At IO-AI Tech, a startup about 45 minutes north of downtown Shenzhen, China, I glimpsed a wacky new frontier of blue-collar work. Workers wearing the company’s VR headsets, handheld controllers, and motion-tracking gear remotely control humanoid robots for workplaces like factory floors and convenience stores. The company wants the robots to do useful work, like stocking shelves and picking items out of bins, but it also wants to gather training data that could one day let the bots operate autonomously.
To show off the tech, the company invited me to its offices, where I was allowed to control 10 humanoid robotic hands, each from a different company, using a custom motion-tracking glove. The device instantly transferred my finger movements to all 50 robotic digits.
I’m a little embarrassed to say that the first thing I tried with this futuristic gear was getting all 10 hands to flip the bird. After getting this out of my system, I was impressed by how quickly my movements transferred to the robot hands, and how easily the tech went both ways—I was able to feel a ball placed in one of the electronic hands.
Courtesy of Will Knight
The company also let me try a system that’s being tested by a Chinese convenience store chain. Using a VR headset and a pair of grippers, I tried picking up boxes of medication from a shelf. It was disorienting at first: I had to adjust to a slight difference between my movements and those of the robot I could see through the headset. After a little practice, however, I was stacking shelves like a robot-boss.
Elsewhere, I watched people wearing virtual reality headsets and body-tracking sensors reminiscent of Ready Player One. In one large room, I saw workers using a range of different systems to control diminutive Unitree humanoids. One person marched around with a Unitree robot next to them, and the machine mirrored their movements within a mocked-up apartment. The human operator, wearing a headset and viewing the scene through the robot’s eye-level cameras, went through the motions needed to remove a shirt from a hanger and fold it.
IO-AI develops technology that transfers a person’s movements to different robot forms—a useful offering because there are dozens of different humanoids and robot hands on the market in China today. The startup’s algorithms also need to combine human control with some level of autonomy because a person and a robot aren’t always going to be the same shape, size, and weight. Without some ability to move independently, the robot may lose its balance.
Courtesy of Will Knight
Courtesy of Will Knight
Shenzhen, which is home to thousands of manufacturers, is an ideal base for the company. Si Chin, one of IO-AI Tech’s cofounders, tells me that the location makes it easy to develop and refine new prototypes. She also notes that IO-AI Tech is working with a number of local manufacturers keen to automate tasks. One Chinese company, Jack Sewing Machines, makes clothes manufacturing equipment and is working with the startup to train two-armed robots to perform tasks like ironing shirts. These robots could fit onto an existing production line and automate work currently done by hand, an executive from the company told me.
Some roboticists believe that giving AI algorithms vast amounts of tele-operation data will eventually unlock extremely capable and general models. Chin says that might be so, but she also believes it makes sense to take an incremental approach to deploying AI-powered automation.
“It is similar to self-driving cars,” she says, referencing the way that these machines have been deployed in more and more settings with increasing autonomy. “You need this training data that’s more focused on the specific thing you’re trying to address.” She says that robot teleoperation is even gaining traction in some Chinese vocational schools.
China’s manufacturing prowess already produces cheap, high-quality robots like Unitree’s. If IO-AI Tech is any indication, it might also help AI master the physical world.
This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.
