Contact Trajectory Prompting: In-Context Transfer of Contact-Rich Behaviors from a Single Demonstration

In-context robot learning enables robots to acquire new behaviors from demonstrations without test-time parameter updates. However, visual and kinematic specifications alone may not distinguish contact-rich behaviors that share similar motions but require different interaction intensities or pattern