Mateus Silva
Papers
4
Total Citations
116
H-Index
3
About
Mateus Silva is an emerging researcher at the intersection of robotics, artificial intelligence, and autonomous systems, with a particular focus on swarm robotics, edge AI, and mobile robot navigation. His most influential work, "Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications" (2021), has garnered 105 citations and stands as a comprehensive survey of bio-inspired, decentralized multi-agent systems — establishing Silva as a meaningful voice in one of AI's most dynamic subfields. His research spans both theoretical foundations and practical deployment, as demonstrated by his investigations into edge AI-powered mobile robots designed for industrial inspection tasks, reflecting a strong commitment to Industry 4.0 applications. Silva has also contributed to the challenging problem of visual odometry, exploring deep learning approaches to help autonomous robots accurately estimate their position in complex environments. Across his body of work, a clear vision emerges: enabling robots to operate intelligently, independently, and collaboratively in real-world settings. With over 115 cumulative citations and growing momentum in applied robotics, Silva represents a promising contributor to the future of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications105 citations · 2021
- 2A Mobile Robot Based on Edge AI5 citations · 2023
- 3Towards Autonomous Mobile Inspection Robots Using Edge AI4 citations · 2023
- 4Deep-Learning-Based Visual Odometry Models for Mobile Robotics2 citations · 2021