Edge Controller for Autonomous Multi-Sensor Robotics: The Acceed RQX-59 Platform

[Ahmet Ö.]

## Edge Controller for Autonomous Multi-Sensor Robotics: The Acceed RQX-59 Platform

Acceed has introduced its new RQX-59 platform, which provides ROS 2-based edge AI processing and synchronized sensor fusion for autonomous mobile robots and autonomous driving systems.

The RQX-59 is an embedded artificial intelligence controller that combines high-performance edge computing with synchronized processing of multiple sensors in areas such as robotics and transportation automation. This enables systems to achieve real-time sensing and response capabilities without the latency issues associated with cloud dependence.

### Real-Time Sensing with RQX-59

Environmental sensing and deterministic real-time response are fundamental requirements for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and experimental driving systems. The RQX-59 meets this need by locally processing data from multiple sensors such as cameras, radar, and LiDAR in a synchronized manner without delay.

### RQX-59 Features

• 64-bit ARM Cortex-A78AE processor and 2048 CUDA cores with 64 Tensor cores on the Nvidia Jetson AGX Orin module
• Running advanced AI models such as object detection, depth estimation, and semantic segmentation on the device
• Energy efficiency suitable for battery-powered mobile platforms with approximately 40 W power consumption
• Ability to process multi-camera video streams synchronously at the frame level with GMSL and FPD-Link III support
• 360-degree environmental sensing, high-speed object detection, and accurate SLAM applications
• Industrial communication interfaces supporting dual Gigabit Ethernet, 6 USB 3.0 ports (2 lockable), RS-232, and RS-485 serial protocols
• M.2 slots for NVMe SSD and wireless connectivity options such as WiFi 6, Bluetooth 5.2, 5G
• 32 GB or 64 GB LPDDR5 RAM options and integrated eMMC storage for the operating system
• External enclosure support for PCIe expansion, allowing for additional accelerators and sensor integration
• Industrial design with 9-36 V wide voltage range, reverse polarity protection, and compliance with IEC shock vibration standard
• Ubuntu Linux-based, with Nvidia JetPack, CUDA, TensorRT, Jetson hardware driver, and Neuron SDK support for ROS 2 integration

### Application Areas

The RQX-59 is used in applications requiring synchronized sensor processing and low-latency edge AI, such as industrial automation, logistics robots, and autonomous driving. This platform aims to provide sensing, computing, and communication in a single compact device, addressing one of the key challenges for autonomous systems in the digital supply chain.

Acceed's RQX-59 platform is positioned among the leading edge artificial intelligence solutions in the robotics and automation sector.