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Honor Unveils Humanoid Robot and Robot Phone with Moving Camera at MWC 2026

Honor showcases its first humanoid robot and Robot Phone concept with a motorized 200MP camera, signaling a major push toward embodied AI devices.

Honor unveiled its first humanoid robot and a smartphone with a robotic camera.

In addition to traditional mobile devices, Honor introduced the Robot Phone concept smartphone and its first anthropomorphic robot at MWC 2026. Both projects share the idea that artificial intelligence should not only “live” within the interface but also manifest physically.

The Robot Phone is a smartphone with a built-in robotic arm. Unlike conventional models, where the camera remains static, it uses an ultra-compact four-axis actuator and a micromotor, allowing the module with an integrated 200 MP photo sensor to rotate and tilt.

The smartphone supports intelligent object tracking, motion stabilization for video shooting, and automatic 90° or 180° rotation modes for creating more complex video transitions. This eliminates the need for bulky additional equipment for professional filming.

Integrating the mechanics into the body required a major redesign—engineers were tasked with maintaining the device’s durability and acceptable weight. The company claims it used new materials and reliability testing to ensure the motorized system can withstand everyday use. However, this remains a prototype, and a commercial launch is not currently planned.

Honor also unveiled its first anthropomorphic robot. The vendor outlined three main use cases: shopping assistance, workplace support, and communication.

Honor hopes to leverage its experience in developing smartphones and wearable electronics to create more user-friendly consumer-grade robots.

Both projects are being developed under the Alpha Plan strategy launched a year ago. It includes the Alpha Phone, Alpha Store, and Alpha Lab segments and envisions a gradual transition from classic consumer electronics to devices with embodied AI. The company believes that now that algorithms can recognize voice and images, the next step is physical interaction.

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