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
Backed by Menlo Ventures, BrainGrid tackles planning gaps as AI makes software building accessible to more founders.
Updated
April 1, 2026 8:37 AM

A phone screen with app icons. PHOTO: UNPSLASH
As artificial intelligence makes it easier to write code, a different problem is starting to surface. Building software is no longer limited by technical skill alone. Increasingly, the challenge lies in deciding what to build, how to structure it, and how to turn an idea into something that actually works.
That shift sits at the centre of BrainGrid, a startup that has raised $1 million in pre-seed funding led by Menlo Ventures, with participation from Next Tier Ventures and Brainstorm Ventures. The company is building what it describes as an AI-powered planning layer for people who want to create software but may not have a technical background.
The timing reflects a broader change in how products are being built. Tools like Claude Code and Cursor have made it possible to generate working code through simple prompts. For many first-time founders, this has lowered the barrier to entry. But writing code is only one part of the process. Turning that code into a reliable product requires structure, sequencing and clarity—areas where many projects begin to fall apart.
In traditional teams, this responsibility sits with product managers who define what needs to be built and in what order. Without that layer, even well-written code can lead to products that feel disjointed or incomplete. Features may not work together, integrations can break and the final product often does not match the original idea.
BrainGrid is designed to address that gap. Instead of focusing on generating code, it helps users map out the structure of a product before development begins. The aim is to give builders a clearer starting point so that the tools they use—whether human or AI—can produce more consistent results.
The company says more than 500 builders have already used it to create software products across areas like fitness, healthcare and productivity. These range from first-time founders experimenting with new ideas to experienced developers working independently. In many cases, the products are already live and generating revenue, suggesting that the demand is not just for experimentation but for building something that can scale.
For investors, the appeal lies in the evolving role of software development. As AI takes on more of the technical work, the value shifts toward defining the problem and structuring the solution. In that sense, planning becomes less of a background task and more of a core capability.
The US$1 million raise is relatively modest, but it points to a larger trend. As more people gain access to AI tools, the number of potential builders expands. What remains limited is the ability to organise ideas into products that work in the real world. If that shift continues, the next wave of software may not be defined by who can code, but by who can plan.