A smartphone that moves, tracks and responds in real time—but is it real utility or just a marketing gimmick?
Updated
April 15, 2026 6:00 PM

HONOR Robot Phone, with its camera arm extended. PHOTO: HONOR
Smartphones today feel more familiar than new. Each year brings better performance and better cameras, but fewer real surprises. So when a company unveils something called a “Robot Phone”, it’s bound to get attention.
HONOR did exactly that at the Mobile World Congress (MWC) in Barcelona this year. While most smartphone brands are focused on software upgrades, HONOR is trying something different with hardware. Its Robot Phone is built to move and adjust on its own. The camera sits on a motorized system that can tilt, track motion and shift angles automatically. It almost looks like a small robotic head, following whatever is happening in front of it. It can pick up sound, recognize motion and stay visually aware of its surroundings. This result feels less like using a regular phone and more like interacting with something responsive.
So what makes HONOR’s Robot Phone different from the smartphones we already use? Here’s a closer look at its camera system, AI features and design, and whether it is truly something new or simply smart marketing.
At its core, the Robot Phone still works like a regular smartphone. What makes it different is the camera system. It has a 200MP camera that sits on a motorized arm with a three-axis gimbal, which extends when in use and folds back into the phone when not needed. The compact motor gives the camera physical movement, while motion control allows it to sense, track and follow a person or object in real time. That means it can keep a subject in frame without constant manual adjustment.
The camera also adds a more playful side to the experience. It can respond with simple gestures, such as nodding or shaking its head, and it can even move in sync with music.
This setup could be particularly useful for content creators. As CNET tech journalist and YouTuber Andrew Lanxon pointed out, it removes the need to carry a separate gimbal. Since the robotic camera module can easily fold into the body of the phone, it is easier to carry around and more convenient for filming or taking photos on the go.
The Robot Phone also has the practical advantage of a smartphone display. It gives users a bigger screen than a standalone camera for framing, monitoring and reviewing footage. Since it runs on Android, the process of recording, editing and sharing content is also more direct.
The most impressive part of the HONOR Robot Phone design is how it fits a moving camera system into the body of a smartphone without needing external attachments.
To make this possible, HONOR uses a custom micro motor that is 70% smaller than mainstream competitors. The company also says it is the industry’s smallest four-degrees-of-freedom (4DoF) gimbal system. To support the stable movement of the camera module, the internal structure uses high-strength materials such as steel and titanium alloy. These materials help the mechanism stay durable as it shifts and repositions over time.
Battery life is another obvious question. HONOR has not revealed the battery capacity of the Robot Phone itself, but it did showcase its Silicon-Carbon Blade Battery technology at MWC 2026. The company says this battery is designed to increase energy density while keeping devices slim, and that it could support capacities of 7,000 mAh and beyond in future foldable devices.
That is not specific to the Robot Phone, but it does hint at the kind of battery improvements that may be needed for smartphones with moving parts and more advanced camera systems.
The AI features in Honor’s Robot Phone are focused on how the device sees and responds to its surroundings in real time. At the most basic level, the phone can track what is happening in a scene and adjust itself without constant user input.
On the functional side, the system keeps subjects framed and in focus automatically. Its AI Object Tracking ensures subjects stay centred, while AI SpinShot enables controlled 90° and 180° rotations for smoother transitions, even when the phone is used one-handed. It can also detect motion and recognize sound, which lets it respond to activity as it happens instead of reacting frame by frame.
The AI becomes more noticeable in the way the device behaves. When activated, the camera module unfolds and the screen displays a pair of animated eyes that track the user’s face and gaze. Honor calls this “embodied AI”, meaning the assistant expresses itself through movement rather than only voice or text. The camera module can adjust its angle during video calls, which makes it feel a little more physically present.
According to Thomas Bai, AI product expert at Honor, the goal is to move beyond passive assistance. By combining sensing, movement and real-time processing, the device is designed to interact with its environment in a more continuous way. In practice, that could mean interpreting its surroundings and responding as situations change, such as when someone is moving through an unfamiliar space.
The Robot Phone has sparked curiosity, but there is still a lot we do not know. For one thing, it is still a prototype, with a release expected later this year. Early signs also suggest it may be expensive, partly because of rising memory chip costs. Some of its more playful features also feel uncertain. In demos, the phone can move along to music, but with only a handful of pre-set tracks, it is hard to tell whether that feature will be genuinely useful or remain more of a showcase moment.
Then there are the practical questions. A motorized camera system could make the phone heavier and more top-heavy, which may affect comfort during daily use. Running a motor alongside continuous AI tracking will also likely put pressure on battery life. These are not dealbreakers, but they are trade-offs that will matter outside of a demo.
Privacy is another concern that is hard to overlook. Some of the AI features rely on cloud processing, which means certain data is sent to external servers instead of being processed fully on the device. That is common in many AI systems today, but it feels more significant here because the phone is built to actively track movement and reposition its camera in real time. For some people, that level of autonomy may feel intrusive rather than helpful. It also raises bigger questions about what sensors are built into the device and how much data they collect during everyday use.
So, is the HONOR Robot Phone a real step forward, or just a clever idea packaged well?
The answer depends on who it is for.
For content creators, the appeal is obvious. Early indications suggest it could make video capture easier by reducing the need for extra gear. Honor’s collaboration with cinema camera company ARRI also suggests a serious push toward more cinematic smartphone footage.
For everyone else, the value is less clear. Outside of content creation, it is still hard to see how these features would translate into everyday use in a meaningful way.
For now, the Robot Phone sits somewhere between promise and experiment. Whether it turns into a genuinely useful new kind of smartphone or fades away as a novelty will only become clear once it moves beyond controlled demos and into real life.
Keep Reading
Why investors are backing Applied Brain Research’s on-device voice AI approach.
Updated
January 28, 2026 5:53 PM

Plastic model of a human's brain. PHOTO: UNSPLASH
Applied Brain Research (ABR), a Canada-based startup, has closed its seed funding round to advance its work in “on-device voice AI”. The round was led by Two Small Fish Ventures, with its general partner Eva Lau joining ABR’s board, reflecting investor confidence in the company’s technical direction and market focus.
The round was oversubscribed, meaning more investors wanted to participate than the company had planned for. That response reflects growing interest in technologies that reduce reliance on cloud-based AI systems.
ABR is focused on a clear problem in voice-enabled products today. Most voice features depend on cloud servers to process speech, which can cause delays, increase costs, raise privacy concerns and limit performance on devices with small batteries or limited computing power.
ABR’s approach is built around keeping voice AI fully on-device. Instead of relying on cloud connectivity, its technology allows devices to process speech locally, enabling faster responses and more predictable performance while reducing data exposure.
Central to this approach is the company’s TSP1 chip, a processor designed specifically for handling time-based data such as speech. Built for real-time voice processing at the edge, TSP1 allows tasks like speech recognition and text-to-speech to run on smaller, power-constrained devices.
This specialization is particularly relevant as voice interfaces become more common across emerging products. Many edge devices such as wearables or mobile robotics cannot support traditional voice AI systems without compromising battery life or responsiveness. The TSP1 addresses this limitation by enabling these capabilities at significantly lower power levels than conventional alternatives. According to the company, full speech-to-text and text-to-speech can run at under 30 milliwatts of power, which is roughly 10 to 100 times lower than many existing alternatives. This level of efficiency makes advanced voice interaction feasible on devices where power consumption has long been a limiting factor.
That efficiency makes the technology applicable across a wide range of use cases. In augmented reality glasses, it supports responsive, hands-free voice control. In robotics, it enables real-time voice interaction without cloud latency or ongoing service costs. For wearables, it expands voice functionality without severely impacting battery life. In medical devices, it allows on-device inference while keeping sensitive data local. And in automotive systems, it enables consistent voice experiences regardless of network availability.
For investors, this combination of timing and technology is what stands out. Voice interfaces are becoming more common, while reliance on cloud infrastructure is increasingly seen as a limitation rather than a strength. ABR sits at the intersection of those two shifts.
With fresh funding in place, ABR is now working with partners across AR, robotics, healthcare, automotive and wearables to bring that future closer. For startup watchers, it’s a reminder that some of the most meaningful AI advances aren’t about bigger models but about making intelligence fit where it actually needs to live.