Motivation and objectives:

Semantic perception for intelligent systems such as robots has seen a lot of progress recently, with many new and interesting techniques being developed in parallel by different research groups. To cope with a wide variety of tasks, service robots need to plan in spaces exceeding their local perceptual space. For deployment in human living environments, these robots need to aggregate and model perceived semantic information. A further requirement, for autonomous operation in the long-term, is the ability to acquire and update the necessary information, which involves actively exploring the environment.

A number of previous workshops have brought together researchers working on use of semantic information in a variety of domains including mapping for mobile robots, mobile manipulation, and semantic robot vision. The main focus of this workshop is on the autonomous acquisition of semantic information in intelligent robots and systems, as well as the use of semantic knowledge to guide further acquisition of information from the environment. The workshop will provide a common forum where people can exchange ideas and experiences on all aspects of this problem, and identify the common questions and concerns.

Submissions:

We solicit paper submissions, optionally accompanied by a video, both of which will be reviewed (not double-blind) by the program committee. The review criteria will be: technical quality, significance of system demonstration, and topicality. We aim to accept 9 to 12 papers for oral presentation at the meeting. Papers should be up to 6 pages in length, formatted according to the IEEE ICRA style. Videos will be shown during an afternoon session open to the public. Accepted papers and videos will be assembled into proceedings and distributed in CD format at the workshop. If there is sufficient interest, we will pursue publication of a special journal issue to include the best papers.

Topics of interest include, but are not necessary limited to:

* Semantic robot vision and scene interpretation for mobile manipulation
* Segmentation and annotation of natural scenes (e.g. from images or point clouds)
* Exploration strategies for semantic mapping and knowledge acquisition
* Semantic approaches for long-term operation in dynamic environments
* Ontologies and efficient representations for managing semantic information in robotics
* Use of semantic information in mapping (e.g. registration of sensory information) or knowledge acquisition
* For submissions, please visit https://www.easychair.org/conferences/?conf=spme2011

If you encounter any problems with the submission system or want
to submit larger video attachments, contact the organizers:
spme2011 _at_ ais.uni-bonn.de