Skip to Main content Skip to Navigation
New interface
Conference papers

Robot Learning from Unlabelled Teaching Signals

Abstract : At home, workplaces or schools, an increasing amount of intelligent robotic systems are starting to be able to help us in our daily life. A key feature in these new domains is the close interaction between people and robots. In particular, such robotic systems need to be teachable by non-technical users, i.e. programmable for new tasks in novel environments through intuitive, flexible and personalized interactions. Specifically, the challenge we address in this work is how a robot learning a new task can be instructed by a human using its own preferred teaching signals, where the mapping between these signals and their meaning is unknown to the robot. For example, different users may use different languages, words, interjections, gestures or even brain signals to mean "good" or "bad".
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Jonathan Grizou Connect in order to contact the contributor
Submitted on : Monday, March 24, 2014 - 6:31:30 PM
Last modification on : Wednesday, May 11, 2022 - 12:06:06 PM
Long-term archiving on: : Tuesday, June 24, 2014 - 10:58:08 AM


Files produced by the author(s)


  • HAL Id : hal-00963725, version 1



Jonathan Grizou, Manuel Lopes, Pierre-Yves Oudeyer. Robot Learning from Unlabelled Teaching Signals. HRI 2014 Pioneers Workshop, Mar 2014, Bielefeld, Germany. ⟨hal-00963725⟩



Record views


Files downloads