Robot Learning from Unlabelled Teaching Signals

Jonathan Grizou 1, 2 Manuel Lopes 2, 1 Pierre-Yves Oudeyer 2, 1
2 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
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 metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-00963725
Contributor : Jonathan Grizou <>
Submitted on : Monday, March 24, 2014 - 6:31:30 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on : Tuesday, June 24, 2014 - 10:58:08 AM

File

hripioneers2014.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00963725, version 1

Citation

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

Share

Metrics

Record views

687

Files downloads

593