[robotics-worldwide] [meetings] CfP Deadline Extension - Active Learning in Robotics WS at Humanoids
Herke van Hoof
hoof at ias.tu-darmstadt.de
Tue Oct 7 09:46:50 PDT 2014
To enable as many researchers as possible to participate, we extend the
for submissions to the workshop on active learning in robotics to October
Full details can be found below and on the workshop website:
The workshop will feature invited talks by among others Andreas Krause,
Martinez-Cantin and Jivko Sinapov, as well as an interactive session
for contributed posters.
ACTIVE LEARNING IN ROBOTICS WORKSHOP
NOVEMBER 18th 2014
We invite interested researchers to submit abstracts to the Humanoids 2014
workshop on Active Learning in Robotics: Exploration Strategies in Complex
The design of agents that can learn complex skills by themselves is still
infancy. One bottleneck is the lack of labeled data. Datasets are often
in size and coverage, since they need experiments on robots or expensive
simulations. Thus an important capability of every robot in complex
is to gather new data.
To do this efficiently, intelligent robots need to be able to identify which
task-relevant information is still missing. Only this ability enables
actively work towards a better understanding of the environment, the agent's
state, and the task at hand, which will eventually lead to better
Active learning is an approach to gain this ability. Within this paradigm
agent chooses the next data point to achieve the best learning result with
few data points as possible. Such strategies can shorten the process of data
gathering significantly and also lead to the important information more
In this workshop, we want to discuss the state of the art of active
robotics, but also address important open questions, such as:
* What representation of knowledge allows efficient reasoning about it?
* What are successful strategies based on these representations?
* How can we generalize or transfer experiences to decrease the need of
* How to explore safely without damaging the robot and its environment?
* How can existing approaches be `scaled up' to real world domains?
We aim for this variety of topics to be represented by participants from the
robotics and machine learning communities.
CALL FOR POSTERS
We invite authors who work on topics related to the workshop to submit
abstracts. All abstracts will be considered for a poster session.
should be send to
active-learning-in-robotics at ipvs.uni-stuttgart.de
before October *14th*, 2014.
Both theoretical findings as well as experimental results are encouraged to
submitted. The abstracts will be reviewed by the organizing committee. The
review process is non-blind. We encourage work-in-progress to be submitted
will take this into account in the review process. Notifications of
will be given by October 21st.
DATE AND LOCATION
November 18th 2014
IEEE-RAS International Conference on Humanoid Robots
Hotel Melia Castilla, Madrid, Spain
WEBSITE AND SCHEDULE
All information regarding the workshop will be published on the website
the workshop schedule will be posted there as well.
The workshop will be funded by the DFG (German Science Foundation) within
priority program "Autonomous Learning" (SPP 1527).
Johannes Kulick, University of Stuttgart
Herke van Hoof, Technische Universität Darmstadt
Marc Toussaint, University of Stuttgart
and Jan Peters, Technische Universität Darmstadt &
Max Planck Institute for Intelligent Systems
More information about the robotics-worldwide