Talk Through It

End-user-directed robot manipulation learning through interactive feedback (RA-L 2024).

Talk Through It studies how an end user can direct a robot’s manipulation learning through feedback. I co-authored the work with Carl Winge, Bahaa Aldeeb, Dongyeop Kang, and Karthik Desingh. It was published in IEEE Robotics and Automation Letters in 2024.

Read the paper · Project repository

Project video

The authors' public introduction to the end-user feedback workflow and robot manipulation study.

Explore the full project page and demonstrations.