I have been obsessed with robot hands for years. The human hand has 27 bones, three dozen muscles, and 17,000 touch sensors. It can thread a needle, crack an egg, and play flamenco guitar. The hand is the tool that built every other tool. Every other part of the robot problem has been getting solved — robots can see now, they can plan, they can walk, they can even do backflips on TikTok. Look closely at the hands on any viral humanoid robot video and you’ll see mittens. Grippers. Claw machines.
Robot hands have been stuck for fifty years, and the reason is a design philosophy. Engineers are trained to simplify: minimize the actuators, minimize the moving parts, control everything precisely. Every robot hand ever built follows this religion, with 15 to 25 degrees of freedom, modeled loosely on human joints. The hands cost as much as a sports car and still can’t pick a strawberry without juicing it. Robot builders kept assuming dexterity lives in the joints. It doesn’t. Your dexterity comes from a ridiculous, redundant tangle of muscles — most of them in your forearm — coordinated by a nervous system doing real-time control no roboticist would attempt.
Tom Zhang did. He grew up in a cave house in rural China and started building robots as a teenager in Singapore. His company, Daxo Robotics, builds hands the way nature does: throw in way more muscle than you need and let intelligence sort it out.
Daxo’s hand is driven by 108 artificial muscles — about three times as many as your hand — twenty in each finger, contracting and relaxing like biological muscle fibers. None of them is assigned a fixed job. An AI plays the role of the nervous system, discovering muscle combinations on the fly instead of executing pre-programmed motions. The redundancy means it degrades the way you do, not the way machines do: kill 20% of the motors and the hand keeps working, the AI just reroutes around the dead ones, like you favoring a sprained finger. The hand bends in ways your bones won’t allow, holds multiple objects independently, and does in-hand manipulation that no other robot hand can pull off. Tom refuses to even use the human hand as his benchmark — “if we engineer to match a human hand, we’ll always be suboptimal.”
The prototype cost about $1,200 to build, because it uses dirt-cheap $5 motors instead of the precision direct-drive units the rest of the industry worships. The first hand went together in two days. New iterations take hours. Research hands that do less cost six figures. When the hand finally works and costs less than your laptop, every humanoid robot company on Earth becomes a customer.
This is a kingpin for robotics. Stephen Wolfram signed on as an advisor. I signed up to invest. If you’re building robots that need to do real work with real hands, talk to Daxo.