IROS 2011 Workshop: Knowledge Representation for Autonomous Robots

Over the past years, computers have made significant progress in mining knowledge from the web, aggregating information from different sources and using this knowledge to answer complex queries. Watson's recent victory over human jeopardy players impressively shows that very complex tasks in terms of knowledge acquisition, question answering, and natural language understanding can be solved nowadays.

So far, this technology has not been applied much in the robotics domain. We do, however, see a strong trend towards using semantic information, for instance in form of semantic maps, and believe that semantics will become more and more important. Robots will soon have to perform household tasks like cleaning up, setting a table or cooking simple meals. These tasks are extremely knowledge-intensive: To competently perform them, a robot needs a large amount of knowledge about properties of objects, actions required for a task, or execution problems that can arise.

In this workshop, we invite researchers from both robotics and knowledge representation to discuss the state of the art in robot knowledge processing, examine how formally represented knowledge can help robots in performing their tasks, and identify major research challenges that need to be addressed.

Program and Venue

The workshop takes place on Sunday, September 25, 2011, at the IROS conference site at the Hilton San Francisco Union Square, Continental Ball and Parlor room #7. More information can be found on the IROS conference website.

The workshop program and proceedings can be found here.

Intended audience

The primary audience are researchers working on knowledge-based systems in a robotics context. In addition, we want to bring together researchers in perception, manipulation, planning, and human-robot interaction who would like to include more semantic information into their systems.

List of Topics

Submissions

We invite papers of 4-6 pages in the standard IROS format. Submissions should describe clearly the problems to which knowledge processing techniques are applied, explain the methods that are being used, and give an outlook on challenges that need to be solved in the future.

Besides technical quality, the submissions will be judged by their novelty, their potential to generate discussion, and their ability to foster collaboration within the community.

Questions and submissions should be sent to Moritz Tenorth, tenorth-at-cs.tum.edu

Important Dates

Organizing Committee