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Recently, Changcheng Auto, a leading Tier 1 supplier of automotive lamps in China, completed a company‑wide intelligent transformation. Topstar designed and delivered an integrated solution comprising 19 Cartesian robots, 35 dehumidifying dryers, nearly 200 mold temperature controllers, and a complete central material conveying pipeline system, helping Changcheng Auto fully automate its precision molding process for automotive lamps.

This is just one example of Topstar’s nearly decade‑long deep cultivation of the automotive industry.

According to the Automotive Industry Digital Transformation Implementation Plan jointly issued by four central ministries including the Ministry of Industry and Information Technology in 2025, by 2027 the CNC penetration rate for key processes in the automotive industry will exceed 70%, the普及率 of R&D design tools will surpass 95%, and overall labor productivity per employee will increase by 10% compared to 2025. By 2030, the industry will reach a relatively high level of digital and intelligent development, with deep integration of digitalization and business operations. In this wave of industrial upgrading, Topstar, leveraging its deep understanding of automotive manufacturing processes and continuous technological innovation, has forged a path from single‑equipment supply to multi‑domain coverage of smart manufacturing solutions, driving the digital and intelligent transformation of the automotive industry.

Eight Years of Deep Cultivation: From Point Breakthroughs to Full‑Chain Coverage

In fact, Topstar’s systematic accumulation in the automotive industry dates back to 2018. In 2018, Topstar fully acquired Yeda Intelligence, formally establishing the automotive sector as a key strategic focus. That same year, Topstar’s self‑developed equipment for automotive headliners, wrapping, and adhesive dispensing successfully replaced imports, breaking the long‑standing monopoly of international manufacturers in high‑end automotive interior equipment. This marked the beginning of cooperation with global top‑tier automotive parts suppliers such as Magna, Faway, and Adient. In the following year, Topstar successively entered the automotive fuel system and tailgate equipment markets, forming a complete product line covering four major areas: automotive interiors, exteriors, painting, and fuel systems.

In 2020, Topstar collaborated with MS to launch a new generation of servo‑driven ultrasonic welding equipment featuring the proprietary paralliCer technology. This equipment provides servo‑driven, precision‑controlled, faster, repeatable, and high‑quality welding of complex plastic components, ensuring consistent quality and improving operational efficiency.

In recent years, with the rapid development of artificial intelligence, Topstar – based on its deep industry insights and continuous understanding of customer scenarios – has deeply integrated AI into key automotive manufacturing processes. It has successfully overcome long‑standing challenges such as the sorting of irregular automotive parts and the intelligent handling of lithium‑battery cells for new energy vehicles.

Intelligent Sorting Technology for Irregular Automotive Parts: Breaking the “Shape Barrier”

Automotive parts include a large number of irregular components with surface characteristics such as high reflectivity and weak texture, making them difficult for conventional 2D/3D vision systems to recognize reliably. This has long forced reliance on manual sorting. Leveraging multi‑modal perception and VLA large model‑based intelligent decision‑making, Topstar has solved this industry problem. In practice, this technology is no longer constrained by the recognition difficulties posed by highly reflective or weakly textured parts. It achieves millimeter‑level positioning accuracy, increases grasping success rates to 95%, and reaches 70% of a skilled worker’s effective sorting volume. The solution is standard and replicable, requiring no reprogramming or parameter adjustment when deployed across different vehicle models or part types.

Intelligent Handling Technology for the Entire Line from Lithium Battery Powder to Battery Pack: Breakthroughs in Both Safety and Efficiency

Topstar offers SCARA robots, six‑axis industrial robots, and Cartesian robots, covering the full range of automated operations from battery cell handling, stacking, assembly, welding, inspection, to storage. It provides customized automated production line solutions that enable end‑to‑end intelligent and data‑driven management from injection‑molded part production to finished battery packs, forming a closed loop of “scenario + robot + data + MES/AI.”

The core challenge in handling lithium batteries is safety – collisions or compression can lead to thermal runaway incidents. Topstar’s solution adopts a mobile manipulation composite architecture: it integrates AGV autonomous navigation with precise robotic arm gripping, supplemented by vision positioning and force‑controlled compliance technology to achieve sub‑millisecond omnidirectional obstacle avoidance response. Handling speed is increased by 11% compared to conventional solutions. At the same time, a VLA embodied intelligence large model is deployed, enabling the robot to understand complex natural language commands and dynamically adjust its behavior, supporting flexible production of multiple battery types without frequent line changeovers. This solution has already been rolled out to several leading new energy companies, providing strong support for safe and efficient lithium battery production.

From a single Cartesian robot to whole‑plant integration; from door panel welding to self‑developed full‑process capabilities for automotive interior and exterior trim; from PLC‑based control to VLA large model‑driven operation – Topstar’s application in the automotive industry is entering a new phase: from “deep cultivation of single scenarios” to “multi‑scenario scaled deployment.” As the “Chain Master” enterprise of Guangdong Province’s smart robotics industry chain, Topstar will continue to adhere to the principle of “defining products with real‑world industrial scenarios,” further promoting the deep application of embodied intelligence technology in automotive manufacturing, and contributing to the intelligent upgrading of China’s automotive industry.