Great Wall Motors Unveils Multiple Robots at World Robot Conference: Planning 2027 Mass Production, Targeting 10 Billion Revenue by 2030
Sina Tech News, August 12th afternoon, Great Wall Motors' second-generation humanoid intelligent load-bearing robot GoMove, humanoid service robot GoSide, and third-generation humanoid intelligent robotic arm GoMate collectively unveiled at the 2025 World Robot Conference, showcasing Great Wall Motors' robots in healthcare, security, and other fields.
According to official messages from Great Wall Group, Great Wall Motors has already achieved independent design and manufacturing of core components such as robotic drivers, motors, and agile hands. In the first half of this year, it conducted demonstration applications for humanoid intelligent robots in healthcare and security scenarios, and plans to establish a global first-ever showcase zone for humanoid intelligent robots in Guangzhou by the end of the year. It aims to complete commercial model verification by 2026, launch large-scale production in 2027, and achieve revenue exceeding 10 billion by 2030.
Among them, the third-generation humanoid intelligent robotic arm GoMate, released at the end of 2024, boasts multiple leading industry design features. According to data, GoMate has an innovative variable wheel-foot structure that can simultaneously operate in two-wheel and four-wheel modes, making it adaptable to flat surfaces and staircase slopes, reducing energy consumption by over 80% compared to similar products, with a runtime of up to 6 hours. As the core components of humanoid robots, GoMove's self-developed driver weighs only 40 grams, with a volume reduced by 80% compared to industry averages, while the agile hand integrates visual and tactile sensors for precise grasping of various objects. The robot is equipped with self-developed pure vision autonomous driving algorithms, FIGS-SLAM architecture, cloud-based multimodal large models, AI sensory technology, enabling seamless switching between real-time response to complex instructions, remote control, and autonomous control.
Editor in charge: Guo Xixiong