by Mat Dirjish
People-sensing tech company Algorized and intelligent automation company KUKA are unveiling what they say is the industry’s first Predictive Safety Engine, powered by real-time edge AI. Promising to redefine human–robot safety and collaboration, the engine integrates Algorized’s foundational model directly into KUKA’s robotic arm. This will reportedly allow machines to perceive human physiology, understand intent, anticipate movement, and adapt in real time.
Enabling this capability is the IWR6843AOP mmWave radar sensor from Texas Instruments. This sensor combines SIL2-certified safety with high-resolution sensing to precisely detect human presence and movement.
The Algorized engine runs entirely at the edge, using wireless sensors to digitize the environment based on physics. It delivers five capabilities that redefine the standard for human-machine interaction:
- Entity Classification: the system knows the difference between a human, a robot, or an asset, directing safety logic precisely where it matters while keeping the rest of the cell productive.
- Micro-Motion & Vital Sign Perception: the robot detects breathing and heart rate. A motionless operator is no longer invisible to the machine.
- Non-Visual Intent Recognition: the robot understands motion trajectories, posture, and approach angles to predict intent, handover, walkthrough, or potential hazards, and adapts robot behavior accordingly.
- Occlusion Immunity: the robot sees through smoke, low light, clutter, and partial blockers.
- Sovereign Edge Processing with zero latency and zero cloud dependency: the intelligence lives on the machine.
Natalya Lopareva, CEO & Co-Founder of Algorized, comments, “We are moving from the age of blind automation to the age of aware machines. We treat safety as an intelligence problem. By giving KUKA robots a foundational model for intuition, we are enabling a workflow where the machine understands operators’ next move before they make it.”
Mat Dirjish Online 