AGIBOT used its 2026 Partner Conference to lay out an ambitious vision for the next phase of robotics, unveiling a wave of new machines and AI models designed to move embodied intelligence from experimentation into large-scale real-world deployment.
AGIBOT introduced multiple robotic platforms and a suite of foundational AI systems built around what it calls a “One Robotic Body, Three Intelligences” architecture. The approach is aimed at unifying movement, task execution, and human interaction into a single, continuously learning system.
At the center of the announcement was a push to transform embodied AI from a showcase technology into practical infrastructure. Co-founder and CTO Peng Zhihui said, “Embodied intelligence is no longer a concept, it is becoming a new form of productive infrastructure. We are moving embodied intelligence from laboratory curiosity to production-line reality, enabling robots to truly integrate into human workflows and create measurable value across major scenarios.”
AGIBOT’s hardware lineup reflects that shift. The company revealed a new generation of humanoid and mobile robots designed for a range of use cases, from entertainment and retail to industrial operations and field work. Among them is the A3 humanoid robot, built for interactive environments and large-scale coordinated deployments, and the G2 Air, a compact mobile manipulator designed to work alongside humans in logistics, hospitality, and light industrial settings.
The company also showcased advances in robotic dexterity with its OmniHand 3 series, which is designed to replicate human-level manipulation across complex tasks, and introduced the D2 Max, an autonomous quadruped robot built for demanding environments such as inspection, security, and emergency response. Alongside these machines, AGIBOT unveiled a new data collection system that allows human operators to capture training data without relying on full robotic setups, lowering the cost and complexity of scaling AI systems.
On the software side, AGIBOT announced eight foundational AI models that power its robotics platform. These models are divided into three core areas: locomotion, manipulation, and interaction. Together, they enable robots to move fluidly, perform complex tasks over extended periods, and interact naturally with humans through multimodal inputs like vision, audio, and language.
The company emphasized that these systems are designed to work as a closed loop, combining real-world data, simulation, and continuous learning. By doing so, AGIBOT aims to create robots that improve over time as they are deployed, rather than remaining static after initial programming.
To support broader adoption, AGIBOT is also expanding its development ecosystem with tools and platforms that allow partners to build, train, and deploy robotic applications more easily. This includes operating systems for embodied AI, simulation environments, and no-code tools for creating robot behaviors.
AGIBOT says it already has hundreds of robots deployed across various projects and is working with partners to expand into areas such as industrial handling, logistics, retail services, and security. The company positions its latest releases as part of a broader transition in robotics, where embodied AI becomes a foundational layer of productivity, similar to how software and cloud computing reshaped earlier waves of technology.
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