This logistics automation solution utilizes two Twinny NarGo 100 AMRs equipped with advanced collision avoidance to transport incoming component pallets to subsequent processing areas.
Twinny’s NarGo 100 solution features triple-layer safety sensors and autonomous driving technology, allowing it to operate safely in any factory environment—even those with complex layouts and high pedestrian traffic.
In the previous manual process, after forklifts unloaded parts at the receiving dock, downstream workers had to leave their stations to retrieve the pallets. This resulted in significant process wait times and idle periods. By implementing autonomous robots, components are transported directly to the internal workstations immediately after arrival. This minimizes "external setup time" (non-value-added transport time) and substantially boosts overall productivity.
Components
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Workflow
| STEP 1. | Loading: A forklift places the incoming pallet onto the waiting NarGo 100. |
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| STEP 2. | Command: Once loading is complete, an operator issues a command for the robot to move to the next process. |
| STEP 3. | Navigation: The robot autonomously navigates to the designated downstream workstation. |
| STEP 4. | Arrival: The robot arrives at the designated production line input point. |
| STEP 5. | Unloading: A nearby worker removes the components and feeds them into the production line. |
| STEP 6. | Return: After unloading, a command is issued for the robot to return to the receiving dock for the next mission. |
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Features
A Proven Safety Solution
Safe Human-Robot Collaboration: An automation solution engineered to work securely alongside people.
Triple-Layer Safety System: Equipped with 2D/3D LiDAR, ultrasonic sensors, and bumper collision sensors for comprehensive protection.
Smart Hazard Detection: Features automatic deceleration to prevent human collisions and the ability to autonomously reroute around unexpected obstacles.
Optimal Results with Minimal Investment
Affordable Logistics Automation: Achieve high-level automation without the prohibitive capital costs typical of industrial robotics.
Infrastructure-Free (AMR): Uses Autonomous Mobile Robot (AMR) technology—no wires, magnets, or floor guides required.
Rapid Setup & Deployment
2-Day Mapping: Full facility mapping takes only two days and can be completed while personnel are active, ensuring no downtime during setup.
Self-Contained Navigation: The NarGo 100 identifies its position and plans paths using onboard sensors, eliminating the need for additional facility modifications.
Flexibility in Complex Workspaces
Zero-Turn Maneuverability: Capable of 360-degree rotation on the spot for extreme agility.
Narrow Path Navigation: Seamlessly operates in tight aisles as narrow as 110cm.
Versatile & Intelligent Management
Smart Fleet Control: Monitor status and issue work commands easily through a user-friendly mobile app or web-based management system.
Results
| ROI Period | 20.4 months |
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| Key Benefits | 15% Increase in monthly production capacity (CAPA).
Minimization of manual worker travel and transport movement.
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| Client Feedback | "By reducing travel and setup times, we achieved the efficiency of reducing our workforce by one full-time person. We were hesitant about logistics robots due to high costs, but the NarGo 100’s affordability made the decision easy."
"Most logistics systems are incredibly complex to build, but the NarGo 100 was ready to use immediately after a simple mapping process. The mobile/web control system makes monitoring and issuing commands extremely convenient."
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※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
