Fahad Mehmmood
Project Lead · Applied AI
AI on real hardware: computer vision and imitation learning, so a robotic arm can learn simple tasks from demonstrations.

Applied AI connects machine learning to physical engineering, and to the Robo Arm platform in particular. Rather than treating AI as software alone, the project applies computer vision, data collection, sensor feedback, imitation learning and task planning to real hardware.
Members work on camera-based perception, object detection, dataset collection, teleoperation, robot demonstrations, model training, evaluation and live task execution. The long-term goal is a system where a robotic arm learns simple tasks from demonstrations and performs them reliably.
Fahad Mehmmood
Project Lead · Applied AI
Muhammad Tayyeb Bukhari
Project Lead · Applied AI
Usman Waseem
Project Lead · Applied AI
Ahmed Yar Khan
Member · Applied AI
Hayan Azhar
Member · Applied AI
Meraal Rahman
Member · Applied AI
Muhammad Aayan Abdullah Malik
Member · Applied AI
Zarnab Tariq
Member · Applied AI