IROS Workshop: Robotics Challenges for Machine Learning II

IROS Workshop: Robotics Challenges for Machine Learning II
http://www.learning-robots.de/TC/IROS2008

Objectives and Topics
There is an increasing interest in machine learning and statistics within the robotics community. At the same time, there has been a growth in the learning community in using robots as motivating applications for new algorithms and formalisms. Rapid progress requires researchers from both disciplines to come together and agree on the challenges, problem formulations, and solution techniques. Specific themes of the workshop include:

• learning models of robots, tasks or environments
  
• learning plans and control policies by imitation and reinforcement learning
  
• representations which facilitate learning, such as low-dimensional embeddings of movements
  
• learning representations and task abstractions by unsupervised learning
  
• probabilistic inference of task parameters from multi-modal sensory information
  
• integration of learning into control architectures.
  

This workshop will also serve to kick-off the new IEEE Technical Committee (TC) on Robot Learning.

This workshop is directly related to what we are doing now. Check out the related papers.  -Bob