Don’t hold your breath for domestic robots like Tesla’s Optimus, Unitree G1 or Figure 02.
The walking, talking, dancing Optimus robots at the recent Tesla demonstration generated huge excitement. But this turned to disappointment as it became apparent that much of what was happening was actually being controlled remotely by humans.
Similarly we’ve seen carefully choreographed videos of pre-scripted action sequences like Boston Dynamics’ Atlas gymnastics, the English-made Ameca robot “waking up”, and most recently Tesla’s Optimus in the factory. Obviously these are still impressive in different ways, but they’re nowhere near the complete sentient package. Let Optimus or Atlas loose in a random home and you’d see something very different.
There are so many door handles with different shapes, weights and materials, not to mention the complexity of dealing with unforeseen circumstances such as a locked door or objects blocking the way. Developers have actually now created a door-opening robot, but robots that can deal with hundreds of everyday tasks are still some way off.
Clearly, this is very useful technology. Telemetric systems are used to control robots working in dangerous environments, disability healthcare and even in outer space. But the reason why a human is still at the helm is because even the most advanced humanoid robots, such as Atlas, are not yet reliable enough to operate completely independently in the real world.
To explore what is currently possible, we recently completed a research project called Common Sense Enhanced Language and Vision . We equipped a robot called Euclid with commonsense knowledge as part of a generative AI vision and language system to assist people in preparing recipes. To do this, we had to create commonsense knowledge databases using real-world problem-solving examples enacted by students.
This isn’t to say that significant progress isn’t being made toward autonomous humanoid robots. There’s impressive work going on into robotic nervous systems to give robots more senses for learning, for instance. It’s just not usually given the same amount of press attention as the big unveilings.
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