- Grenoble, France
- +33 7 82 69 48 20
- [email protected]
In the context of transfer learning techniques, the main objective of the thesis is to learn Human-Robot Interaction task models usable in planning systems embedded in a robot architecture.
The learning techniques device will be evaluated in carefully devised situations of Human-Robot Interaction on two available robotics platforms: I-Cub (GIPSA-lab/CNRS) and Baxter (LIG-lab).
Taking advantage of the availability of these two robots with different sensorimotor capabilities, we will also explore transfer learning techniques between robots.