//certain sections of the original thesis have been removed Introduction These set of four blog posts will cover the work I performed for my Master's Thesis at KAIST titled " Accelerating Policy Learning for Robust Control of Robotic Manipulators and Aerial Vehicles via Physics-Informed Guidance " under Professor Dong Eui Chang. My thesis and the thesis defence were well received by the committee members that included my supervisor Professor Dong Eui Chang, Professor Changdon

About the Project This was a global hackathon that I and some of my friends from the lab joined. It was about the use of LeRobot's SO-101 robots and Huggingface's new foundation model, a Vision-Language-Action (VLA) called SmolVLA . We used it for a multi-robot collaboration task where two of these robots come together to pick up a specific object and transfer between them. Two SmolVLA models run together and we fine-tuned them using imitation learning for our this task. We

About the Project I worked on this project in KAIST with Myriam Schonenenberger , AI Dept., for the AI707 course. The project was called SleeperAgent: Dreaming from a Third Perspective , and it was about "dreaming" up a 3rd person view given only the wrist camera view for a manipulator to improve task efficiency and success rates. The github repo is: https://github.com/otoshuki/sleeperagent Note that everything written here was just copy pasted from the original report we wro