Carmelo J. A. Bastos-Filho
Papers
5
Total Citations
41
H-Index
4
About
Carmelo J. A. Bastos-Filho is a pioneering researcher at the intersection of robotics, artificial intelligence, and human-robot interaction. His work spans three key domains: socially assistive robotics, bio-inspired optimization algorithms, and multi-agent systems. A major contribution is his systematic review of computer vision for socially assistive robots (12 citations), which mapped how semantic analysis can enhance robotic care for aging populations. He has also advanced mobile ad hoc networks (MANETs) by applying bio-inspired multi-objective algorithms to optimize routing recovery (7 citations), enabling more resilient communication among drones, cars, and robots. His innovative fuzzy-swarm hybrid approach for coordinating unmanned aerial vehicles (5 citations) demonstrates how combining fuzzy logic with swarm intelligence can achieve robust multi-robot control. Notably, Bastos-Filho explores creative applications of robotics, such as using a NAO robot for guitar tuning and song performance evaluation (4 citations), and comparing robot embodiments for child music education (13 citations). His work bridges technical optimization with socially meaningful applications, showing how AI and robotics can serve both practical and educational purposes. With over 40 total citations across his most-cited papers, Bastos-Filho’s research continues to shape the future of intelligent, assistive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Comparing Social Robot Embodiment for Child Musical Education13 citations · 2022
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- 5Guitar Tuner and Song Performance Evaluation Using a NAO robot4 citations · 2020