At the CES 2026 show, PaXini Tech set up a live demonstration that showcased how tactile Infrastructure and embodied AI are changing the way robots work and react to input. The company placed a robot in the Enterprise AI Zone equipped with its humanoid system. The system impressed everyone by completing a full ice cream workflow with amazing precision.
How PaXini is shaping tactile infrastructure for the next generation of AI robots
In its showcase, PaXini also emphasised the growing demand for advanced robots that can sense touch, execute tasks autonomously, and operate reliably in real environments. The company also presented its broad product matrix focused on high-precision tactile perception and full-stack embodied AI . The main highlight of the show was its full-body six-axis force torque sensing ecosystem. This tech allows the robots to understand physical interaction and react accordingly.
The company’s new tactile sensor family, with the moniker PX 6AX GEN3, is capable of supporting multidimensional perception at the fingertips, measuring force, texture, and elastic response with high repeatability. Apart from this, PaXini also highlighted the force awareness at wrists and joints using lightweight six-dimensional sensors with embedded intelligence. The firm claims that such tech allows for improved dynamic response while keeping system costs practical for deployment.
The firm focuses on embodied AI data and scalable robot applications
Going further, the firm also showcased the humanoid robot TORA ONE. During the presentation , the robot manipulated levers, handled ingredients, and passed a finished cup smoothly to visitors. This level of consistency displays how tactile Infrastructure supports reliable execution and helps AI robots transition from laboratory settings to commercial and industrial use.
Among all these advancements, one thing that remains critical is the data. It is the fuel for embodied AI. PaXini addressed this through an omnimodal data acquisition system that’s built around human configuration. It says that the tech improves efficiency and long-term reuse while also supporting large-scale production volumes.
