Iago Richard Rodrigues
Universidade Federal de Pernambuco, Universidade Católica de Pernambuco
Papers
6
Total Citations
77
H-Index
6
About
Iago Richard Rodrigues is a researcher specializing in deep learning, computer vision, and human-robot collaboration, with a particular focus on developing intelligent safety systems for industrial robotics environments. His work bridges the gap between advanced machine learning techniques and practical robotic applications, addressing critical challenges in robot pose estimation, collision detection, and real-time safety monitoring. Among his most notable contributions is FCN-Pose (2022), a pruned and quantized convolutional neural network designed to bring robot pose estimation to resource-constrained IoT devices — a significant advancement in making deep learning feasible for edge computing applications, garnering 20 citations. His research into human-robot collaboration safety has been especially impactful, producing frameworks and systems such as HOSA, an end-to-end safety platform for human-robot interaction, alongside multiple studies on collision detection and risk assessment in industrial settings, collectively accumulating over 40 citations. Rodrigues consistently pushes toward deployable, real-world solutions, combining deep learning with extreme learning models to improve robustness and efficiency. His body of work represents a meaningful contribution to making collaborative robotics safer and more accessible across industrial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5HOSA: An End-to-End Safety System for Human-Robot Interaction10 citations · 2022
- 6