YJ Lim

The integration of AI into robotics has transformed how robots and autonomous systems perceive, learn, and act across industries: from intelligent bin-picking to collaborative tasks in modern factories. Now, with the rise of Generative AI, we're witnessing a fundamental shift in how robotics systems are built, trained, and deployed. This talk will discuss how to develop intelligent robotic systems using both traditional AI approaches and the latest advancements in robotics foundation models. Learn how to design end-to-end workflows that incorporate deep learning, reinforcement learning, transformer-based vision-language-action (VLA) models all within a single, simulation-driven platform. Highlights: • Design and deploy AI-powered bin-picking and motion planning systems with reduced human supervision. • Automate data labeling and training for object detection and pose estimation. • Object detection with zero-shot text-conditioned models. • Segmenting objects across images and videos using vision foundation models