Within the realm of new robotics, researchers have placed a great amount effort into learning, understanding, and representing knowledge for task execution by robots [...]

Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence robotics, particularly the interdisciplinary areas of robotics.

By morphogenetic robotics, we mean a class of methodologies for designing self-organizing, self-reconfigurable and self-adaptive robots inspired by biological morphogenesis. We categorize these methodologies into three areas, namely, morphogenetic swarm robotic systems, morphogenetic modular robots and morphogenetic co-design of body and brain for robots. We also discuss the relationship betwee...

This paper summarizes the paper and poster contributions to the Third International Workshop on Epigenetic Robotics. The focus of this workshop is on the cross-disciplinary interaction of developmental psychology and robotics. Namely, the general goal in this area is to create robotic models of the psychological development of various behaviors. The term “epigenetic” is used in much the same se...

We investigated the integration of both physical robotics and social robotics into formal middle school STEM curricula, and their effects on the interest and experiences of students in STEM-related activities. Both physical robotics and social robotics require the same STEM principles, but apply them to different problems and applications—the content is the same, but the context is different. O...

We present a formal framework for treating both incomplete information in the initial database and possible failures during an agent’s execution of a course of actions. These two aspects of uncertainty are formalized by two different notions of probability. We introduce also a concept of expected probability, which is obtained by combining the two previous notions. Expected probability accounts...

Validation of robotics theory on real-world hardware platforms is important to prove the practical feasibility of algorithms. This paper discusses some of the lessons learned while adapting the EvoBot, a low-cost robotics platform that we designed and prototyped, for research in diverse areas in robotics. The EvoBot platform was designed to be a lowcost, open source, general purpose robotics pl...