[robotics-worldwide] CFP: Workshop on Interactive Robot Learning -
athomaz at cc.gatech.edu
Fri Apr 4 09:41:33 PDT 2008
Call for Participation
RSS 2008 Workshop - Interactive Robot Learning
The organizers invite you to submit a research abstract for review to
the RSS 2008 Workshop on Interactive Robot Learning. The workshop
will take place on Saturday, June 28th at the Swiss Federal Institute
of Technology Zurich in Zurich, Switzerland.
submission deadline - April 30th
notification of acceptance - May 15th
workshop - June 28th
This workshop on Interactive Robot Learning will span the breadth of
research questions at the intersection of Machine Learning and Human-
Many future applications for autonomous robots bring them into human
environments as helpful assistants to untrained users in homes,
offices, hospitals, and more. These applications will often require
robots to flexibly adapt to the dynamic needs of human users. Rather
than being pre-programmed at the factory with a fixed repertoire of
skills, these personal robots will need to be able to quickly learn
how to perform new tasks and skills from natural human instruction.
While there are numerous examples of successful applications of
Machine Learning algorithms, this scenario poses new problems for the
field. Learning in real-time from everyday people, unfamiliar with
Machine Learning or robotics, is a new domain with new challenges for
There are several open research questions in Interactive Robot
Learning, these are some of the topics we hope to address in this
* Typical metrics of Machine Learning success may not be appropriate
for interactive robot learning. In addition to speed and efficiency
of the learning process, there are other dimensions of success like
the ease of interaction and the transparency of the process for the
* What kinds of input can one expect a human partner to provide?
Often input channels are specified by the robot learning designer,
but we need to also consider whether or not this will be intuitive
for an everyday human user.
* How to best integrate human input into Machine Learning algorithms.
A fundamental question is: Do we need new algorithms, or
reformulations of existing algorithms?
* A significant topic for the workshop will be highlighting new work
and state-of-the-art approaches to robots learning from people:
Learning by demonstration, Learning by imitation, Reinforcement
Learning, among others.
* Human-Robot Interaction
* Machine Learning
* Learning by demonstration
* Learning by imitation
* Reinforcement learning with human input
* Active Learning
* Communication of knowledge and metaknowledge
* Identification of new requirements for ML in social domains
* Identification of suitable metrics for interactive learning
* User studies in interactive robot learning
All accepted abstracts will be published in a workshop proceedings.
New results are welcome. We also encourage researchers with relevant
work to retarget previously published results to the workshop topic.
Authors will be asked to present their work as a talk or poster.
All submissions should be a research abstract in PDF format using the
RSS template (http://www.roboticsconference.org/doc/
rss2008_paper_template.tgz). Abstracts should be two pages in length
and describe the material to be presented at the workshop.
Submissions should be emailed to athomaz at cc.gatech.edu by April 30th.
Notification of acceptance will be given on or before May 15th.
* Andrea L. Thomaz (Georgia Institute of Techonolgy)
* Geert-Jan M. Kruijff (Language Technology Lab, DFKI GmbH)
* Henrik Jacobsson (Language Technology Lab, DFKI Gm
* Danijel Skocaj (University of Ljubljana)
Asst. Professor, Interactive Computing
Georgia Institute of Technology
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