TOKYO -- Racing is hard. It's hard on the teams, it's hard on the owner's bank account, it's hard on the cars, and it's especially hard on the drivers. Driving at the edge for a few hours in a vehicle cockpit that's only slightly wider than your frame can take a toll.
The A2RL (Abu Dhabi Autonomous Racing League) removes one of those elements from its vehicles but, in doing so, creates a whole new list of complexities. Say goodbye to the human driver and hello to 95 kilograms of computers and a whole suite of sensors. That setup was poised to be part of a demonstration "race" against former F1 driver Daniil Kvyat at Suzuka Circuit in Japan during the Super Formula season finale.
But again, racing is hard, and replacing humans doesn't change that. The people who run and participate in A2RL are aware of this, and while many organizations have made it a sport of overselling AI, A2RL is up-front about the limitations of the current state of the technology. One example of the technology's current shortcomings: The vehicles can't swerve back and forth to warm up the tires.
Giovanni Pau, Team Principal of TII Racing, stated during a press briefing regarding the AI system built for racing, "We don't have human intuition. So basically, that is one of the main challenges to drive this type of car. It's impossible today to do a correct grip estimation. A thing my friend Daniil (Kvyat) can do in a nanosecond."
Technology Innovation Institute (TII) develops the hardware and software stack for all the vehicles. Hardware-wise, the eight teams receive the same technology. When it comes to software, the teams need to build out their own system on TII's software stack to get the vehicles to navigate the tracks.
In April, four teams raced on the track in Abu Dhabi. As we've noted before, how the vehicles navigate the tracks and world around them isn't actually AI. It's programmed responses to an environment; these vehicles are not learning on their own. Frankly, most of what is called "AI" in the real world is also not AI.