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1X NEO Introduces 25-DOF Tendon-Driven Hands and Pushes Home Humanoid Robotics Forward

1X introduces 25-DOF tendon-driven hands for NEO with tactile sensing, compliant mechanics and hardware designed for household manipulation.

Category: Humanoid robot hands Published: 2026-07-10 Reading time: 7 min read

Why this topic is moving

The new hand shifts attention from humanoid walking demos to the harder domestic robotics problem: manipulating fragile, irregular and human-designed objects safely.

Key facts

  • The new 1X NEO hand provides 25 degrees of freedom through a tendon-driven mechanical design.
  • The hand combines tactile sensing, compliant mechanics, slip detection and force control for household manipulation.
  • 1X designed NEO for residential environments where quiet motion and safe physical contact matter.
  • The hand is presented as hardware for collecting manipulation data and training physical AI models.
  • Demonstrated tasks should not be treated as unrestricted commercial autonomy unless 1X confirms that level of operation.

The hand is becoming the main humanoid bottleneck

The race to build practical humanoid robots is increasingly centered on one difficult component: the hand. Walking allows a robot to reach a task. Dexterous manipulation determines whether it can complete that task without dropping an object, damaging furniture or creating a safety risk near people.

1X has introduced a new 25-degree-of-freedom tendon-driven hand for its NEO humanoid robot. The hardware targets household manipulation where objects differ in shape, weight, texture and fragility. The design combines compliant mechanics, tactile feedback and fast finger movement for environments built around human hands.

Why humanoid robot hands matter

Most objects inside a home were designed around the dimensions and movement of a human hand. Door handles, glasses, dishes, clothing, electrical plugs and cleaning tools all assume flexible fingers and continuous force adjustment.

A basic parallel gripper can move boxes or repeat a fixed factory task. It struggles when an object changes position, deforms under pressure or requires several contact points at once.

Household work creates constant variation. A robot may need to hold a plate firmly, touch a glass gently and reposition a piece of clothing without a predefined grasp. That makes hand design one of the main hardware limits for domestic humanoid robots.

A 25-degree-of-freedom tendon-driven design

The new NEO hand provides 25 degrees of freedom. This gives the fingers and wrist enough independent motion to perform more complex grasps than a conventional robotic gripper.

The design uses tendons to transmit force through the hand. Heavier actuators can remain away from the fingertips while the fingers stay lighter and more responsive.

Lower moving mass can improve finger speed and reduce the energy carried into an accidental collision. Tendon compliance can also absorb part of an impact instead of transferring the full force through a rigid mechanism.

This architecture introduces its own engineering challenges. Tendons can stretch, wear or lose tension over time. Accurate control depends on calibration, sensing and reliable mechanical routing across repeated movements.

Tactile sensing changes how the robot controls contact

Finger position alone does not tell a robot whether an object is secure. The hand also needs information about pressure, contact location and movement between the object and the fingers.

Tactile sensing can help the controller detect when a grasp is too weak, when an object begins to slip or when additional force could damage it.

This feedback is especially important for transparent, reflective or deformable objects that remain difficult for vision systems. A camera may identify a cup while tactile sensors reveal whether the fingers are actually holding it.

The useful measure will be how consistently the system combines vision, touch and force control during long sequences of household manipulation.

Built around compliance and human safety

Industrial robots often rely on rigid structures, physical separation and fixed workspaces. A home robot cannot assume that people will remain outside a safety fence.

NEO uses compliant mechanics to reduce the force created during unexpected contact. This does not remove the need for perception, motion limits and emergency stopping. It gives the hardware another layer of protection when software reacts too slowly or an object moves unexpectedly.

Quiet operation also matters inside a home. A robot that works near people for several hours cannot produce the noise, speed or abrupt movement accepted inside some industrial environments.

The hand therefore has to balance force, speed, durability and safe contact rather than maximize grip strength alone.

The hand as an interface for Physical AI

1X describes the hand as an API to the physical world. Better manipulation hardware allows an AI system to interact with more objects and collect richer training data.

Each grasp can produce synchronized information from cameras, joint positions, tactile sensors, force estimates and robot actions. Successful attempts show the model which actions worked. Failures show where the grasp, trajectory or force selection broke down.

This data can support end-to-end vision-action models that learn from repeated physical interaction rather than relying only on manually programmed motion.

The hardware does not remove the software problem. A dexterous hand still needs perception, task planning, collision avoidance, recovery behavior and enough training data to generalize beyond the demonstrations used during development.

Designed for household manipulation

1X positions NEO as a humanoid platform for residential environments. The target tasks include organizing objects, carrying groceries, cleaning, folding laundry and loading household appliances.

These tasks should be described as intended capabilities or demonstrated research tasks unless 1X has confirmed a specific commercial autonomy level.

A short edited video does not reveal intervention rate, task success rate, reset frequency or the number of attempts required. A clip should not be treated as proof that NEO can already perform unrestricted household work without supervision.

Earlier research involving NEO and NVIDIA robotics models showed the platform performing household manipulation tasks such as dishwasher loading. Coverage should remain precise about whether a specific demonstration was autonomous, teleoperated, scripted or assisted.

How close is the design to a human hand?

A human hand is commonly described as having roughly 27 degrees of freedom depending on how the wrist and smaller joint movements are counted.

NEO's 25-degree-of-freedom design approaches that mechanical range. Matching the number of joints does not automatically reproduce human dexterity.

Human manipulation also depends on dense biological sensing, soft tissue, adaptive grip strategies and years of learned coordination. A robotic hand must reproduce part of that performance through motors, tendons, sensors and control software.

The important comparison is task performance. The hand should be evaluated through grasp success, slip recovery, positional accuracy, object damage, durability and performance across unfamiliar objects.

What needs to be proven next

The next useful demonstrations should show long uncut manipulation sequences with failed grasps and recovery behavior left visible.

Relevant measurements include successful cycles, maintenance requirements, tendon replacement intervals, tactile sensor reliability and performance after extended household use.

The autonomy boundary also needs to remain clear. Viewers should know when a task is controlled by a learned policy, teleoperated by a person, executed through a scripted sequence or completed with human assistance.

If the hand maintains its precision and compliance over millions of cycles, it could remove an important hardware limitation for NEO. The remaining challenge would move toward data quality, model reliability and safe decision-making in homes that never remain perfectly organized.

What the new hand means for 1X NEO

The new 25-degree-of-freedom hand is one of the most important hardware updates to the 1X NEO platform. Its tendon-driven design targets low finger mass, compliant contact and detailed manipulation. Tactile sensing gives the controller information that cameras and joint encoders cannot provide alone.

The hardware is promising because it addresses the objects and contact conditions found inside real homes. Its broader significance will depend on durability, repeatability and the level of autonomous control demonstrated outside carefully selected videos.

For home humanoid robotics, walking gets the robot to the object. The hand decides whether the robot can do anything useful once it arrives.

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