MiTwell, MediaTek, and RGo Robotics Unveil Infrastructure-Free Visual RTLS Platform to Power the Next Generation of Physical AI

Why It Matters

By removing the need for costly fixed infrastructure, the joint solution lowers entry barriers and accelerates the rollout of Physical AI across supply‑chain operations, boosting safety and efficiency.

Key Takeaways

• Infrastructure-free visual RTLS eliminates costly fixed sensors.
• MediaTek Genio 720 provides low-power, high-performance edge AI.
• RGo software delivers real-time situational awareness for fleets.
• MiTwell integrates solution into rugged industrial edge platforms.
• Enables scalable, safe automation across warehouses and factories.

Pulse Analysis

The rise of Physical AI is reshaping how factories and warehouses manage assets, yet traditional real‑time localization solutions rely on extensive networks of beacons, RFID tags, or wired sensors. These installations are capital‑intensive, time‑consuming, and often inflexible when layouts change. An infrastructure‑free visual RTLS sidesteps these constraints by leveraging on‑board cameras and edge compute, allowing each machine to become a self‑aware agent that continuously maps its environment.

At the heart of the new platform is MediaTek’s Genio 720, an edge AI chipset optimized for computer‑vision workloads while maintaining a low power envelope. Coupled with RGo Robotics’ proprietary localization algorithms, the system delivers sub‑meter accuracy and predictive collision avoidance without external references. MiTwell rounds out the offering with hardened industrial enclosures, OSM‑based system design, and scalable manufacturing processes, ensuring the solution can survive harsh factory conditions and be deployed at volume.

For OEMs and logistics operators, the combined solution translates into faster deployment cycles, reduced capital expenditure, and enhanced operational safety. Real‑time tracking of forklifts, autonomous mobile robots, and drones enables dynamic fleet coordination, data‑driven workflow optimization, and a foundation for fully autonomous factories. Showcasing the technology at Embedded World 2026 signals strong industry interest, positioning the trio as key enablers of the next wave of AI‑driven industrial automation.