Robots Learning Through Interactions
Seminar Robots Learning Through Interactions, held by Prof. Jens Kober.
When: September 10th, 4.30 pm
Where: in person: Sala Grande Covivio, Corso Ferrucci 112, Torino
online at the link: https://polito-it.zoom.us/j/88209224086?pwd=uNqbUSMKJ29YpaPfCzS4nNIja2rhal.1
Speaker: Jens Kober, Delft University of Technology - TU Delft (Netherlands)
The event is in the Ellis Turin Talk online seminar series, collaborating with the Artificial Intelligence Hub of the Politecnico di Torino and the Vandal Research Group of the Department of Control and Computer Engineering.
Abstract: The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Complexity arises from interactions with their environment and humans. A human teacher is always involved in the learning process, either directly (providing data) or indirectly (designing the optimization criterion), which raises the question: How to best make use of the interactions with the human teacher to render the learning process efficient and effective? I will discuss various methods we have developed in the fields of supervised learning, imitation learning, reinforcement learning, and interactive learning and illustrate those with real robot experiments ranging from fun (ball-in-a-cup) to more applied (retail environments).
Contacts:
· Dott.ssa Alessandra Calosso alessandra.calosso@polito.it
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