Process layout
This logistics automation solution utilizes a compact AMR (Autonomous Mobile Robot) to perform indoor material transport tasks.
Based on multi-sensor fusion including Lidar, Camera, RGBD, IMU, and Encoders, the robot can move freely within designated areas. It supports both a "Delivery Mode" for transporting items to specific locations and a "Cruise Mode" for moving repeatedly along a pre-set path.
By facilitating the movement of goods within the workplace, this solution reduces worker fatigue caused by repetitive manual labor and increases overall operational efficiency. It can also safely transport chemical, fresh, or medical supplies, as well as hazardous materials, within the facility.
IMU: A sensor-based device that measures the velocity, orientation, gravity, and acceleration of a moving object.
Encoder: A transducer in digital electronic circuits that converts signals from one code sequence to another.
Components
| Robot |
|
|---|
Workflow
| STEP 1. |
|---|
Features
Simple and Fast Installation
Efficient Process: Ceiling marker attachment → Robot path learning → Map registration → Trial run and training.
Rapid Deployment: The entire process can be completed within one day (e.g., within 2 hours for a 165 $m^2$ area; varies by size and layout).
Minimal Infrastructure: No additional facility construction is required beyond ceiling marker placement.
Differentiated Software Technology
Multi-Map Support: Multiple site maps can be saved and selected as needed.
Three Selectable Idle Modes:
One-to-one parking mode: Each robot returns to its specific designated spot after completing a task.
Free mode: Robots return freely to any available space within a defined parking zone after work.
Parking replenishment mode: Sets designated parking and standby areas; the first robot to arrive takes the parking spot, while subsequent robots wait in the standby area.
Multi-Robot Collaboration
Pudu Cloud Integration: Robots share orders in real-time via the Pudu Cloud, enabling collaboration by yielding or avoiding each other based on order priority.
Scalability: Up to 100 robots can collaborate seamlessly.
High Performance for Safe Operation
Advanced Vision: Equipped with two high-performance RGBD cameras (co-developed with Intel) providing a 174° wide field of view to detect obstacles and unexpected situations from the front and sides.
PUDU SLAM: Uses proprietary autonomous driving technology that combines LiDAR, RGBD cameras, and ceiling markers for precise positioning.
Reliable Maintenance: Accessible through a nationwide official A/S maintenance network equivalent to the headquarters' standards.
Customer-Centric Purchase Programs
Flexible Options: Offers various programs including direct purchase, long-term rental, and short-term rentals for events.
Results
| Key Benefits | Increased work focus by minimizing the physical movement and travel distance of workers.
|
|---|---|
| Client Feedback | Usually, introducing logistics robots like AGVs is a difficult decision due to high costs. However, PuduBot allowed us to move forward because of its relatively low cost and the extreme simplicity of its installation and operation.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
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Process layout
This logistics automation solution utilizes a compact AMR (Autonomous Mobile Robot) to perform indoor material transport tasks.
Based on multi-sensor fusion including Lidar, Camera, RGBD, IMU, and Encoders, the robot can move freely within designated areas. It supports both a "Delivery Mode" for transporting items to specific locations and a "Cruise Mode" for moving repeatedly along a pre-set path.
By facilitating the movement of goods within the workplace, this solution reduces worker fatigue caused by repetitive manual labor and increases overall operational efficiency. It can also safely transport chemical, fresh, or medical supplies, as well as hazardous materials, within the facility.
IMU: A sensor-based device that measures the velocity, orientation, gravity, and acceleration of a moving object.
Encoder: A transducer in digital electronic circuits that converts signals from one code sequence to another.
Components
| Robot |
|
|---|
Workflow
| STEP 1. |
|---|
Features
Simple and Fast Installation
Efficient Process: Ceiling marker attachment → Robot path learning → Map registration → Trial run and training.
Rapid Deployment: The entire process can be completed within one day (e.g., within 2 hours for a 165 $m^2$ area; varies by size and layout).
Minimal Infrastructure: No additional facility construction is required beyond ceiling marker placement.
Differentiated Software Technology
Multi-Map Support: Multiple site maps can be saved and selected as needed.
Three Selectable Idle Modes:
One-to-one parking mode: Each robot returns to its specific designated spot after completing a task.
Free mode: Robots return freely to any available space within a defined parking zone after work.
Parking replenishment mode: Sets designated parking and standby areas; the first robot to arrive takes the parking spot, while subsequent robots wait in the standby area.
Multi-Robot Collaboration
Pudu Cloud Integration: Robots share orders in real-time via the Pudu Cloud, enabling collaboration by yielding or avoiding each other based on order priority.
Scalability: Up to 100 robots can collaborate seamlessly.
High Performance for Safe Operation
Advanced Vision: Equipped with two high-performance RGBD cameras (co-developed with Intel) providing a 174° wide field of view to detect obstacles and unexpected situations from the front and sides.
PUDU SLAM: Uses proprietary autonomous driving technology that combines LiDAR, RGBD cameras, and ceiling markers for precise positioning.
Reliable Maintenance: Accessible through a nationwide official A/S maintenance network equivalent to the headquarters' standards.
Customer-Centric Purchase Programs
Flexible Options: Offers various programs including direct purchase, long-term rental, and short-term rentals for events.
Results
| Key Benefits | Increased work focus by minimizing the physical movement and travel distance of workers.
|
|---|---|
| Client Feedback | Usually, introducing logistics robots like AGVs is a difficult decision due to high costs. However, PuduBot allowed us to move forward because of its relatively low cost and the extreme simplicity of its installation and operation.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
AI Navigation Solution: SEIRIOS
The AI navigation system SEIRIOS by MOVEL AI is a smart navigation solution that brings intelligence to robots. As a culmination of MOVEL AI's superior technology, SEIRIOS has already proven its outstanding performance through integration into various robots, such as UV disinfection robots and cleaning robots. Through AI technology, machine learning, vision, and sensor fusion, SEIRIOS enables robots to achieve human-like precision and movement. Furthermore, implementing SEIRIOS will save you valuable time and costs.
Palletizing Automation using Epson VT6L & Range Extender
This solution automates the process of packing products into boxes and subsequently palletizing them by integrating Epson's VT6L 6-axis robot, Epson's T6 SCARA robot, and Vention's Range Extender with MachineMotion controller. The Epson T6 SCARA robot efficiently handles the high-speed task of transferring products into boxes. Meanwhile, the Epson VT6L 6-axis robot, mounted on Vention's Range Extender, performs palletizing across a significantly expanded workspace. This combination allows for a seamless transition from primary packaging to end-of-line palletizing within a single automated cell.
Unmanned Warehouse System using Geek+ P800
This application case features an unmanned warehouse system utilizing the Geek+ P800 picking robot. By distinguishing between long-term storage items and high-frequency goods, the system implements an intelligent warehouse management model that enhances customer accessibility and convenience. This solution maximizes space utilization by storing a high volume of goods within a compact footprint.