Master Thesis Project
Leveraging Acquired Knowledge and Invariant Representations for Cable Manipulation
This project develops a robotic system for autonomous assembly tasks, leveraging kinesthetic demonstration, invariant trajectory learning, and behavior trees to handle rigid and deformable objects with flexibility and precision.