Rodney Brooks challenged a powerful assumption in artificial intelligence: that a robot must first construct a detailed internal model of its surroundings and then calculate what to do. His alternative began with action. Let a machine sense the world, respond through simple behaviors, and build complexity through the interaction between those behaviors. Intelligence, in this view, was not confined to abstract reasoning. It could emerge from direct engagement with reality.
From Mathematics to Machines
Born in Adelaide in 1954, Brooks studied pure mathematics at Flinders University. Access to the university's mainframe helped redirect his ambitions toward computing, and he later traveled to the United States to study with AI pioneer John McCarthy at Stanford. His 1981 doctoral work addressed model-based computer vision, placing him squarely within the established AI tradition he would eventually question.
After research and teaching appointments at Carnegie Mellon, MIT, and Stanford, Brooks joined MIT's faculty in 1984. He later led both the Artificial Intelligence Laboratory and its successor, the Computer Science and Artificial Intelligence Laboratory. From that influential position, he promoted a bottom-up approach centered on behavior rather than an elaborate representation of the entire world.
Complexity From Simple Behaviors
Brooks and his collaborators demonstrated that relatively simple, insect-like robots could display unexpectedly sophisticated behavior. Instead of relying on one computationally heavy world model, such machines could connect perception more directly to action. Multiple modest behaviors, operating together, allowed a robot to navigate and respond in ways that appeared richer than the individual mechanisms suggested.
The idea extended beyond laboratory demonstrations. Brooks and his students proposed robots for Mars exploration and for clearing unexploded ordnance. The Cog project explored another frontier: whether a humanoid robot could develop capabilities through continuing interaction with people. Across these efforts, building robots became both an engineering practice and a way to investigate human intelligence.
Ideas Tested in the World
Brooks also carried robotics into commercial life. He cofounded iRobot, whose Roomba vacuum became exceptionally widespread, and later founded Heartland Robotics, renamed Rethink Robotics, to develop manufacturing robots. After that company closed in 2018, he became a cofounder and chief technology officer of Robust.AI, founded in 2019.
The broader lesson is editorial rather than universal: sometimes a difficult problem becomes more approachable when designers stop demanding a complete theory before permitting action. Brooks's career shows the creative value of testing ideas in machines that must cope with physical reality. His robots made a philosophical argument concrete: intelligence may reveal itself not only in what a system represents, but also in how effectively it behaves.
Cover: AI-generated editorial illustration; not a documentary photograph.
Source: Rodney Brooks
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