albatron.ai Introduces TALO-F1200GU Time-Synchronized INS for AMRs, Drones, and Robotics
January 19, 2026
News
albatron.ai introduced its TALO-F1200GU, a compact, time-synchronized inertial navigation system (INS) built on the Xilinx Zynq UltraScale+ MPSoC and engineered to deliver efficient consistency to time-delicate data for autonomous mobile robots (AMRs), drones, and robotic applications. The TALO-F1200GU is the first product in albatron.ai’s NeuronEdge solution portfolio.
“Robotics performance is increasingly defined by data quality and timing integrity,” said Thomas Su, VP at albatron.ai. “As we expand our focus on the AMR, drone and robotics industry, the TALO-F1200GU is our first new product release—built to help developers reduce time spent on synchronization and calibration so they can focus on autonomy that performs reliably in real-world environments.”
Highlights:
Hardware-level, nanosecond time management
- Supports timestamps amongst sensors at the source while enhancing cross-sensor consistency for reliable sensor fusion and improved datasets
Integrated GNSS and IMU for precise navigation
- Centimeter-level positioning and sub-degree position estimation
Edge computing based on Xilinx MPSoC
- Real-time processing reduces load on the main controller and enables on-device validation
Benefits:
- Reduce integration and calibration effort
- Improve motion quality and stability
- Shorten time-to-market
NeuronEdge
According to the press release, NeuronEdge is a unified hardware architecture offereing edge-level synchronization and ultra-low latency for robotic applications. It is modeled after the human nervous system and connects perception, computation, and actuation through time-aligned, deterministic transmissions.
Built around five core products (AI Controller, Inertial Sensor Module, gPTP and PTP Switch Module, Inertial Navigation System and Sensor Bridge Module) that effortlessly collaborate to allow synchronized perception, reliable data transmission, precise motion control, and AI-driven intelligence for next-generation robots.
For more information, visit albatron.ai.
Chad Cox. Production Editor, Embedded Computing Design, has responsibilities that include handling the news cycle, newsletters, social media, and advertising. Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature.
