PSYONIC Arms NVIDIA And ABB With Robots Dexterity Data - Forbes

In the rapidly evolving landscape of AI and robotics, PSYONIC is collaborating with NVIDIA and ABB Robotics to tackle the challenge of dexterous manipulation in physical AI. While robots can walk, see... Read original →

PSYONIC’s human-derived dexterity data from the Ability Hand is igniting a cascade across the robotics stack: upstream, it accelerates integration of 3nm tactile sensors with EUV-fabricated MEMS; downstream, it redefines NVIDIA Isaac Lab’s physical AI training. ABB’s GoFa robot serves as the rapid-validation vehicle, positioning the firm at the embodied intelligence gateway in industrial automation. Compliance risks loom large—biomechanical data flows face dual scrutiny under the EU AI Act and U.S. export controls, especially if sourced from Taiwan, China or Hong Kong, China, forcing localized annotation infrastructure. Competitors like Universal Robots may rush to acquire haptics startups, while Tesla’s Optimus team could be pressured to open its proprietary grasp dataset. Within 18 months, control over high-fidelity manipulation data will dictate robotics OS standards—mirroring ImageNet’s 2012 inflection. The entity owning ‘hand data’ holds the key to physical-world AI dominance.