HM Lab - Artificial Intelligence Research
Machine Learning âĸ Computer Vision âĸ Robotics âĸ Signal Processing
Prof. Helton Maia, Ph.D.
Federal University of Rio Grande do Norte (UFRN)
School of Science and Technology
About the Lab¶
HM Lab is a research laboratory dedicated to advancing the frontiers of Artificial Intelligence and its applications in real-world problems. Our work combines theoretical foundations with practical implementations, focusing on creating intelligent systems that can perceive, learn, and act in complex environments.
đ§ Machine Learning
Deep learning architectures, neural networks, and adaptive algorithms for pattern recognition and predictive modeling.
đī¸ Computer Vision
Image processing, object detection, tracking systems, and visual perception for autonomous systems.
đ¤ Robotics
Intelligent control systems, robotic manipulation, navigation algorithms, and human-robot interaction.
đ Signal Processing
Digital signal analysis, feature extraction, time-series processing, and biosignal applications.
đ Educational Resources
đŦ Research Projects
đ¤ Robotic Arm Control
Intelligent control systems for robotic manipulation with machine learning-based motion planning.
â View ProjectđŠī¸ UAV-Based Vehicle Tracking
Safe distance monitoring between vehicles using drone-mounted computer vision systems and CNNs.
â View Projectđ Behavioral Analysis - PCA
Automated mice tracking and behavioral pattern analysis using Principal Component Analysis.
â View Projectđ Neural Behavioral Tracking
Deep learning-based system for real-time mice tracking and activity recognition.
â View Projectâ Prosthetic Control Systems
Neural interface for hand prosthesis control using EMG signals and machine learning.
In Development
đ§ Autonomous Navigation
Vision-based navigation algorithms for mobile robots in dynamic environments.
In Development
đ Teaching & Outreach
Our laboratory is committed to education and knowledge dissemination. We develop comprehensive educational materials, including interactive e-books, video tutorials, and hands-on projects that bridge the gap between theoretical AI concepts and practical implementations.
đ Contact & Collaboration¶
Interested in collaboration or have questions?
- đī¸ Institution: Federal University of Rio Grande do Norte
- đĢ Department: School of Science and Technology
- đ§ Email: Contact through institutional channels
- đ ORCID: 0000-0003-2280-8062
HM Lab - Advancing AI Research and Education
Federal University of Rio Grande do Norte âĸ Brazil