AGIBOT

Deng Taihua is the founder, chairman and CEO of AGIBOT. The company’s leadership page identifies him as founder and CEO, alongside co-founder Peng Zhihui as President and CTO. AI-first architecture: Deng describes AGIBOT as an embodied-intelligence foundation-model company that develops the robotic body as the physical carrier for AI. “One Body + Three Intelligences”: AGIBOT integrates the robot body with locomotion, interaction and manipulation intelligence. Modular hardware + software: The company describes its technology architecture as modular hardware and componentized software, combining self-development with external supply-chain capabilities. Scale as a technical capability: Deng has emphasized that mass production is itself a major technical and organizational challenge for humanoid robotics, requiring engineering, procurement, supply-chain, quality-control and logistics capabilities to work together. Deployment-oriented strategy: AGIBOT increasingly frames the next challenge not simply as making robots capable, but as enabling repeatable deployment across real production and service environments.

AGIBOT’s customer evidence is increasingly centered on real-world industrial deployment, rather than demonstrations alone. Its ecosystem covers manufacturing, logistics, energy and service industries, with standardized deployment packages intended to make solutions more repeatable across sites. Omdia reported more than 5,100 AGIBOT humanoid shipments in 2025 and an estimated 39% global share. Counterpoint Research ranked AGIBOT first globally in 2025 humanoid installations. These are third-party market estimates, not audited financial disclosures.

Client: Shanghai Longcheer Technology Location: Nanchang, Jiangxi Robot: AGIBOT G2 Industry: Consumer electronics / 3C manufacturing AGIBOT and Longcheer Technology developed a joint deployment in which G2 wheeled dual-arm robots were integrated into a live tablet production line, performing repetitive handling and testing-related operations alongside human workers. Application Picking tablets from the production line; placing tablets into testing fixtures; communicating with testing equipment; removing tested products; sorting finished and defective products; and moving products between workstations. Evidence of operation Longcheer reported that the robot had accumulated more than 200 hours of continuous operation, averaging more than 10 hours per day, with downtime loss of 4% at the time of its April 2026 disclosure. AGIBOT subsequently reported a six-day factory validation involving eight G2 robots, more than 64 hours of operation, 64,828 production-line tasks and a reported 99.99% task-success rate. These figures are company-reported. Why this case matters The deployment demonstrates integration with an existing industrial workflow, not simply humanoid movement. It combines perception → decision-making → manipulation → interaction with production equipment → task execution → real-world data collection → model improvement. Longcheer provides customer-side evidence, making this stronger than a purely AGIBOT-reported demonstration. Important caveat The throughput, success rate and continuous-operation figures are reported by AGIBOT and/or Longcheer and should not be treated as independently audited industrial KPIs.