Robotics Pioneer Rodney Brooks Highlights Repeated Failures in Self-Driving Predictions
Rodney Brooks draws on his 44 years of mobile robotics experience to explain why the autonomous vehicle industry consistently misses its deployment targets. He argues that overly optimistic executive predictions harm public trust and misrepresent the true difficulty of the technology.
Robotics pioneer Rodney Brooks reflects on his early experience with self-driving technology, recalling his time as a graduate assistant at the Stanford AI Lab in 1979. Back then, the autonomous Cart takes nine visual images and requires fifteen minutes of processing just to drive a single meter blindly. Brooks contrasts this sluggish beginning with his later successes at MIT and iRobot, noting that his current warehouse robots navigate safely at meters per second using only onboard cameras.
Despite the massive leaps in hardware and processing power, Brooks remains highly skeptical of the bold promises made by the modern autonomous vehicle industry. He points out that he voices his concerns about unexpected consequences and difficult edge cases as early as 2017. Since then, he tracks public predictions made by various industry executives who confidently claim that fully driverless cars are just a few years away.
Reviewing these historical forecasts, Brooks shows that every single executive prediction from 2017 about the arrival of driverless cars is wrong. He believes this unsupported hubris does a major disservice to the public and the tech industry. These failed promises reinforce a false narrative about how easily artificial intelligence solves complex, unpredictable real-world driving environments.