Bruno R.O. Floriano
Papers
1
Total Citations
4
H-Index
1
About
Bruno R.O. Floriano is a robotics researcher whose work focuses on the locomotion and balance control of legged platforms, particularly quadrupeds. His most-cited paper, "Walking Pattern Design and Balance Control of a Quadruped Platform" (2018, 4 citations), introduces a novel approach to generating optimized gaits using a Multi Objective Genetic Algorithm. By implementing these gaits both in simulation (V-Rep) and on a real platform, Floriano bridges the gap between theoretical optimization and practical robotic control. His contributions are significant for advancing the stability and efficiency of quadruped robots, which are critical for applications in search-and-rescue, exploration, and assistive robotics. While his citation count is modest, his work represents a foundational step in integrating evolutionary algorithms with real-time balance control—a challenging and underexplored area. Floriano’s research is particularly valuable for students and engineers interested in bio-inspired robotics and the intersection of optimization and mechanical design.
Research Focus
Key Achievements
Top Papers
- 1Walking Pattern Design and Balance Control of a Quadruped Platform4 citations · 2018