Vladlen Koltun



I direct an international research organization at Apple. We are hiring. Email me with your CV if interested.

Prior to Apple, I was the Chief Scientist for Intelligent Systems at Intel, where I built an international research lab, based on four continents, that produced high-impact results in robotics, computer vision, image synthesis, machine learning, and other areas. I have mentored more than 50 PhD students, postdocs, research scientists, and PhD student interns, many of whom are now successful research leaders.

CV / Publications / Google Scholar



Latest News

Paper published in Science Robotics and featured on the cover

Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning was published in Science Robotics and featured on the journal’s cover. The paper presents a systematic study of control system design methodologies, focusing on reinforcement learning and optimal control in the context of autonomous drone racing. We show that neural networks trained with reinforcement learning (RL) outperform optimal control methods and trace the root cause to the flexibility afforded by RL in the formulation of the controller’s objective. In conjunction with the study, we push autonomous drones to unprecedented performance regimes, demonstrating superhuman control while reaching accelerations greater than 12g and velocities greater than 100 km/h.