Niklas Ganter
Covariant
Passionate about advancing robotics and automation, Niklas holds a Master's Degree in Mechatronics and Robotics from Technische Universität München, where he specialized in Deep Reinforcement Learning for neurorobotic systems in his Master's Thesis. With a Bachelor's Degree in Mechanical Engineering, his expertise also extends to machine vision algorithms for active exoskeletons. Niklas brings valuable experience from his previous roles, including serving as a Scientific Assistant at TUM, where he contributed to pioneering research in bin-picking robotics. He also worked as a Working Student in Product Management at Magazino, a leading provider of mobile picking robots.
Download Logistics Summit App
