Helen Qiao (Fed)

Dr. Helen Guixiu Qiao is a Mechanical Engineer and Associate Project Leader for the Physical AI and Data Generation for Robotics project at the National Institute of Standards and Technology (NIST), with over 10 years of experience in the U.S. high-precision manufacturing industry. Dr. Qiao’s expertise spans advanced sensing, automation, robot calibration, and deep learning, with a focus on developing scalable AI methods for industrial robotics and smart manufacturing. At NIST, Dr. Qiao has led initiatives including AI-enabled robotic drilling work cells using adaptive policy learning, industrial dataset development for robot learning in collaboration with the Advanced Manufacturing Research Center (UK), and the creation of AI-based real-time robot monitoring tools for performance assessment and anomaly detection. Dr. Qiao serves as Vice Chair for the development of a new ASME standard on robotic accuracy and rigidity (https://www.nist.gov/news-events/events/2025/03/workshop-standards-robo…), addressing limitations in the existing ISO standard (1998). Prior to NIST, Dr. Qiao led advanced metrology and automation technologies at Automated Precision Inc., where she developed 3D volumetric error compensation systems for CNC machines and industrial robots, enabling 3–4 times accuracy improvements and earning the 2011 R&D 100 Award and 2009 Defense Manufacturing Excellence Award, with successful deployment across more than 50 industrial systems.

Patents:

• Patent at NIST (2021): U.S. provisional patent application serial number 62/672,270 titled “Dynamic High Accuracy 6-D Measurement System with a Vision Agnostic Non-Blocking Smart Target.” The provisional patent is intended to protect a novel smart target designed to integrate with a vision system to acquire six-dimensional (6-D) information (x, y, z, pitch, yaw, and roll) of a moving object with high accuracy. The active smart target is motorized to continuously rotate toward the vision system to maximize its line of sight and, therefore, its measurement capability. This invention offers unique advantages in supporting a vision system’s ability to capture precise 6-D information of an object that requires precision localization in a variety of applications, including registering multiple machines/tools/objects, adaptively locating objects during mobile applications, or precisely tracking the pose of an object, including objects used within robot or machine operations.
• Active Target (2014): 20100176270 “Volumetric error compensation system with laser tracker and active target”. Initial designer of an automatic tracking instrument which is mounted on a machine spindle, including mechanical design/prototype of two rotary axes and optics & EE tracking sensors.