More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements.  

Abstract Understanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption, robustness, and

In this talk Jens Krause will discuss the adaptive value of collective behaviour from different perspectives. One perspective is the potential ability of groups or collectives to make better and

Martina Poletti's talk will focus on active foveal vision. Vision is an active process even at its finest scale in the 1-deg foveola, the visual system is primarily sensitive to

Artificial intelligence and robotics have been making great progress in recent years but how close are we to emulating human intelligence?  This talk will explore the similarities and differences between

Andrew King is a scientist driven by curiosity, exploring questions across species, contexts, and methods. His research group investigates how and why individuals engage in collective behaviour, using a wide

Jennifer Groh (Duke University) Hearing works in concert with vision, such as when we watch someone’s lips move to help us understand what they are saying.  But bridging between these two

There is growing interest in applying AI technologies to the control of intelligent robotic systems. While this research has led to promising developments, it still faces major challenges due to

Swarm robotics investigates how large numbers of relatively simple, autonomous robots can coordinate to complete complex collective tasks. In this lecture, we explore how models of collective behavior can guide