This article provides an overview of evolutionary robotics techniques applied to online
distributed evolution for robot collectives, namely, embodied evolution. It provides a …

Swarm robotic systems are heavily inspired by observations of social insects. This often
leads to robustness being viewed as an inherent property of them. However, this has been …

Designing the individual robot rules that give rise to desired emergent swarm behaviors is
difficult. The common method of running evolutionary algorithms off‐line to automatically …

Abstract We propose Turing Learning, a novel system identification method for inferring the
behavior of natural or artificial systems. Turing Learning simultaneously optimizes two …

In this paper, we explore the potential of mobile robots with simulation-based internal
models for safety in highly dynamic environments. We propose a robot with a simulation of …

We introduce the Xpuck swarm, a research platform with an aggregate raw processing
power in excess of two teraflops. The swarm uses 16 e-puck robots augmented with custom …

Online evolution of behavioural control on real robots is an open-ended approach to
autonomous learning and adaptation: robots have the potential to automatically learn new …

In this chapter, we introduce anticipatory robotic systems. We show how intelligent robots
can anticipate the future, by outlining two broad approaches; the first shows how robots can …

Swarm robotic systems comprise many individual robots, and exhibit a degree of innate fault
tolerance due to this built-in redundancy. They are robust in the sense that the complete …

ABSTRACT I present criteria or benchmarks of personhood that robotic agents must pass for
them to match us in social intelligence and indicate some current successes and difficulties …