In this talk, we discuss a number of principles to consider when designing neurorobots and experiments using robots to test brain theories. These principles are strongly inspired by Pfeifer and Bongard’s design principles for intelligent agents. We will build upon these design principles by grounding them in neurobiology and by adding principles based on neuroscience research. We highlight the importance in neurorobotics for designing systems that are reactive, adaptive, predictive, able to manage behavioral tradeoffs, and capable of learning from experience. We highlight near-term and long-term needs toward creating neurorobotic systems capable of Artificial General Intelligence.

This talk was given at the TransAir virtual workshop on Cognitive Architectures for Robot Agents. March 2021.