Speaker: Kristóf Muhi
Date: March 26, 2026, 17:00
Location: MS TEAMS online
Summary
Robotic pick-and-assembly is a key part of modern manufacturing, where speed, precision, and reliability are essential. While stereo vision systems can provide accurate 3D information, they are often expensive and complex to implement. This work looks at whether lower-cost 2D camera systems can be a practical alternative for accurate object localization and pose estimation in robotic manipulation. By comparing eye-in-hand and eye-to-hand camera setups, it explores how vision systems can balance accuracy, robustness, and affordability in industrial automation.
Speaker
Kristof Muhi holds a Master of Science in Autonomous Systems from the Technical University of Denmark. His academic focus is on computer vision and robotics. He is also an alimni of the GAMF Faculty of John von Neumann University.
All interested are welcome! Participation in the lecture is free of charge.