PaXini unveils low-cost tactile sensors and humanoid robots for CES 2026

PaXini is quietly attacking one of the hardest bottlenecks in embodied AI: getting rich, affordable tactile feedback into robots’ hands and bodies. The company is productizing a full stack—sensors, dexterous hands, humanoid platforms and multimodal datasets—which effectively gives AI labs and integrators an off‑the‑shelf embodiment layer instead of forcing them to build custom hardware. If their performance and price claims hold, a $49 high‑fidelity tactile sensor is the kind of component-level shift that lets smaller labs and startups experiment with manipulation‑heavy agents that used to be the preserve of well‑funded robotics groups.([en.prnasia.com](https://en.prnasia.com/releases/apac/paxini-to-debut-at-ces-2026-advancing-embodied-ai-infrastructure-through-tactile-sensing-517350.shtml?utm_source=openai))

For the race to AGI, this matters because most frontier models today are disembodied text‑and‑image systems. Serious AGI contenders will likely need to learn from and act in the physical world, not just the internet. A vendor like PaXini, with roots in Waseda’s Sugano Lab and a product line that spans from tactile sensors to humanoids, lowers the cost and complexity of closing that gap. It enables more organizations to train agents that learn through touch, force and interaction rather than just pixels. That could accelerate progress in areas like general‑purpose manipulation, household robots and industrial co‑bots—domains where scalable data collection has been a slog.([en.prnasia.com](https://en.prnasia.com/releases/apac/paxini-to-debut-at-ces-2026-advancing-embodied-ai-infrastructure-through-tactile-sensing-517350.shtml?utm_source=openai))

We should also note the competitive dynamic: a Chinese‑linked robotics supplier exporting embodied AI infrastructure at CES underscores that the hardware race is global, not just a Silicon Valley game built on GPUs.