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"multispectral sensor"
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#13457704
16 Mar 2026
A high-fidelity scale model of a next-generation Low Earth Orbit (LEO) multi-mission satellite is displayed at the Space Communications zone during the Mobile World Congress in Barcelona, Spain, on March 5, 2026. This unit represents advancements in 5G-Advanced Non-Terrestrial Networks (5G-NTN), designed to provide seamless direct-to-cell connectivity and high-speed backhaul for remote areas. The platform is powered by a radiation-hardened dual-core LEON4 on-board processor combined with a specialized FPGA-based Neural Processing Unit for edge AI data filtering. The satellite features a modular payload including a high-resolution multispectral optical sensor with a 30-centimeter ground sampling distance, supported by a 50-megapixel CMOS imaging system for earth observation. Its communication suite utilizes a Software Defined Radio architecture capable of handling Ka-band and Q/V-band frequencies, integrated with optical laser links for ultra-secure inter-satellite data relay. The demonstration highlights the convergence of terrestrial and space-based infrastructure, enabling global IoT coverage and emergency telecommunications via standard smartphone devices.
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#13457737
16 Mar 2026
The complete lineup of RH Bots next-generation robotic platforms is showcased at the company's interactive pavilion during the Mobile World Congress in Barcelona, Spain, on March 5, 2026. The display features the RH-20FRH high-speed SCARA industrial arm, powered by the CR800-D dedicated robot controller with an NVIDIA Jetson AGX Orin 64GB module for AI vision processing. Flanking the industrial unit are the company's newest prototypes: a bipedal humanoid service robot and a high-agility quadruped platform, both utilizing proprietary high-torque actuators and integrated with the RH-OS (Robotic Harmony Operating System). Each unit is equipped with a multispectral sensor array, led by a 12-megapixel wide-angle RGB camera and a Solid-State 3D LiDAR for real-time spatial awareness. The exhibition demonstrates the integration of 5G-Advanced for low-latency teleoperation and the use of Federated Learning to synchronize task execution across the entire robotic fleet, highlighting applications from precision manufacturing to autonomous service delivery.
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