Summary
Quantao Yang is a robot learning researcher and engineer with a decade of experience building perception-to-action systems for mobile manipulation. Currently a postdoctoral researcher at KTH and a founding research engineer at Qualia, he bridges academic research and industrial R&D, recently focusing on integrating foundation models into long-horizon robot manipulation. His background includes a PhD in Robot Learning, a visiting stint at UT Austin on imitation learning, and industry roles at ABB contributing Vision-Language-Action models for the WARA robotics project. Known for practical deployments as well as theory, he has moved between startups and large labs—bringing experience from algorithm engineering to production robotics. Based in Sweden, Quantao combines deep reinforcement learning and robot imitation expertise with an eye toward scalable, multimodal robot learning systems. An understated strength is his ability to translate cutting-edge research into usable pipelines for real-world robotic manipulation.
10 years of coding experience
4 years of employment as a software developer
Visiting PhD, Robot learning, Visiting PhD, Robot learning at The University of Texas at Austin
Doctor of Philosophy - PhD, Robot Learning, Doctor of Philosophy - PhD, Robot Learning at Örebro University
Master’s Degree, Information and automation engineering, Master’s Degree, Information and automation engineering at University of Bremen
Bachelor’s Degree, Communication engineering, Bachelor’s Degree, Communication engineering at Shandong University
English, Chinese, German