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