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By AI, Created 11:47 AM UTC, May 20, 2026, /AGP/ – EXEED AiMOGA Robotics used Auto China 2026 in Beijing to showcase police, humanoid and quadruped robots built on EXEED’s manufacturing and supply-chain base. The company says the push is aimed at speeding vehicle-robot integration and broader deployment across public-safety and service scenarios.
Why it matters: - EXEED AiMOGA is trying to move robotics from demo use cases into larger real-world deployment. - The strategy links robots, vehicles and autonomous-driving technology into one ecosystem. - The effort could help EXEED extend beyond cars into embodied intelligence and service robots.
What happened: - Auto China 2026 opened in Beijing on April 28, 2026. - EXEED AiMOGA Robotics showed the Intelligent Police Robot, humanoid robot Mornine and quadruped robot Argos. - The booth drew more than 4,000 international business guests. - About 2,500 of those guests are expected to visit Wuhu, China, for deeper business talks. - The exhibition focused on vehicle-robot synergy and how intelligent robots can work inside the automotive ecosystem.
The details: - AiMOGA Robotics’ growth is built on more than two decades of EXEED experience in R&D and manufacturing. - The company points to strengths in R&D, supply chain, global networks and collaborative innovation. - AiMOGA says its mature R&D system and validation processes help move faster from concept to prototype. - The supply-chain setup is designed to shorten the path from lab research to mass production. - The global sales and service network supports overseas expansion. - AiMOGA has established 31 innovation laboratories across six technical fields. - Those labs cover embodied intelligence, perception algorithms, motion control and human-machine interaction. - The Intelligent Police Robot is already deployed in multiple Chinese cities. - Current use cases include school-zone traffic support, traffic guidance and event security duty. - The robot is in talks with more than 50 cities in China about possible cooperation. - The police robot uses multi-sensor fusion navigation and a traffic-management foundation model. - Its functions include intelligent patrols, violation recognition and signal coordination. - Argos has achieved engineering maturity and stable performance in scenarios. - AiMOGA says Argos delivered more than 1,000 units last year. - Argos is being used for home companionship, showroom performances and community security. - AiMOGA is reusing autonomous-driving-level environmental understanding in its robotics platform. - That setup enables centimeter-level positioning, dynamic obstacle avoidance and full-domain 3D perception. - AiMOGA also shares Chery’s three-electric system technologies. - The platform uses Chery’s solid-state battery technology for long-duration continuous operation. - On April 23, EXEED AiMOGA Robotics entered a global strategic partnership with NVIDIA. - The two sides plan to develop and deploy physical AI in assisted driving, cockpit AI and robotics. - AiMOGA is also building humanoid robots and other intelligent robot platforms based on NVIDIA Jetson. - The company is adding NVIDIA Isaac Sim and NVIDIA Isaac GR00T to create a pipeline from simulation training to real-world deployment.
Between the lines: - The presentation shows EXEED using its automotive platform as a launchpad for robotics, not treating robots as a side project. - The scale of the police-robot and quadruped deployments suggests AiMOGA is pushing for commercial credibility, not just prototype visibility. - The NVIDIA partnership signals that AiMOGA wants to align with a broader physical-AI stack, which could speed product development if the integration works as planned.
What’s next: - AiMOGA plans to keep expanding scenario-based product planning. - The company will continue using products to drive technology development. - EXEED aims to broaden vehicle-robot collaborative applications across more use cases and deployment settings. - The company expects intelligent robots to play a larger role in real-world service environments.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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