Location for Physical AI
Precision location is the invisible foundation upon which Physical AI is built. In this talk, Tom Weeks, COO of Point One Navigation, explains how high-precision positioning technologies, specifically RTK (Real-Time Kinematic) and a modern positioning engine, enable autonomous systems to operate safely and reliably in the physical world.
Whether autonomous vehicles, robots, or drones, autonomy breaks down without centimeter-accurate positioning. Tom will walk through how Point One Navigation's positioning engine fuses raw data from GNSS, IMU, and other sensors, then applies RTK correction data in real time to achieve centimeter-level accuracy, even in challenging environments such as urban canyons and GNSS-denied areas.
Key topics include:
- Why standard GNSS is insufficient for autonomy and what precision location actually requires
- How RTK corrections work and why a robust positioning engine is critical to bridging the gap between raw satellite signals and actionable location data
- The role of sensor fusion (GNSS + IMU + other modalities) in maintaining accuracy when satellite signals are degraded or unavailable
- Real-world deployment examples of autonomous systems powered by precision location
- The future of Physical AI and the role geospatial technology will play as autonomy scales
Attendees will leave with a clear understanding of the technical requirements for precise positioning in autonomous systems and a framework for evaluating location solutions in their own Physical AI applications.
Session Moderator
Tags
GNSS,Unbemannte Systeme // Unmanned Systems,Robotik und Automation // Robotics and Automation,KI // AI
Language
Englisch // English