First love robot (Guangdong) Co., Ltd.

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Guangdong Jingliangde Robot Co., Ltd

🇨🇳 China
2022
11-50 people
Manufacturer
ODM manufacturer
Low MOQ
OEM manufacturer
Description
Guangdong Jingliangde Robot Co., Ltd, established in 2022 and based in Zhongshan, Guangdong Province, China, is a manufacturer specializing in the design, research and development, manufacturing, and sales of a diverse range of robots. With 11 to 50 employees, the company operates as a contract manufacturer and OEM provider, focusing on medical, household, educational, and commercial robotics. Their product portfolio includes Apitherapy Health Robots, Early Learning Robots, Tutoring Robots, Dancing and Singing Robots, Glass Cleaning Robots, Sweeping Robots, Meal Delivery and Ordering Robots, Service Guidance Robots, Office Projection Robots, Elderly Companion Robots, and King Kong Robots. The company emphasizes scientific management methods and strong technical capabilities to meet market demands, with a commitment to quality and service.
Healing Robot$1050

Guangdong Aijier Robot Technology Co., Ltd.

🇨🇳 China
2023
Fewer than 5 people
Manufacturer/Service Company
Low MOQ
Description
Guangdong Aijier Robot Technology Co., Ltd. is a manufacturer and service company based in Dongguan, China, specializing in advanced mobile operating robots. Established in 2023, the company focuses on liberating frontline workers by providing solutions for simple, repetitive, high-precision, and intensive tasks, particularly in environments harmful to human health. Their product portfolio includes Composite Robots, Autonomous Mobile Robots, Handling Robots, Mobile Composite Robots, Omnidirectional Platforms, Robot Visual Guidance Systems, Cooperative Robot Stations with automatic robotic arms, and AGV Trolleys. These robots are designed with features like induction radar and four-wheel independent steering drive to adapt to complex environments. Guangdong Aijier Robot Technology Co., Ltd. aims to enable flexible and digital production, contributing to the development of smart factories through integration with digital twin systems, visual inspection systems, and production scheduling systems.
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