Haemil FA Unmanned Forklift SFL-COD140

This video information presents an autonomous logistics transport Forklift system based on SLAM (Simultaneous Localization and Mapping). It provides an autonomous unmanned method for logistics transport and stacking tasks, ensuring safety through Navigation Scan Lidar for positioning, Multi-Lidar for object and obstacle recognition, and 2D/3D cameras for pallet and cage loading.

What is SLAM (Simultaneous Localization and Mapping)? It is a core technology for autonomous driving where a robot creates an accurate map of its work environment using only its onboard autonomous sensors while navigating the workspace.

Project Background & Objectives

Accurate and repetitive logistics tasks using autonomous robots.

Components

Robot	Autonomous Unmanned Forklift: SFL-CDD140 Payload: 1,400kg (Other models up to 2,500kg). Lifting Height: 1,600 / 3,000mm (Other models up to 5,755mm). Navigation position/angle accuracy: ±10mm / ±0.5º. Auto-Charging Unit. AMR Operation Software RDS: Scenario Builder. RoboView (Option): CCTV-based Vision AI Solution.

Workflow

STEP 1.	Scenario Configuration: Configure transport and loading scenarios according to the work environment.
STEP 2.	System Integration: Install and connect the system to the site.
STEP 3.	SLAM Mapping: Create a work map using the AMR’s built-in SLAM function.
STEP 4.	Site Application: Implement the system for operational use.

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Key Features

Operational Efficiency and Safety
- Market Proven AMR: Secured stability with the world's No. 1 global market share in autonomous mobile robots.
- Efficient Space Utilization & Optimal Logistics Routing: Implementation of SLAM-based 3D mapping and Digital Twin CCTV monitoring.
Max 12–18 Months ROI
- Expected ROI within 12–18 months for standard sales.
- Labor costs (including incidental expenses) X 2 Shifts = 90–100 million KRW per year (Forklift purchase cost excluded).

Implementation Results

ROI Period	Max 12–18 months
Key Metrics	Reduced operational losses + reduced accidents = increased opportunity cost.
Client Feedback	"Thanks to the outstanding performance of the unmanned forklift, we were able to configure stable and accurate logistics scenarios."

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The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Capex Comparison

(Unit: Million KRW)

Category	Driver-Operated Electric Forklift	AMR Forklift
Payload 1,500kg	30	n/a
Labor Cost (2 people / 2 Shifts X 1 year)	90	n/a
Year 1 Total Cost (Excluding maintenance)	120	n/a
Year 2 Total Cost	90	-

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Project Background & Objectives

Components

Workflow

Key Features

Implementation Results

Capex Comparison

Haemil FA Unmanned Forklift SFL-COD140

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