Abstract

In this paper, we consider the influence of Gibson's affordance theory on the design of robotic agents. Affordance theory (and the ecological approach to agent design in general) has in many cases contributed to the development of successful robotic systems; we provide a brief survey of AI research in this area. However, there remain significant issues that complicate discussions on this topic, particularly in the exchange of ideas between researchers in artificial intelligence and ecological psychology. We identify some of these issues, specifically the lack of a generally accepted definition of "affordance" and fundamental differences in the current approaches taken in AI and ecological psychology. While we consider reconciliation between these fields to be possible and mutually beneficial, it will require some flexibility on the issue of direct perception.