Algorized and KUKA demonstrate predictive robot safety at CES 2026
The CES system combined Algorized edge AI, a KUKA arm and Texas Instruments mmWave sensing to adapt robot motion around people.
Evidence notes
- Algorized ran its people-sensing model directly on the robot rather than relying on cloud processing.
- The system classified people, detected micro-motion and vital signs, inferred movement intent and adjusted the KUKA arm's speed in real time.
- Texas Instruments' IWR6843AOP mmWave radar supplied SIL2-certified sensing through darkness, clutter and partial occlusion.
Company context
Develops wireless sensing and perception systems using radio signals to detect and track people and objects in physical environments. Its technology enables robots and autonomous systems to perceive surroundings without relying solely on cameras or lidar.