2022
9. 9
   Reconfigurable Computing Applied to Latency Reduction for the Tactile Internet.

   2 citations · 2020

Key Collaborators

Contact & Links