Saeed Kankalantary's Laboratory
Multi-Agent Control Systems:
Multi-agent control systems involve multiple autonomous agents working together for a common goal. Applications include robotics, AI, and control theory.
Artificial Intelligence:
AI integrates methods like fuzzy logic, neural networks, and optimization algorithms to replicate human cognition, with applications in fields like image recognition and robotics.
Image Processing:
Tasks such as object detection and segmentation enable applications like autonomous driving and medical imaging.
Gamification:
In robotics, gamification using Unity creates interactive environments for training, control, and evaluation, enhancing engagement.
Navigation:
Techniques such as estimation theory, sensor fusion, and IMUs are crucial for spacecraft navigation and accurate data integration.
Robotics:
Robotics integrates mechanics, electronics, and computing to create autonomous systems capable of performing complex tasks. It plays a significant role in various fields, from industrial automation to healthcare, and even exploration.