Taxonomic Search: Benjamin Kuipers
The physical environment of a cyber-physical system is unboundedly complex, changing continuously in time and space. An embodied cyber- physical system, embedded in the physical world, receives a high bandwidth stream of sensory information, and sends continuous control signals. Traditional embedded systems restrict the environment or the attributes considered relevant, and depend on human supervision.
The hypothesis of this research is that a successful cyber-physical system will need to be a learning agent, learning the properties of its sensors, effectors, and environment from its own experience, and adapting over time. Inspired by human developmental learning, we believe that foundational concepts such as Space, Object, Action, etc., are essential for such a learning agent to abstract and control the complexity of its world. To bridge the gap between continuous interaction with the physical environment, and discrete symbolic descriptions th