Process layout
Process Overview
This case study showcases a logistics automation solution that uses VisionNav’s VNPA15 autonomous mobile robot (AMR) to automate the transport and loading/stacking of packaged products in indoor material-handling operations.
Built on robust safety functions, the solution minimizes changes to existing workflows while enabling unattended load/unload tasks, and provides effective monitoring and control of real-time operations.
Components
| Robot | VisionNav VNPA15 (Autonomous Counterbalanced Truck) Lifting height: 0–4,500 mm Max payload: 800 kg Min. stacking aisle width: 3,200 mm Dimensions (W×D×H): 2,790 × 1,185 × 2,110 mm Vehicle weight: 2,640 kg |
|---|
Workflow
| STEP 1. | Transport/stacking task dispatch |
|---|---|
| STEP 2. | Navigate to the pick location |
| STEP 3. | Pick from a two-level stacked load |
| STEP 4. | Navigate to the truck position and unload |
Features
High Performance and Safety
Using Visual SLAM, the system can achieve positioning accuracy of ±5 mm and navigation accuracy of ±10 mm.
Delivers high work efficiency with a maximum travel speed of 2 m/s and fast motion execution.
Even on complex routes, it can travel while avoiding obstacles at a speed comparable to a human operator’s working pace.
Ensures high safety through 5-level safety protection and a redundant control system.
Enables 24/7 continuous operation, increasing productivity.
Supports automatic charging based on remaining battery level and efficient task planning.
Recognizes variable truck positions to enable product loading onto trucks.
Supports alignment operations for multi-level stacking.
Minimized Deployment Time and Cost
With self-localization and path planning, it can reduce deployment time and cost by minimizing additional facility modifications.
Provides flexible ๋์ to layout changes and work-location changes.
Performs obstacle avoidance via autonomous navigation functions.
Enables optimized operation and management of multiple units (100+ vehicles/equipment).
Results
| Key Benefits | Replaced 7 forklifts and 21 forklift operators with 10 VisionNav trucks (VNPA fleet). 63 pallets/hour, 24/7 operation (truck loading: 1,500 bags). |
|---|---|
| Client Feedback | With the VisionNav solution, we were able to perform stable two-level stacking and material transport operations, and also handle truck loading efficiently even when the truck docking position was not fixed. |
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Boston Dynamics Spot: The Autonomous Mobile Robot (Robot Dog)
This security and patrol automation solution utilizes Spot, the quadruped robot dog developed by Boston Dynamics. Spot is an agile, four-legged robot designed to be rugged and highly customizable. It is perfectly suited for unstructured environments, capable of climbing stairs and traversing rough, uneven terrain that traditional wheeled robots cannot access. By incorporating the Clearpath ROS Package for Spot, robotics researchers and developers can take full advantage of out-of-the-box ROS (Robot Operating System) functionality. This allows for accelerated development by leveraging widely available open-source libraries, tools, and the extensive global ROS community.
T11 Standard Pallet Transport using Twinny NarGo 100
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 environmentโeven 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.
AI Palletizing using Hyundai YS140 and Mech-Mind
This automation solution utilizes Mech-Mind 3D Vision and the Hyundai YS140 industrial robot to automatically sort and stack boxes onto pallets by size, as well as transfer them to conveyors. By employing two sets of highly cost-effective 3D vision sensors, the system can stably perform both palletizing and depalletizing tasks even when various product boxes are mixed together (Mixed-Case Palletizing). The project was implemented to improve worker health and safety by automating tasks known to cause musculoskeletal disorders.
Process layout
Process Overview
This case study showcases a logistics automation solution that uses VisionNav’s VNPA15 autonomous mobile robot (AMR) to automate the transport and loading/stacking of packaged products in indoor material-handling operations.
Built on robust safety functions, the solution minimizes changes to existing workflows while enabling unattended load/unload tasks, and provides effective monitoring and control of real-time operations.
Components
| Robot | VisionNav VNPA15 (Autonomous Counterbalanced Truck) Lifting height: 0–4,500 mm Max payload: 800 kg Min. stacking aisle width: 3,200 mm Dimensions (W×D×H): 2,790 × 1,185 × 2,110 mm Vehicle weight: 2,640 kg |
|---|
Workflow
| STEP 1. | Transport/stacking task dispatch |
|---|---|
| STEP 2. | Navigate to the pick location |
| STEP 3. | Pick from a two-level stacked load |
| STEP 4. | Navigate to the truck position and unload |
Features
High Performance and Safety
Using Visual SLAM, the system can achieve positioning accuracy of ±5 mm and navigation accuracy of ±10 mm.
Delivers high work efficiency with a maximum travel speed of 2 m/s and fast motion execution.
Even on complex routes, it can travel while avoiding obstacles at a speed comparable to a human operator’s working pace.
Ensures high safety through 5-level safety protection and a redundant control system.
Enables 24/7 continuous operation, increasing productivity.
Supports automatic charging based on remaining battery level and efficient task planning.
Recognizes variable truck positions to enable product loading onto trucks.
Supports alignment operations for multi-level stacking.
Minimized Deployment Time and Cost
With self-localization and path planning, it can reduce deployment time and cost by minimizing additional facility modifications.
Provides flexible ๋์ to layout changes and work-location changes.
Performs obstacle avoidance via autonomous navigation functions.
Enables optimized operation and management of multiple units (100+ vehicles/equipment).
Results
| Key Benefits | Replaced 7 forklifts and 21 forklift operators with 10 VisionNav trucks (VNPA fleet). 63 pallets/hour, 24/7 operation (truck loading: 1,500 bags). |
|---|---|
| Client Feedback | With the VisionNav solution, we were able to perform stable two-level stacking and material transport operations, and also handle truck loading efficiently even when the truck docking position was not fixed. |
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Boston Dynamics Spot: The Autonomous Mobile Robot (Robot Dog)
This security and patrol automation solution utilizes Spot, the quadruped robot dog developed by Boston Dynamics. Spot is an agile, four-legged robot designed to be rugged and highly customizable. It is perfectly suited for unstructured environments, capable of climbing stairs and traversing rough, uneven terrain that traditional wheeled robots cannot access. By incorporating the Clearpath ROS Package for Spot, robotics researchers and developers can take full advantage of out-of-the-box ROS (Robot Operating System) functionality. This allows for accelerated development by leveraging widely available open-source libraries, tools, and the extensive global ROS community.
T11 Standard Pallet Transport using Twinny NarGo 100
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 environmentโeven 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.
AI Palletizing using Hyundai YS140 and Mech-Mind
This automation solution utilizes Mech-Mind 3D Vision and the Hyundai YS140 industrial robot to automatically sort and stack boxes onto pallets by size, as well as transfer them to conveyors. By employing two sets of highly cost-effective 3D vision sensors, the system can stably perform both palletizing and depalletizing tasks even when various product boxes are mixed together (Mixed-Case Palletizing). The project was implemented to improve worker health and safety by automating tasks known to cause musculoskeletal disorders.