ARMxy BL360 + AGV Autonomous Navigation Control Solution: High-Precision Positioning · Flexible Path Planning · Multi-Machine Collaboration
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ARMxy BL360 AGV Nav Ctrl: High-Prec Pos, Flex Path Plan & Multi-Mach Collab

ARMxy BL360 + AGV autonomous navigation: ±10mm positioning precision, <200ms path re-planning, multi-machine collaboration. Improves efficiency by 30%-40%, reduces conflicts by 50%+.
ARMxy BL360 AGV Nav Ctrl: High-Prec Pos, Flex Path Plan & Multi-Mach Collab
Case Details

I. Executive Summary

In the smart logistics and manufacturing industry, AGV (Automated Guided Vehicle) navigation accuracy and operational efficiency directly affect production and logistics throughput. Traditional AGV systems face core challenges such as low positioning precision, rigid path planning, poor multi-machine collaboration, and difficult fault diagnosis. This solution, based on the ARMxy BL360 industrial-grade embedded computer with quad-core Cortex-A53 and GPU graphics acceleration, builds an AGV autonomous navigation control system integrating high-precision positioning, dynamic path planning, multi-machine collaborative scheduling, and remote monitoring. By adopting laser SLAM + visual fusion positioning algorithm, it achieves ±10mm positioning precision and <200ms path re-planning response. Combined with BLIoTLink, BLRAT, and Qt core tools, the solution ultimately improves AGV operational efficiency by 30%-40%, reduces path conflict rates by over 50%, and realizes intelligent management of AGV fleets.

II. Analysis of Core Industry Pain Points

  • Low Positioning Precision: Single positioning method leads to drift, failing to meet high-precision handling needs.
  • Rigid Path Planning: Fixed paths cannot adapt to dynamic obstacles and production layout changes.
  • Poor Multi-Machine Collaboration: Lack of unified scheduling, resulting in path conflicts and low fleet efficiency.
  • Difficult Fault Diagnosis: Dispersed AGVs require on-site troubleshooting, with high maintenance costs.

III. Core Value of the Solution

The ARMxy BL360 + Multi-Sensor Fusion combination delivers four core values for AGV navigation:
  1. High-Performance Computing: Quad-core Cortex-A53 + GPU graphics acceleration, supporting real-time fusion of laser, visual, and inertial data.
  2. Hard Real-Time Control: Equipped with Linux-RT kernel and EtherCAT, ensuring millisecond-level synchronization of motion control commands.
  3. Flexible Path Planning: Dynamic obstacle avoidance algorithm adapts to complex and changing working environments.
  4. Industrial-Grade Stability: -40~85℃ wide temperature range and anti-electromagnetic interference design, adapting to harsh factory environments.

IV. System Architecture and Core Technologies

1. System Topology Architecture

Adopting a "cloud-edge-device" three-tier collaborative architecture:
  • Device Layer: Laser radar, visual camera, inertial measurement unit (IMU), wheel encoder, collecting positioning and environmental data.
  • Edge Layer: ARMxy BL360 as the core controller, undertaking positioning calculation, path planning, and motion control.
  • Cloud Layer: Realizing AGV fleet scheduling, task assignment, and remote monitoring.

2. Core Technologies

  • Multi-Sensor Fusion Positioning: Laser SLAM + visual recognition + IMU calibration, achieving high-precision and stable positioning.
  • Dynamic Path Planning: A* + D* Lite algorithm, realizing real-time obstacle avoidance and path optimization.
  • Multi-Machine Collaborative Scheduling: Based on MQTT protocol, realizing task allocation and path conflict resolution among multiple AGVs.
  • Remote Fault Diagnosis: BLRAT tool enables remote access to AGV status data and fault analysis.

V. Hardware Configuration

  • Main Controller: ARMxy BL362B (3×10/100M Ethernet ports, supports HDMI2.0, 2 Y-board slots)
  • Core Board: SOM361 (NXP i.MX8M Mini, 4×Cortex-A53, 2GB DDR4, 8GB eMMC)
  • Peripheral Configuration: 2D laser radar, HD visual camera, IMU module, EtherCAT servo driver, wheel encoder
  • Expansion Module: Y63 RS485 module (for connecting peripheral sensors), Y31 AI module (for visual data collection), Y51 RTD module (for motor temperature monitoring)

VI. Summary of Solution Advantages

  • Ultra-High Precision: ±10mm positioning precision, meeting high-precision handling and docking needs.
  • Flexible Navigation: Dynamic path planning adapts to dynamic obstacles and layout changes.
  • Efficient Collaboration: Multi-machine unified scheduling reduces path conflicts by over 50%.
  • Low-Cost Maintenance: Remote fault diagnosis reduces on-site maintenance time by 60%+.

VII. Application Scenarios

This solution is suitable for:
  • Smart warehouse AGV/AMR (Automated Mobile Robot)
  • Factory workshop material handling AGV
  • Logistics sorting AGV system
  • Port container handling AGV
  • Medical logistics AGV (hospital drug/equipment transportation)

VIII. Conclusion

The ARMxy BL360 + AGV autonomous navigation control solution addresses the core pain points of traditional AGV systems through hardware computing power, algorithm fusion, and software ecosystem integration. The solution not only realizes high-precision, flexible, and collaborative AGV operation but also provides data support for fleet efficiency optimization through remote monitoring. It is an important technical support for logistics and manufacturing enterprises to achieve intelligent upgrading, improve operational efficiency, and reduce costs, and a key path to build smart factories and smart logistics systems.
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