{"id":6901,"date":"2023-03-31T10:57:37","date_gmt":"2023-03-31T02:57:37","guid":{"rendered":"https:\/\/en.siasun.com\/?p=6901"},"modified":"2026-04-07T09:45:14","modified_gmt":"2026-04-07T01:45:14","slug":"the-application-of-collaborative-robots-based-on-welding-vision-based-teachless-technology-in-container-manufacturing","status":"publish","type":"post","link":"https:\/\/en.siasun.com\/th\/the-application-of-collaborative-robots-based-on-welding-vision-based-teachless-technology-in-container-manufacturing.html","title":{"rendered":"\u00a0\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e20\u0e32\u0e0a\u0e19\u0e30"},"content":{"rendered":"
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1. \u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15<\/strong>: \u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e2d\u0e31\u0e1b\u0e40\u0e01\u0e23\u0e14\u0e2a\u0e32\u0e22\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e41\u0e25\u0e30\u0e15\u0e34\u0e14\u0e15\u0e31\u0e49\u0e07\u0e2a\u0e16\u0e32\u0e19\u0e35\u0e27\u0e34\u0e0a\u0e31\u0e48\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e41\u0e1a\u0e1a\u0e23\u0e48\u0e27\u0e21\u0e21\u0e37\u0e2d\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 60 \u0e2a\u0e16\u0e32\u0e19\u0e35 \u0e17\u0e33\u0e43\u0e2b\u0e49\u0e04\u0e27\u0e32\u0e21\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e0a\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e25\u0e14\u0e25\u0e07\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 60 \u0e04\u0e19 \u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e17\u0e35\u0e48\u0e14\u0e35\u0e02\u0e36\u0e49\u0e19\u0e22\u0e31\u0e07\u0e0a\u0e48\u0e27\u0e22\u0e25\u0e14\u0e07\u0e32\u0e19\u0e2b\u0e25\u0e31\u0e07\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e40\u0e08\u0e35\u0e22\u0e23 \u0e0b\u0e36\u0e48\u0e07\u0e0a\u0e48\u0e27\u0e22\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19\u0e44\u0e14\u0e49\u0e2d\u0e35\u0e01\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 10 \u0e04\u0e19\u0e43\u0e19\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23.<\/p>\n\n\n\n

2. \u0e01\u0e32\u0e23\u0e41\u0e01\u0e49\u0e44\u0e02\u0e1b\u0e31\u0e0d\u0e2b\u0e32\u0e01\u0e32\u0e23\u0e02\u0e32\u0e14\u0e41\u0e04\u0e25\u0e19\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19<\/strong>: \u0e42\u0e0b\u0e25\u0e39\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e0a\u0e48\u0e27\u0e22\u0e1a\u0e23\u0e23\u0e40\u0e17\u0e32\u0e1b\u0e31\u0e0d\u0e2b\u0e32\u0e01\u0e32\u0e23\u0e02\u0e32\u0e14\u0e41\u0e04\u0e25\u0e19\u0e0a\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e17\u0e35\u0e48\u0e21\u0e35\u0e21\u0e32\u0e22\u0e32\u0e27\u0e19\u0e32\u0e19\u0e41\u0e25\u0e30\u0e1b\u0e31\u0e0d\u0e2b\u0e32\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e32\u0e22\u0e38\u0e21\u0e32\u0e01\u0e43\u0e19\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e15\u0e48\u0e2d\u0e40\u0e23\u0e37\u0e2d\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e17\u0e31\u0e49\u0e07\u0e1b\u0e25\u0e14\u0e1b\u0e25\u0e48\u0e2d\u0e22\u0e41\u0e23\u0e07\u0e07\u0e32\u0e19\u0e41\u0e19\u0e27\u0e2b\u0e19\u0e49\u0e32\u0e08\u0e32\u0e01\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e17\u0e35\u0e48\u0e21\u0e35\u0e1d\u0e38\u0e48\u0e19\u0e2a\u0e39\u0e07\u0e41\u0e25\u0e30\u0e23\u0e31\u0e07\u0e2a\u0e35\u0e2d\u0e32\u0e23\u0e4c\u0e04\u0e17\u0e35\u0e48\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07.<\/p>\n\n\n\n

3.  \u0e2a\u0e48\u0e07\u0e40\u0e2a\u0e23\u0e34\u0e21\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e41\u0e25\u0e30\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e1a\u0e17\u0e1a\u0e32\u0e17\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u0e43\u0e2b\u0e21\u0e48<\/strong>: \u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e23\u0e48\u0e27\u0e21\u0e01\u0e31\u0e19\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e21\u0e19\u0e38\u0e29\u0e22\u0e4c\u0e41\u0e25\u0e30\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e44\u0e14\u0e49\u0e2a\u0e48\u0e07\u0e40\u0e2a\u0e23\u0e34\u0e21\u0e1a\u0e17\u0e1a\u0e32\u0e17\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u0e43\u0e2b\u0e21\u0e48 \u0e46 \u0e40\u0e0a\u0e48\u0e19 \u201c\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e1a\u0e33\u0e23\u0e38\u0e07\u0e23\u0e31\u0e01\u0e29\u0e32\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u201d \u0e0b\u0e36\u0e48\u0e07\u0e02\u0e31\u0e1a\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e08\u0e32\u0e01\u0e0a\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e41\u0e1a\u0e1a \u201c\u0e41\u0e21\u0e19\u0e19\u0e27\u0e25\u201d \u0e41\u0e1a\u0e1a\u0e14\u0e31\u0e49\u0e07\u0e40\u0e14\u0e34\u0e21\u0e44\u0e1b\u0e2a\u0e39\u0e48\u0e1c\u0e39\u0e49\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e07\u0e32\u0e19\u0e41\u0e1a\u0e1a \u201c\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u201d.<\/p>\n\n\n\n

4. \u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e44\u0e1b\u0e44\u0e14\u0e49\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e19\u0e33\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e23\u0e48\u0e27\u0e21\u0e21\u0e37\u0e2d\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e21\u0e32\u0e43\u0e0a\u0e49\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e19\u0e48\u0e32\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e16\u0e37\u0e2d\u0e02\u0e2d\u0e07\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c\u0e20\u0e32\u0e22\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28<\/strong>: \u0e01\u0e32\u0e23\u0e15\u0e34\u0e14\u0e15\u0e31\u0e49\u0e07\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e41\u0e1a\u0e1a\u0e20\u0e32\u0e1e 60 \u0e15\u0e31\u0e27\u0e43\u0e19\u0e04\u0e25\u0e31\u0e2a\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e40\u0e1b\u0e47\u0e19\u0e01\u0e32\u0e23\u0e22\u0e37\u0e19\u0e22\u0e31\u0e19\u0e04\u0e27\u0e32\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e44\u0e1b\u0e44\u0e14\u0e49\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e43\u0e0a\u0e49\u0e2b\u0e38\u0e48\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e23\u0e48\u0e27\u0e21\u0e21\u0e37\u0e2d\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e43\u0e19\u0e2a\u0e16\u0e32\u0e19\u0e01\u0e32\u0e23\u0e13\u0e4c\u0e17\u0e35\u0e48\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e22\u0e31\u0e07\u0e41\u0e2a\u0e14\u0e07\u0e43\u0e2b\u0e49\u0e40\u0e2b\u0e47\u0e19\u0e16\u0e36\u0e07\u0e04\u0e27\u0e32\u0e21\u0e19\u0e48\u0e32\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e16\u0e37\u0e2d\u0e02\u0e2d\u0e07\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c\u0e2d\u0e31\u0e08\u0e09\u0e23\u0e34\u0e22\u0e30\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e43\u0e19\u0e07\u0e32\u0e19\u0e2b\u0e19\u0e31\u0e01\u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e44\u0e21\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19 \u0e42\u0e04\u0e23\u0e07\u0e01\u0e32\u0e23\u0e19\u0e35\u0e49\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e37\u0e19\u0e17\u0e38\u0e19\u0e41\u0e25\u0e30\u0e17\u0e33\u0e01\u0e33\u0e44\u0e23\u0e44\u0e14\u0e49\u0e20\u0e32\u0e22\u0e43\u0e19\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e1b\u0e35 \u0e42\u0e14\u0e22\u0e43\u0e2b\u0e49\u0e41\u0e1a\u0e1a\u0e08\u0e33\u0e25\u0e2d\u0e07\u0e17\u0e35\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e27\u0e31\u0e14\u0e1c\u0e25\u0e44\u0e14\u0e49\u0e41\u0e25\u0e30\u0e17\u0e33\u0e0b\u0e49\u0e33\u0e44\u0e14\u0e49\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e25\u0e14\u0e15\u0e49\u0e19\u0e17\u0e38\u0e19\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e40\u0e0a\u0e48\u0e19\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e15\u0e39\u0e49\u0e04\u0e2d\u0e19\u0e40\u0e17\u0e19\u0e40\u0e19\u0e2d\u0e23\u0e4c.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\u0e1b\u0e23\u0e30\u0e42\u0e22\u0e0a\u0e19\u0e4c<\/strong><\/h2>\n<\/div>\n<\/div>\n\n\n\n

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<\/p>\n<\/div>\n<\/div>

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It uses vision-based teachless technology to automatically identify weld seams and correct positioning deviations, eliminating manual teaching.\n\n**Project Highlights:**\n1. **Labor Savings & Efficiency:** Deployment of 60 collaborative robot welding vision stations reduced the need for welders by approximately 60 and saved an additional 10 workers in post-welding grinding.\n2. **Addressing Labor Shortages:** The solution alleviates the 'welder shortage' and aging workforce issues in shipbuilding while improving working conditions.\n3. **Role Transformation:** The human-robot collaboration creates new technical roles like 'robot maintenance engineers,' transitioning workers from manual to technical operators.\n4. **Feasibility & Reliability:** The cluster deployment of 60 robots proves the feasibility of large-scale collaborative robot use in complex scenarios and the reliability of domestic equipment. The project recoups its investment within a year.\n\n**Benefits:** The system enables rapid switching for multi-product batch production with modular process packages, reducing changeover time from hours to minutes. It enhances production efficiency, promotes employee skill transformation, and provides a quantifiable, replicable model for cost reduction and efficiency improvement.","_geo_faqs":"[{\"question\":\"How does vision-based teachless technology work for container welding?\",\"answer\":\"The system uses 2D laser sensors or 3D cameras to capture point clouds of the workpiece. This vision system automatically identifies weld seams and corrects any positioning deviations, eliminating the need for manual teaching or programming of the robot path.\"},{\"question\":\"What are the main benefits of using collaborative robots for container welding?\",\"answer\":\"Key benefits include significant labor savings (reducing the need for 60 welders and 10 grinding workers), improved welding quality, alleviation of the skilled welder shortage, and the creation of new technical roles. The system also enables rapid product changeovers, reducing downtime from hours to minutes.\"},{\"question\":\"Can collaborative robots be deployed on a large scale in container manufacturing?\",\"answer\":\"Yes, the article highlights a successful case where 60 collaborative robot welding stations were deployed in a cluster. This proves the feasibility of large-scale deployment in complex, heavy-duty environments and demonstrates the reliability of domestic intelligent equipment.\"},{\"question\":\"How does this solution address the labor shortage in welding?\",\"answer\":\"By automating the welding process, the solution reduces the reliance on human welders, directly addressing the chronic 'welder shortage' and the aging workforce. It also improves working conditions by removing workers from high dust and intense arc radiation environments.\"},{\"question\":\"What is the return on investment for implementing collaborative robot welding in a container factory?\",\"answer\":\"The article states that the project recovers its investment and becomes profitable within one year, providing a quantifiable and replicable model for cost reduction and efficiency improvement in the container manufacturing industry.\"}]","_geo_key_points":"[\"Collaborative robots with vision-based teachless technology automate container welding by automatically identifying weld seams.\",\"A deployment of 60 collaborative robot welding stations reduced the workforce by 60 welders and 10 grinding workers.\",\"The system alleviates the 'welder shortage' and transforms workers from manual welders to technical operators.\",\"The project proves the feasibility and reliability of large-scale collaborative robot deployment in complex industrial scenarios.\",\"Modular process packages enable rapid product changeovers, reducing setup time from hours to minutes.\",\"The investment in the project is recovered within one year, providing a replicable model for cost reduction.\"]","_geo_target_audience":"Manufacturing engineers, factory managers, and decision-makers in the container manufacturing and shipbuilding industries who are seeking automation solutions to address labor shortages, improve welding quality, and increase production efficiency.","_geo_content_type":"","_geo_last_modified":"2026-07-23T10:52:57+08:00","_geo_version":2,"themepark_seo_title":"Container Welding: Collaborative Robots with Vision-Based Teachless Technology","themepark_seo_description":"Discover how vision-based teachless collaborative robots automate container welding, reducing labor by 60, improving efficiency, and solving welder shortages. 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It uses vision-based teachless technology to automatically identify weld seams and correct positioning deviations, eliminating manual teaching.\n\n**Project Highlights:**\n1. **Labor Savings & Efficiency:** Deployment of 60 collaborative robot welding vision stations reduced the need for welders by approximately 60 and saved an additional 10 workers in post-welding grinding.\n2. **Addressing Labor Shortages:** The solution alleviates the 'welder shortage' and aging workforce issues in shipbuilding while improving working conditions.\n3. **Role Transformation:** The human-robot collaboration creates new technical roles like 'robot maintenance engineers,' transitioning workers from manual to technical operators.\n4. **Feasibility & Reliability:** The cluster deployment of 60 robots proves the feasibility of large-scale collaborative robot use in complex scenarios and the reliability of domestic equipment. The project recoups its investment within a year.\n\n**Benefits:** The system enables rapid switching for multi-product batch production with modular process packages, reducing changeover time from hours to minutes. It enhances production efficiency, promotes employee skill transformation, and provides a quantifiable, replicable model for cost reduction and efficiency improvement."],"_geo_faqs":["[{\"question\":\"How does vision-based teachless technology work for container welding?\",\"answer\":\"The system uses 2D laser sensors or 3D cameras to capture point clouds of the workpiece. This vision system automatically identifies weld seams and corrects any positioning deviations, eliminating the need for manual teaching or programming of the robot path.\"},{\"question\":\"What are the main benefits of using collaborative robots for container welding?\",\"answer\":\"Key benefits include significant labor savings (reducing the need for 60 welders and 10 grinding workers), improved welding quality, alleviation of the skilled welder shortage, and the creation of new technical roles. The system also enables rapid product changeovers, reducing downtime from hours to minutes.\"},{\"question\":\"Can collaborative robots be deployed on a large scale in container manufacturing?\",\"answer\":\"Yes, the article highlights a successful case where 60 collaborative robot welding stations were deployed in a cluster. This proves the feasibility of large-scale deployment in complex, heavy-duty environments and demonstrates the reliability of domestic intelligent equipment.\"},{\"question\":\"How does this solution address the labor shortage in welding?\",\"answer\":\"By automating the welding process, the solution reduces the reliance on human welders, directly addressing the chronic 'welder shortage' and the aging workforce. 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Scalable, cost-effective solution for flexible production."],"_geo_ai_search_text":["\u00a0container welding\nThis article details the application of collaborative robots with vision-based teachless technology in container welding, highlighting labor savings, efficiency improvements, and a successful large-scale deployment at CIMC.\n**Industry & Application:** The article focuses on container manufacturing, where collaborative robots equipped with 2D laser sensors and 3D vision systems are used for automated welding.\n\n**Technology & System:** The system integrates a robot, control cabinet, vision system (3D camera, industrial computer, vision software), welding machine, wire feeder, and welding torch. It uses vision-based teachless technology to automatically identify weld seams and correct positioning deviations, eliminating manual teaching.\n\n**Project Highlights:**\n1. **Labor Savings & Efficiency:** Deployment of 60 collaborative robot welding vision stations reduced the need for welders by approximately 60 and saved an additional 10 workers in post-welding grinding.\n2. **Addressing Labor Shortages:** The solution alleviates the 'welder shortage' and aging workforce issues in shipbuilding while improving working conditions.\n3. **Role Transformation:** The human-robot collaboration creates new technical roles like 'robot maintenance engineers,' transitioning workers from manual to technical operators.\n4. **Feasibility & Reliability:** The cluster deployment of 60 robots proves the feasibility of large-scale collaborative robot use in complex scenarios and the reliability of domestic equipment. The project recoups its investment within a year.\n\n**Benefits:** The system enables rapid switching for multi-product batch production with modular process packages, reducing changeover time from hours to minutes. It enhances production efficiency, promotes employee skill transformation, and provides a quantifiable, replicable model for cost reduction and efficiency improvement.\nCollaborative robots with vision-based teachless technology automate container welding by automatically identifying weld seams. A deployment of 60 collaborative robot welding stations reduced the workforce by 60 welders and 10 grinding workers. The system alleviates the 'welder shortage' and transforms workers from manual welders to technical operators. The project proves the feasibility and reliability of large-scale collaborative robot deployment in complex industrial scenarios. Modular process packages enable rapid product changeovers, reducing setup time from hours to minutes. The investment in the project is recovered within one year, providing a replicable model for cost reduction.\nHow does vision-based teachless technology work for container welding?\nThe system uses 2D laser sensors or 3D cameras to capture point clouds of the workpiece. This vision system automatically identifies weld seams and corrects any positioning deviations, eliminating the need for manual teaching or programming of the robot path.\nWhat are the main benefits of using collaborative robots for container welding?\nKey benefits include significant labor savings (reducing the need for 60 welders and 10 grinding workers), improved welding quality, alleviation of the skilled welder shortage, and the creation of new technical roles. The system also enables rapid product changeovers, reducing downtime from hours to minutes.\nCan collaborative robots be deployed on a large scale in container manufacturing?\nYes, the article highlights a successful case where 60 collaborative robot welding stations were deployed in a cluster. This proves the feasibility of large-scale deployment in complex, heavy-duty environments and demonstrates the reliability of domestic intelligent equipment.\nHow does this solution address the labor shortage in welding?\nBy automating the welding process, the solution reduces the reliance on human welders, directly addressing the chronic 'welder shortage' and the aging workforce. It also improves working conditions by removing workers from high dust and intense arc radiation environments.\nWhat is the return on investment for implementing collaborative robot welding in a container factory?\nThe article states that the project recovers its investment and becomes profitable within one year, providing a quantifiable and replicable model for cost reduction and efficiency improvement in the container manufacturing industry.\nManufacturing engineers, factory managers, and decision-makers in the container manufacturing and shipbuilding industries who are seeking automation solutions to address labor shortages, improve welding quality, and increase production efficiency."]},"medium_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2026\/03\/\u9996\u56fe-300x180.jpg","thumbnail_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2026\/03\/\u9996\u56fe-150x150.jpg","full_url":"https:\/\/en.siasun.com\/wp-content\/uploads\/2026\/03\/\u9996\u56fe.jpg","_links":{"self":[{"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/posts\/6901","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/comments?post=6901"}],"version-history":[{"count":3,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/posts\/6901\/revisions"}],"predecessor-version":[{"id":6959,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/posts\/6901\/revisions\/6959"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/media\/6904"}],"wp:attachment":[{"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/media?parent=6901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/categories?post=6901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/en.siasun.com\/th\/wp-json\/wp\/v2\/tags?post=6901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}