Agibot Expands Embodied AI Portfolio With Four New Products

Agibot unveiled four new embodied AI products at the World Artificial Intelligence Conference 2026 in Shanghai, expanding its portfolio beyond humanoid robots into industrial automation, research and dexterous manipulation.The launches include the full-size Agibot A3 Ultra humanoid, modular X2 EDU development platform, G2 Max industrial task robot and OmniHand 3 Ultra-M dexterous robotic hand.The product introductions come as the robotics industry increasingly looks to move from innovation to reliable, full-scale deployment across commercial and industrial environments.Agibot, one of the biggest robot makers in China, set up more than 30 robots at the conference last week, providing visitor guidance and information services, as well as live demonstrations. The company also showcased industrial applications cases and its manipulation foundation models.Taken together, the products mark Agibot's attempt to build a broader portfolio of embodied AI rather than relying on a single general-purpose humanoid platform.Related:Nvidia Broadens Physical AI Push With Robotics, Edge AI Updates“What Agibot is doing shows that the embodied AI market still requires innovations across the technology stack,” said Lian Jye-Su, an analyst at Omdia, a division of Informa TechTarget. “Agibot is taking an interesting approach by establishing [product lines]to address these innovations individually, which is a unique move among humanoid robotics vendors.”A Portfolio Approach to Embodied AIThe A3 Ultra is a full-size humanoid designed for commercial, service and other public-facing environments, powered by Nvidia's Jetson Thor platform. The robot can carry up to 5kg per arm and offers up to eight hours of combined operating time, according to Agibot.The company has not disclosed pricing or commercial availability for the new robot.The G2 Max takes a more specialized approach to physical AI. The force-controlled robot is designed for heavy-payload industrial applications, including material handling and palletizing.Meanwhile, the OmniHand 3 Ultra-M is designed to address the manipulation challenge facing increasingly capable robots. The direct-drive dexterous hand features 20 active degrees of freedom and vision-based tactile sensing, enabling it to integrate visual information with physical feedback during object interactions.X2 EDU is an open and modular humanoid development platform that provides researchers and developers with a means to develop and test embodied AI capabilities.Su said the shift from robot demonstrations to real operating environments is coming along only in specific applications.Related:Toyota Spin-Out Launches From Stealth With $300M“The biggest barrier is high-quality data,” he said. “The industry still lacks good data to train and fine-tune the robot to perform tasks accurately.”This challenge could become increasingly important as Agibot and its rivals attempt to scale beyond individual deployments.“It will take years for the industry to build up the repertoire of high-quality data across different industries,” Su added. “To achieve this, Agibot will need to partner with as many companies across the industry as possible to ensure they can serve all the different use cases.”The company’s latest product launch, therefore, reflects a broader question facing the embodied AI industry: whether increasingly capable hardware can be matched by the data, software and real-world operating experience required to make robots reliable at scale.“The industry should no longer judge embodied AI by whether a robot can complete an impressive demonstration once, but by whether it can be manufactured, delivered and integrated reliably into real operating environments,” Peng Zhihui, co-founder, president and CTO of Agibot, said in a release.About the AuthorContributing WriterScarlett Evans is a freelance writer with a focus on emerging technologies and the minerals industry. Previously, she served as assistant editor at IoT World Today, where she specialized in robotics and smart city technologies. Scarlett also has a background in the mining and resources sector, with experience at Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022 before transitioning to freelance work.