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ROScube-I

Embedded Real-Time Robotic Controller
  • Hersteller Adlink Technology Inc.
  • Kategorie: ROS Robots AV
  • The ADLINK ROScube-I is a high-performance, x86-64 architecture-based embedded robotic controller designed for real-time robotic applications. It integrates both hard and soft real-time mechanisms and supports Intel® Xeon® and Core™ processors. The system is optimized for ROS/ROS 2 environments and AI computation using Intel® VPU and NVIDIA GPU accelerators.
- x86-64 Mainstream Architecture: Built on Intel® Xeon® and Core™ processors, providing a familiar and powerful platform for ROS 2 development.
- Real-Time Operation: Integrated hard and soft real-time mechanisms ensure deterministic control and precise timing for robotics applications.
- Comprehensive I/O Connectivity: Multiple Ethernet, USB, serial, and digital I/O interfaces support a wide range of sensors, actuators, and peripheral devices.
- Ruggedized Design: Lockable USB connectors, industrial-grade components, and wide temperature tolerance (-20°C to 70°C) ensure reliability in harsh environments.
- External PCIe Gen3 Expansion: Ruggedized cassette design allows for additional GPU, VPU, or functional modules to enhance computational performance.
- AI Acceleration Support: Compatible with Intel® VPUs and NVIDIA® GPUs for AI inference and machine vision workloads.
- Flexible Expansion Options: Extension box available for additional performance and functionality.
- Software Ecosystem: Fully compatible with ADLINK Neuron SDK, Ubuntu 18.04 LTS, ROS/ROS 2, and Intel® OpenVINO™ toolkit.
- Industrial-Grade Reliability: Complies with CE, FCC, UL, and CB safety standards, and meets IEC and MIL-STD vibration and shock requirements.
- Ideal for Robotics Applications: Designed for AMR, AMIR, and other industrial service robotics requiring real-time control and AI integration.

Ursprungsland: Taiwan R.O.C.

1. Product Overview

Product Name: ROScube-I
Model / Series: ROScube-I Series – Embedded Real-Time Robotic Controller
Article Number: ROScube-I
Manufacturer: ADLINK Technology, Inc.
Product Type: Embedded Real-Time Robotic Controller for ROS 2 Development
Product Description: The ADLINK ROScube-I is a high-performance, x86-64 architecture-based embedded robotic controller designed for real-time robotic applications. It integrates both hard and soft real-time mechanisms and supports Intel® Xeon® and Core™ processors. The system is optimized for ROS/ROS 2 environments and AI computation using Intel® VPU and NVIDIA GPU accelerators. With ruggedized connectivity, comprehensive I/O, and expansion capabilities, the ROScube-I serves as a robust platform for industrial and service robotics, including autonomous mobile robots (AMR) and autonomous mobile industrial robots (AMIR).




2. Key Features

- x86-64 Mainstream Architecture: Built on Intel® Xeon® and Core™ processors, providing a familiar and powerful platform for ROS 2 development.
- Real-Time Operation: Integrated hard and soft real-time mechanisms ensure deterministic control and precise timing for robotics applications.
- Comprehensive I/O Connectivity: Multiple Ethernet, USB, serial, and digital I/O interfaces support a wide range of sensors, actuators, and peripheral devices.
- Ruggedized Design: Lockable USB connectors, industrial-grade components, and wide temperature tolerance (-20°C to 70°C) ensure reliability in harsh environments.
- External PCIe Gen3 Expansion: Ruggedized cassette design allows for additional GPU, VPU, or functional modules to enhance computational performance.
- AI Acceleration Support: Compatible with Intel® VPUs and NVIDIA® GPUs for AI inference and machine vision workloads.
- Flexible Expansion Options: Extension box available for additional performance and functionality.
- Software Ecosystem: Fully compatible with ADLINK Neuron SDK, Ubuntu 18.04 LTS, ROS/ROS 2, and Intel® OpenVINO™ toolkit.
- Industrial-Grade Reliability: Complies with CE, FCC, UL, and CB safety standards, and meets IEC and MIL-STD vibration and shock requirements.
- Ideal for Robotics Applications: Designed for AMR, AMIR, and other industrial service robotics requiring real-time control and AI integration.




3. Technical Specifications

Processor Options:
| Model | Processor | Cores | Base Freq. | Max Turbo | TDP |
|--------|------------|--------|-------------|------------|------|
| RQI-58 / RQI-58-E | Intel® Xeon® E-2276ME | 6 | 2.8 GHz | 4.5 GHz | 45W |
| RQI-57 / RQI-57-E | Intel® Core™ i7-9850HE | 6 | 2.7 GHz | 4.4 GHz | 45W |
| RQI-55 / RQI-55-E | Intel® Core™ i5-8400H | 4 | 2.5 GHz | 4.2 GHz | 45W |
| RQI-53 / RQI-53-E | Intel® Core™ i3-9100HL | 4 | 1.6 GHz | 2.9 GHz | 25W |

Chipset: Mobile Intel® CM246
Memory: Dual-channel DDR4 SO-DIMM, 2400 MHz, up to 32 GB (16 GB x 2)
Storage: 64 GB to 256 GB SSD (depending on model)
Display Outputs: 2x DisplayPort++ and 1x HDMI
Ethernet: 4x Gigabit Ethernet (3x Intel® i211AT + 1x Intel® i219LM with iAMT, IEEE 1588, and 802.1AS support)
Serial Ports: 2x COM (RS-232/422/485)
USB Ports:
- 2x USB 3.1 Gen1 Type-A (lockable)
- 4x USB 3.1 Gen1 Type-A
- 4x USB 2.0 Type-A

Digital I/O (DB50 Connector):
- 8x Digital Inputs (VIH: 2–5.25V, VIL: 0–0.8V)
- 8x Digital Outputs (VOH: 2.4–5V, VOL: 0–0.5V, 24mA per channel)
- 2x I²C Channels

Expansion Interfaces:
- 2x Full-size Mini PCIe (for CAN, Wi-Fi, or LTE)
- 1x M.2 Socket (Key A/A+E, 2230 for Wi-Fi)
- 1x USIM Socket
- TPM 2.0 Security Module

Indicators:
- 1x Watchdog LED
- 1x Diagnostic Alert LED (indicates missing storage or memory)
- 1x Storage Activity LED
- 5x User-defined LEDs (4x Green, 1x Red)

Power:
- DC Input: 9–32V ±5% with reverse polarity protection
- Power Consumption: 16.7–4.7A (without expansion box), 20–12.5A (with expansion box)
- Optional AC/DC Adapters: 160W, 220W, or 280W
- Power Switch: 1x ON/OFF button
- System Reset: Hardware reset button
- External Power Header: For robot system integration

Physical Characteristics:
- Dimensions (W x D x H):
- Without expansion box: 210 x 240 x 86 mm (8.27 x 9.45 x 3.39 in)
- With expansion box: 210 x 240 x 165 mm (8.27 x 9.45 x 6.50 in)
- Weight:
- 3.6 kg (without expansion box)
- 4.6 kg (with expansion box)
- Mounting: Wall-mount kit included

Environmental Specifications:
- Operating Temperature:
- -20°C to 70°C (with 1x SODIMM)
- -20°C to 60°C (with 2x SODIMM, default configuration)
- Storage Temperature: -40°C to 85°C
- Operating Humidity: Up to 95% @ 40°C (non-condensing)
- Vibration Resistance:
- IEC 60068-2-6: 1G, 5–500Hz, 3 axes
- IEC 60068-2-64: 5Grms, 5–500Hz, 3 axes (with M.2 SSD)
- Shock Resistance: MIL-STD-202G Method 213B, Condition A (100G, half sine, 11ms duration with M.2 SSD)

EMC and Safety Compliance:
- EMI: CE & FCC Class B (EN61000-6-4/-2)
- EMS: IEC 61000-4-2/3/4/5/6/8/11
- Safety: UL, cUL, CB certified




4. Functionality

The ROScube-I functions as a real-time robotic controller optimized for ROS 2-based development. It provides deterministic control for robotic systems through integrated real-time mechanisms and supports both hard and soft real-time operating environments. The controller interfaces with a wide range of sensors, actuators, and communication modules via its comprehensive I/O set, enabling complex robotic behaviors and multi-sensor fusion.

Use Cases and Applications:
- Autonomous Mobile Robots (AMR)
- Autonomous Mobile Industrial Robots (AMIR)
- Industrial service robots
- AI-based vision and perception systems
- Robotic arms and manipulators
- Research and development platforms for robotics and AI

Compatibility:
- Operating System: Ubuntu 18.04 LTS
- Middleware: ROS/ROS 2
- AI Frameworks: Intel® OpenVINO™
- SDK: ADLINK Neuron SDK

The system supports Intel® VPUs and NVIDIA® GPUs for AI inference acceleration, making it suitable for edge AI robotics applications requiring real-time decision-making and perception.




5. Components & Accessories

Included Components:
- ROScube-I main unit (model dependent)
- Wall-mount kit
- Power switch and reset buttons
- User-defined LED indicators
- Optional expansion box (for “-E” models)

Optional Accessories:
- DDR4 SO-DIMM Memory Modules:
- 8 GB DDR4 2400 MHz (P/N: 29-6B800-L430)
- 16 GB DDR4 2400 MHz (P/N: 29-6BC00-L430)
- Wireless Module: Intel® Wireless-AC 9260 M.2 2230 Dual-Band 2x2 Wi-Fi + Bluetooth 5 (P/N: 91-95266-0010)
- CAN Bus Mini PCIe Module: Dual-channel FARO-FS900 (P/N: 92-97142-0010)
- AC/DC Power Adapters:
- 220W (P/N: 31-62149-0000)
- 280W (P/N: 91-95263-0010)

Expansion Box:
Provides additional PCIe Gen3 slots for GPU/VPU cards and other functional modules, enhancing computational and I/O capabilities.




6. Installation & Setup

Requirements:
- DC power input between 9–32V
- Compatible AC/DC adapter (160W–280W)
- Ubuntu 18.04 LTS environment for software setup

Mounting Options:
- Wall-mount kit included for secure installation in industrial environments.
- Expansion box can be attached for additional modules.

Configuration:
- BIOS and firmware preconfigured for real-time operation.
- ROS/ROS 2 and ADLINK Neuron SDK installation supported out-of-the-box.
- Optional modules (Wi-Fi, CAN, LTE) can be installed via Mini PCIe or M.2 slots.
- TPM 2.0 ensures secure boot and data protection.




7. Performance & Capabilities

Processing Power:
Up to 6-core Intel® Xeon® or Core™ processors with turbo frequencies up to 4.5 GHz deliver high computational throughput for robotics workloads.

Memory & Storage:
Dual-channel DDR4 memory up to 32 GB ensures smooth multitasking and real-time data handling. SSD storage (64–256 GB) provides fast data access and durability.

Networking & Communication:
Four Gigabit Ethernet ports with IEEE 1588 and 802.1AS support enable precise time synchronization for distributed robotic systems.

AI & Vision Processing:
Supports Intel® VPUs and NVIDIA® GPUs for AI inference acceleration, enabling real-time object detection, SLAM, and path planning.

Power Efficiency:
Wide DC input range and low power consumption (as low as 4.7A) make it suitable for mobile robotic platforms.

Environmental Robustness:
Operates reliably in temperatures from -20°C to 70°C and withstands vibration and shock per IEC and MIL-STD standards.

Limitations:
- Default configuration limited to 32 GB memory.
- Expansion box required for additional PCIe devices.
- Operating temperature reduced when using dual SODIMM configuration.




8. Standards & Compliance

Environmental and Mechanical Standards:
- Vibration: IEC 60068-2-6 and IEC 60068-2-64 compliant
- Shock: MIL-STD-202G Method 213B, Condition A
- Temperature & Humidity: Designed for industrial-grade operation

Electromagnetic Compatibility (EMC):
- EMI: CE & FCC Class B (EN61000-6-4/-2)
- EMS:
- IEC 61000-4-2 (ESD: ±8kV contact, ±15kV air)
- IEC 61000-4-3 (RS: 10V/m, 80–1000MHz; 3V/m, 1400–2000MHz; 1V/m, 2000–2700MHz)
- IEC 61000-4-4 (EFT: ±2kV power, ±1kV signal)
- IEC 61000-4-5 (Surge: ±2kV power, ±1kV signal)
- IEC 61000-4-6 (CS: 10Vrms, 0.15–80MHz)
- IEC 61000-4-8 (Magnetic fields)
- IEC 61000-4-11 (Voltage dips and interruptions)

Safety Certifications:
- UL, cUL, CB certified for industrial use

Software Compliance:
- ROS/ROS 2 compatible
- Supports Intel® OpenVINO™ for AI inference
- Fully integrated with ADLINK Neuron SDK




9. Additional Information

Warranty & Support:
ADLINK provides standard warranty coverage and technical support for the ROScube-I series. Firmware and software updates are available through ADLINK’s support portal.

Maintenance:
- Regular firmware updates recommended for optimal performance.
- Dust and debris should be cleared periodically to maintain cooling efficiency.
- Expansion modules should be installed following ESD safety procedures.

Software Updates:
- Ubuntu LTS and ROS/ROS 2 updates supported.
- ADLINK Neuron SDK updates ensure compatibility with new ROS distributions and AI frameworks.

Documentation & Resources:
- User manuals, SDK documentation, and installation guides available at [www.adlinktech.com](https://www.adlinktech.com).
- Updated specifications as of May 12, 2020.




Summary

The ADLINK ROScube-I is a robust, real-time embedded robotic controller engineered for industrial and service robotics applications. Combining Intel® Xeon®/Core™ processing power, comprehensive I/O, and ruggedized design, it provides a reliable foundation for ROS 2-based development and AI-driven robotics. With support for Intel® VPUs, NVIDIA® GPUs, and the ADLINK Neuron SDK, the ROScube-I enables developers to build intelligent, autonomous systems capable of real-time perception, control, and decision-making in demanding environments.

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