Inkyu is a Senior Staff AI Research Scientist at Chef Robotics, where he works on physical AI for food automation. He builds end-to-end robot learning pipelines with vision-language-action (VLA) models, world models, and imitation and reinforcement learning to teach bimanual robots to assemble meals like burgers and salad bowls.
Inkyu began his career as a software engineer at Samsung Electronics, developing software for its first Android smartphone collaborating with Google, before moving into robotics, where he has spent more than 15 years building systems that perceive, learn, and act across aerial, ground, and field settings. Before Chef, he was a technical lead at Tencent’s XR Vision Lab, working on visual-inertial SLAM and multi-camera calibration, and a Senior Research Scientist at CSIRO, where he led local navigation for Team CSIRO Data61 in the DARPA Subterranean Challenge. Earlier, at ETH Zurich’s Autonomous Systems Lab (ASL), he worked in agricultural robotics, introducing weedNet and weedMap, deep-learning frameworks for semantic weed mapping from aerial imagery, and co-authoring an early, widely cited study on controlling a quadrotor with reinforcement learning. His DeepFruits fruit-detection system was an early step toward the food-focused robotics he builds today.
Inkyu holds a PhD in Electrical Engineering and Computer Science from Queensland University of Technology. He is an IEEE Senior Member and an associate editor for the Journal of Field Robotics (JFR) and IEEE Robotics and Automation Letters (RA-L), with more than 6,800 citations across his research.