A Breakthrough in Intelligent Wireless Mesh Connectivity for Mobile and Autonomous Systems
Meshmerize, a leader in software-defined wireless mesh networking, and 8devices, a premier EU-based manufacturer of compact Wi-Fi modules and a Qualcomm® Authorised Design Centre (ADC), recently announced the launch of the RoboNode-M — a robust, high-performance wireless module purpose-built for integration into mobile robots, drone swarms, and autonomous systems.
Engineered for the demands of real-world industrial environments, the RoboNode-M features a lightweight (178g) aluminium housing with extended temperature support, making it ideal for both indoor and outdoor deployments.
Powered by the Qualcomm® QCS405 SoC, the RoboNode-M combines:
- A long-range 2×4 MU-MIMO radio and a 1×1 auxiliary radio for dual-concurrent Wi-Fi 6 (802.11ax) operation
- Software-selectable 2.4 and 5 GHz bands, plus extended frequency support across 2.3–3.2 GHz and 4.1–6.7 GHz
This exceptional hardware is seamlessly integrated with Meshmerize’s intelligent, field-proven mesh networking software, which is designed specifically for machine-to-machine (M2M) and machine-to-infrastructure (M2I) communication. Meshmerize’s platform powers fully autonomous “dark” warehouses across six continents with hundreds of interconnected nodes achieving 99.99% reliability, and has enabled drone swarms of over 50 units operating kilometres apart.
“The RoboNode-M is a brilliant example of how Wi-Fi continues to push boundaries in automation and robotics,” said Claus Hetting, CEO & Chairman of Wi-Fi NOW. “This compact, dual-radio module proves Wi-Fi is not just a consumer technology—it’s a high-performance platform for drone swarms, autonomous systems, and industrial innovation. It’s truly exciting to see Wi-Fi connectivity enabling new categories of ultra-innovative products.”
Key Benefits of RoboNode-M
- Compact dual-radio Wi-Fi 6 module with extended frequency range
- High-throughput, low-latency performance ideal for mobility and autonomy
- Meshmerize’s Hive Network Manager simplifies large-scale deployment and monitoring
