AGV Handling Robot Solution: Transform Material Flow from "Man-to-Goods" to "Goods-to-Man"

Overview

In manufacturing and warehouse logistics, heavy reliance on manual loading and unloading has become a core bottleneck restricting efficiency and costs. Centered on Laser SLAM, AI edge controller and intelligent scheduling system, we provide factories and warehouses with an intelligent handling solution featuring "high-precision positioning, multi-robot collaboration and 7×24-hour non-stop operation". Each AGV acts as a "smart handling worker" to unblock breakpoints in production and logistics, fully tapping the potential of automation upgrading.

Quick Overview of Core Values

• Cost Reduction & Efficiency Improvement: Replace massive manual loading and unloading work. Labor cost reduced by over 50%, and efficiency increased by 200%.

• High-precision Navigation: Laser SLAM navigation with parking positioning accuracy of ±5mm, adaptable to complex factory environments.

• Multi-robot Collaboration: Self-developed integrated scheduling system supports collaborative operation of multiple AGVs with intelligent obstacle avoidance and flexible charging.

• Seamless Integration: AI edge controller connects to MES/WMS for stable and reliable signal interaction without packet loss.

• Flexible Deployment: No environmental reconstruction required, quickly adapting to different production line layouts and technological processes.

  
  

Are you facing these "pain points of intelligent handling"?

Pain Point 1: Complex factory environment and difficulty in multi-robot collaborative avoidance

Multiple AGV handling robots work alongside production equipment in the same area. Narrow passages and mixed flow of personnel and vehicles lead to frequent path conflicts and complex avoidance decisions among robots, which traditional scheduling systems struggle to handle.

Pain Point 2: High navigation accuracy requirement and difficulty guaranteeing positioning consistency

AGVs need precise docking at dense production stations with millimeter-level parking positioning accuracy. Traditional magnetic stripe or QR code navigation is prone to wear and high maintenance costs. Single navigation mode suffers poor reliability under complex lighting and ground reflection conditions.

Pain Point 3: Frequent signal interaction, and network stability becomes a bottleneck

Frequent operation signal exchanges between AGV handling robots and on-site management systems (MES, WMS) impose high requirements on network real-time performance and stability. Signal loss may trigger task interruption, material mismatch and other cascading problems.

Pain Point 4: Wide product variety, small dimensions, difficulty in information identification and traceability

A large quantity of products are transferred on-site, some with small size and similar shape. Conventional methods cannot quickly and accurately distinguish product information, affecting the precision of material tracking and quality backtracking.

Our Solution: AI Edge Controller + Laser SLAM Navigation + Integrated Scheduling to Systematically Resolve AGV Handling Challenges

Core 1: FUWEI AI Edge Controller — Solve integration problems of "frequent signal interaction and difficult system docking"

• Pain Point: Frequent signal exchanges between AGVs and MES/WMS with easy packet loss; complicated docking for multi-brand and multi-protocol devices.

• Solution: Adopt FUWEI AI Edge Controller as the master controller of the production site to realize signal interaction and instruction forwarding among AGV handling robots, production equipment and customer on-site management systems.

• Technical Highlight: The edge controller integrates multiple communication interfaces and supports standard industrial protocols including Modbus TCP, OPC UA and EtherCAT. It effectively reduces network latency and packet loss rate to ensure real-time and reliable signal transmission.

• Value Output: System integration cycle shortened from several months to several weeks; zero packet loss and zero latency for signal interaction, task execution accuracy raised to over 99.9%.

Core 2: Self-developed Robot Integrated Control System — Solve management problems of "difficult multi-robot collaboration and low scheduling efficiency"

• Pain Point: Frequent path conflicts, uneven task allocation and messy charging management when multiple AGVs operate simultaneously.

• Solution: Deploy self-developed robot integrated control system for unified scheduling, task assignment, intelligent avoidance and flexible charging of multiple AGVs. Based on reinforcement learning algorithms, it can schedule more than 100 AGVs at the same time, automatically avoiding route conflicts. Multi-robot collaboration efficiency improved by over 35%, and congestion rate reduced below 0.5%.

• Technical Highlights

• Based on integrated cost function, the globally optimal task allocation scheme is considered from bottom layer to maximize robot utilization rate.

• The system can automatically plan charging timing for each robot to realize "uninterrupted charging", ensuring no impact on production takt.

• Value Output: Multi-robot collaboration efficiency increased by over 50%, empty load rate reduced by 60%, charging management fully automated.

Core 3: Laser SLAM Navigation + High-precision Positioning — Solve execution problems of "low navigation precision and poor environmental adaptability"

• Pain Point: Complex factory environment, uneven ground and variable lighting make traditional navigation modes hard to adapt.

• Solution: AGV handling robots adopt Laser SLAM navigation technology. It scans the environment via laser radar to generate 3D maps without magnetic stripes or QR codes, achieving parking positioning accuracy of ±5mm.

• Technical Highlight: Laser SLAM + vision fusion navigation delivers millimeter-level positioning through environmental feature matching in GPS-denied indoor scenarios, adapting to dynamically changing factory environments.

• Value Output: No environment reconstruction required for navigation system, deployment cost cut by 80%. Positioning consistency and reliability reach industrial standards.

Core 4: 300kg Load AGV + QR Code Auxiliary Positioning — Solve precision problems of "difficult product identification and inaccurate positioning"

• Pain Point: Large quantity of transferred on-site products with small size, hard to distinguish; AGV positioning deviation affects picking and placement accuracy.

• Solution: Adopt 300kg load AGV transfer robot whose transfer platform matches products. QR codes are laid on product or ground for robots to confirm location and product information, guaranteeing AGV positioning and accurate product information.

• Value Output: Product information identification accuracy raised to 99.9%, eliminating material mismatch and leakage, enabling full-process traceability.

Why Choose Our Solution?

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