Result
- <200ms finger closure speed
- 12 Arm-based processors per hand
- Touch-sensitive grasping of delicate objects
Market / use case
Building touch into physical AI
Creating a prosthetic hand that feels natural requires far more than just mechanical movement. Every interaction depends on a real-time loop of sensing, computation, actuation, and feedback, allowing the system to continuously interpret intent, adjust grip force, and respond to changing conditions. For PSYONIC, the challenge was balancing speed, durability, size, power efficiency, and tactile feedback in a wearable device that could operate throughout a workday while providing the dexterity and trust needed for users to treat it as an extension of their body rather than a simple tool.
To meet those requirements, PSYONIC built the Ability Hand around a distributed Arm-based architecture. Multiple Arm-powered microcontrollers coordinate sensing, motor control, tactile feedback, and wireless communication throughout the system. Rather than relying on a single centralized processor, intelligence is distributed across the hand, enabling individual components to react in milliseconds while maintaining the modularity needed for future development and servicing.
The approach allows the hand to react to input in under 200 milliseconds, faster than the average human blink. Arm’s performance efficiency enables real-time processing within the strict power and thermal constraints of a wearable device, while a common architecture and software ecosystem simplify development as PSYONIC expands into increasingly sophisticated AI-enabled systems. The same Arm foundation that powers today’s prosthetic platform can scale to future applications requiring richer sensing, edge AI processing, and robotic autonomy.
Scaling from human capability to robotic intelligence
For prosthetic users, the impact is measured through more natural interaction with the world. Touch feedback and responsive control provide greater confidence when grasping objects, performing everyday tasks, and interacting with others. Over time, the Ability Hand becomes an intuitive extension of the user. That same capability extends beyond prosthetics, with more than 90 robotics organizations using PSYONIC technology to advance robotic manipulation and embodied AI systems.
Because the same hand can be used by both humans and robots, real-world interaction data from prosthetic use can help inform robotic learning, creating a feedback loop where advances in one domain accelerate progress in the other. As Physical AI systems evolve toward richer sensing, more autonomous behavior, and increasingly complex manipulation tasks, Arm provides the scalable compute foundation that enables distributed intelligence from sensing to actuation, helping bridge human capability and robotic systems.
Key takeaways
-
PSYONIC uses Arm-powered distributed compute to deliver real-time touch, dexterity, and control
-
The Ability Hand combines 12 Arm-based microcontrollers to coordinate sensing, actuation, and feedback.
-
More than 300 prosthetic users and 90 robotics organizations use PSYONIC technology today
-
Arm provides the scalable compute foundation that enabled intelligence at the point of interaction, from prosthetics to future robotic systems.
