Process layout
Process Overview
This case study demonstrates the installation of a KUKA KMP 1500P logistics robot at Bigwave Robotics (Marosol) to transport rollers and scrap debris within the space manufacturing facility. The KMP 1500P autonomously handles up to 1 ton of scrap debris over a 1.2 km distance and automatically transports heavy-duty roller modules weighing up to 1 ton. Furthermore, sensors embedded in the KMP 1500P enabled the development of an unmanned system capable of safely transporting heavy-duty materials.
Project Background and Purpose
- Automated unmanned transport using autonomous robots
- Robots perform simple, repetitive tasks
- Safe operation of heavy-duty products using various sensors
- Remote control and monitoring using SOLlink
Components
| Robot | KUKA KMP 1500P *2 |
|---|---|
| Peripherals | 2 automatic robot charging stations; 1 manual robot charging station; 1 hardware PC for KUKA robot server; 1 license for KUKA robot server; 2 SOLlink tablet controllers; 1 SOLlink server; 5 robot transport carts; 10 cart stations |
Workflow
| STEP 1. | Loading of carts in the departure area (loading area) |
|---|---|
| STEP 2. | Work command via SOLlink (tablet) |
| STEP 3. | Loading carts in the departure area using a robot lift |
| STEP 4. | Transporting carts to the destination area |
| STEP 5. | Unloading carts using a robot lift |
| STEP 6. | Setting automatic charging during non-work hours |
| STEP 7. | Charging |
| STEP 8. | Waiting for work after recovering to the preset battery level |
| STEP 9. | When robots cross, give way to the robot with priority and then cross (priority granting criteria: order of work commands) |
Features
Convenience
- Real-time robot monitoring using SOLlink
- Easy robot operation using SOLlink (tablet)
- In-factory Wi-Fi for convenient access without spatial constraints
- Automatic charging function for robot battery maintenance
- Safety using 360-degree lidar and 3D cameras
Safe robot sensor-based transportation
- Equipped with various sensors, including 3D cameras and LiDAR
- Automatic stop upon detection of obstacles or people
- Fall prevention function
Automation of simple tasks
- Improved work efficiency through automated movement
- Maximized work time by utilizing surplus time
Results
| Key Benefits | Automated material handling → Automatically handles over 80 times per day without human intervention, approximately doubling work efficiency.
Safe transport of 1-ton heavy-duty debris → Safety detection and collision avoidance are fully implemented using 3D cameras and LiDAR sensors.
Autonomous driving route optimization → Automatically drives along a set path within a 1.2km section, with priority control when robots intersect to ensure safety.
Improved worker working conditions → Eliminates repetitive heavy-duty transport tasks, reducing worker fatigue and enhancing process focus.
Improved process efficiency and stable operating rates → Automatically recharges and enables continuous unmanned transport, even during nighttime and non-working hours. |
|---|---|
| Client Feedback | Back when heavy debris had to be moved manually, there were many safety concerns and fatigue buildup.
Now, robots are doing the work for us, making it much safer. |
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.
Part Transfer using Autonomous Lift-Conveyor
This logistics robot solution utilizes an autonomous lift-conveyor to perform material transport tasks between manufacturing processes. By using vision technology to recognize workpiece information, the system can stack items in matching locations based on their category. Conversely, when a work command is received, it can retrieve necessary items from storage racks and move them to the discharge position. The integration of a linear track allows the robot to cover a wide operational area, enabling comprehensive inbound/outbound inventory management.
Near P: An Autonomous Mobile Robot Collaborating with Humans in Diverse Environments
Near P is a versatile Autonomous Mobile Robot (AMR) designed for both service and industrial sectors. This solution allows for highly flexible deployment by offering a customizable upper module tailored to specific client needs, making it adaptable to a wide variety of environments. Powered by AI machine learning, Cobot's Near P features advanced autonomous driving, obstacle avoidance, and target-following technologies, ensuring safe navigation in any space. Furthermore, the robot is managed through Near Plus, a proprietary operating system developed by Cobot, which enables anyone to easily operate the robot via mobile devices.
Process layout
Process Overview
This case study demonstrates the installation of a KUKA KMP 1500P logistics robot at Bigwave Robotics (Marosol) to transport rollers and scrap debris within the space manufacturing facility. The KMP 1500P autonomously handles up to 1 ton of scrap debris over a 1.2 km distance and automatically transports heavy-duty roller modules weighing up to 1 ton. Furthermore, sensors embedded in the KMP 1500P enabled the development of an unmanned system capable of safely transporting heavy-duty materials.
Project Background and Purpose
- Automated unmanned transport using autonomous robots
- Robots perform simple, repetitive tasks
- Safe operation of heavy-duty products using various sensors
- Remote control and monitoring using SOLlink
Components
| Robot | KUKA KMP 1500P *2 |
|---|---|
| Peripherals | 2 automatic robot charging stations; 1 manual robot charging station; 1 hardware PC for KUKA robot server; 1 license for KUKA robot server; 2 SOLlink tablet controllers; 1 SOLlink server; 5 robot transport carts; 10 cart stations |
Workflow
| STEP 1. | Loading of carts in the departure area (loading area) |
|---|---|
| STEP 2. | Work command via SOLlink (tablet) |
| STEP 3. | Loading carts in the departure area using a robot lift |
| STEP 4. | Transporting carts to the destination area |
| STEP 5. | Unloading carts using a robot lift |
| STEP 6. | Setting automatic charging during non-work hours |
| STEP 7. | Charging |
| STEP 8. | Waiting for work after recovering to the preset battery level |
| STEP 9. | When robots cross, give way to the robot with priority and then cross (priority granting criteria: order of work commands) |
Features
Convenience
- Real-time robot monitoring using SOLlink
- Easy robot operation using SOLlink (tablet)
- In-factory Wi-Fi for convenient access without spatial constraints
- Automatic charging function for robot battery maintenance
- Safety using 360-degree lidar and 3D cameras
Safe robot sensor-based transportation
- Equipped with various sensors, including 3D cameras and LiDAR
- Automatic stop upon detection of obstacles or people
- Fall prevention function
Automation of simple tasks
- Improved work efficiency through automated movement
- Maximized work time by utilizing surplus time
Results
| Key Benefits | Automated material handling → Automatically handles over 80 times per day without human intervention, approximately doubling work efficiency.
Safe transport of 1-ton heavy-duty debris → Safety detection and collision avoidance are fully implemented using 3D cameras and LiDAR sensors.
Autonomous driving route optimization → Automatically drives along a set path within a 1.2km section, with priority control when robots intersect to ensure safety.
Improved worker working conditions → Eliminates repetitive heavy-duty transport tasks, reducing worker fatigue and enhancing process focus.
Improved process efficiency and stable operating rates → Automatically recharges and enables continuous unmanned transport, even during nighttime and non-working hours. |
|---|---|
| Client Feedback | Back when heavy debris had to be moved manually, there were many safety concerns and fatigue buildup.
Now, robots are doing the work for us, making it much safer. |
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.
Part Transfer using Autonomous Lift-Conveyor
This logistics robot solution utilizes an autonomous lift-conveyor to perform material transport tasks between manufacturing processes. By using vision technology to recognize workpiece information, the system can stack items in matching locations based on their category. Conversely, when a work command is received, it can retrieve necessary items from storage racks and move them to the discharge position. The integration of a linear track allows the robot to cover a wide operational area, enabling comprehensive inbound/outbound inventory management.
Near P: An Autonomous Mobile Robot Collaborating with Humans in Diverse Environments
Near P is a versatile Autonomous Mobile Robot (AMR) designed for both service and industrial sectors. This solution allows for highly flexible deployment by offering a customizable upper module tailored to specific client needs, making it adaptable to a wide variety of environments. Powered by AI machine learning, Cobot's Near P features advanced autonomous driving, obstacle avoidance, and target-following technologies, ensuring safe navigation in any space. Furthermore, the robot is managed through Near Plus, a proprietary operating system developed by Cobot, which enables anyone to easily operate the robot via mobile devices.