Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Home robots can already walk. The hard part is stopping them from crushing your glassware

1X’s NEO uses tactile sensing and force control to handle fragile objects, aiming at the kind of household work humanoids still struggle to do.

Add as a preferred source on Google
Baby, Person, Electronics
1X Technologies

A robot can look convincing while walking across a stage and still be useless in a kitchen. Picking up a wet glass demands precision, quick corrections, and enough restraint to avoid squeezing too hard. 1X is tackling that problem with new tendon-driven hands for NEO, its humanoid home robot.

1X says each hand has 25 degrees of freedom, with 22 across the fingers and palm and another three in the wrist. Its joints can yield when pushed instead of staying rigid, giving NEO a better chance of handling household objects without treating every collision like a wrestling match.

Why delicate chores expose bad hands

NEO’s tactile skin measures pressure and sideways movement across its fingers. That allows the hand to detect when an object begins slipping and adjust its grip before it drops.

Force control matters just as much as finger movement. Household objects come in awkward shapes and unpredictable weights, while factory grippers usually work with carefully positioned items. NEO’s tendon system is designed to adapt without approaching every task like it’s moving the same cardboard box all day.

Recommended Videos

That control could determine whether a humanoid can handle dishes or clothing without someone hovering nearby.

Why flexibility beats brute force

NEO’s fingers can bend beyond typical human ranges and wrap around irregular objects. Its backdrivable joints also give way during unexpected contact instead of forcing their way through it.

1X rates the hands IP68 and says they use food-safe materials. Those are practical details for a machine expected to work near sinks, spilled drinks, and dinner plates. Fast finger movement makes a better demo, but water resistance and controlled force will matter more in an actual home.

The hardware looks ready for domestic work. The software still has to prove it can use those hands consistently.

What the demos still can’t prove

Capable hands don’t guarantee capable chores. NEO still needs to identify an object, choose the right grip, and repeat the task in a cluttered room without careful preparation.

A successful pickup shows what the hardware can do under controlled conditions. Useful home automation requires the robot to repeat that success when objects are moved, wet, or partly hidden.

The next worthwhile demonstration should skip the finger drumming. NEO needs to finish an ordinary household chore autonomously, from start to finish, before one polished clip becomes proof of a finished product.

Paulo Vargas
Paulo Vargas is an English major turned reporter turned technical writer, with a career that has always circled back to…
This tiny gadget called Moodi could save your thumb during long reading sessions
This tiny remote thinks your finger deserves a vacation
DuRoBo Moodi

Digital reading has become more comfortable thanks to larger displays and e-paper screens, but one small annoyance remains: constantly reaching over to tap or swipe every page. DuRoBo believes it has a solution. The company has unveiled Moodi, its first Bluetooth page-turning remote, designed to make reading, browsing, and media control more comfortable across e-readers, tablets, and smartphones.

Unlike conventional page-turners that focus solely on e-books, Moodi doubles as a compact Bluetooth remote for scrolling through articles, controlling multimedia playback, and navigating long-form content. The device looks towards ergonomic accessories that aim to reduce repetitive hand movements during extended screen time.

Read more
Camera sensor breakthrough promises sharper images without hulking up your phone’s thickness
Camera sensors just got thinner. Your excuses for blurry photos didn't.
Representative Image

Researchers at Nagoya University have developed a new type of transparent optical sensor that could significantly reduce the size of camera sensors while improving image quality. Published in the journal ACS Nano, the study demonstrates how gallium-doped zinc oxide (GZO) nanosheets can detect red, green, and blue (RGB) light within a single pixel, potentially replacing the decades-old Bayer filter design used in nearly every digital camera today.

If commercialized, the technology could enable thinner smartphone cameras, higher-resolution medical imaging devices, and more compact sensors for automotive and aerospace applications, all while simplifying manufacturing.

Read more
This new chip stacking technique could be the key to unlocking faster AI performance
Researchers solved the fragile chip stacking problem holding AI memory back, and the results are significant.
ai-chip-image

Every time you use ChatGPT or generate an image with AI, there is a memory chip working at extreme speed behind the scenes. However, that chip has a memory bottleneck problem, and a Korean research team may have just solved it.

Researchers at POSTECH (Pohang University of Science and Technology) developed a new way to stack more than 10 ultrathin semiconductor chips on top of each other, achieving a memory density roughly four times higher than the best commercial chips available today (via TechXplore).

Read more