Overview

Robots have long been imagined as mechanical workers, operating alongside us in our daily lives. However, if robots are to leave the confines of highly structured laboratory environments, and succeed at unstructured, everyday tasks, they will require substantial intelligence and dexterity. The problem of designing complete, intelligent robotic systems presents us with the opportunity to develop fully fledged agents that interact with the real world, and the challenge of coping with the complexity and uncertainty that such interaction entails.

However, the field of AI has fragmented into many challenging subfields that require and often reward isolation and specialization. Consequently, there is a lack of mainstream AI venues for publishing integrative research that combines techniques from multiple different fields to achieve a working robot system capable of complex behavior, addresses the technical challenges that such integration efforts present, and investigates the important research questions posed by such complex systems. Such research speaks to the original impulse behind AI, creates an immensely rich source of research questions that address real-world problems, and should be considered a valid endeavor in its own right.

In order to encourage the integration of various research streams from AI, robotics, and other relevant disciplines, this workshop aims to bring together a diverse and multidisciplinary group of researchers interested in designing intelligent robotic systems. The workshop will include a poster session, discussion sessions, and invited talks in addition to the paper sessions.

This workshop builds on last year's successful Designing Intelligent Robots: Reintegrating AI 2012 Spring Symposium, and the follow-up Designing Intelligent Robots: Reintegrating AI II 2013 Spring Symposium.