Sereact introduces Cortex 1.6 with Process-Reward Operator for real-world robot learning

Date: 2026-02-09 · Type: capability · Company: Sereact

Sereact introduced Cortex 1.6 and its Process-Reward Operator for dense reward learning from real-world robotic deployments.

Sereact introduced Cortex 1.6 and its Process-Reward Operator for dense reward learning from real-world robotic deployments.
The update converts operational signals into progress, completion-likelihood, and risk estimates for reinforcement learning.
Sereact reported 6–9% success-rate improvement over Cortex 1.5, 1.7 times higher recovery rate over baseline, and faster training convergence.