Agibot: Three Lines, Three Worlds

While most companies at CES 2026 were showing off a single model, Agibot brought three. And each line has a clearly defined audience. The A2 Series consists of life-sized humanoid robots designed for corporate environments — they guide visitors through showrooms, assist during presentations, and handle human interaction at a professional level. Imagine a receptionist who never gets tired and remembers every client.

The X2 Series is aimed at entertainment, research, and education. You can rent a robot from this line for a concert, corporate party, or birthday celebration — it can dance, pose for selfies, and mimic TikTok moves. Yes, you read that correctly — a robot that dances with you at a party is no longer science fiction.

The third line, G2 Series, is designed for factories and logistics centers. Instead of legs, it has wheels, which according to company representatives significantly saves battery life and makes more sense on the flat surfaces of production halls than bipedal walking. A practical decision that shows Agibot is thinking about real-world deployment, not just technology demos.

Number One in Deliveries — and Not Just on Paper

Agibot is not a garage startup. The company was founded in 2023 in Shanghai by Peng Zhihui, a renowned engineer and former Huawei technologist, with a vision of building universal robots for the age of advanced AI. And the numbers back him up. According to analytics firm Omdia, Agibot became the global leader in B2B humanoid robot deliveries for 2025. In June 2026, the company announced that its factory had shipped its 15,000th humanoid robot — a figure that no Western competitor even comes close to.

For comparison: Tesla Optimus is still in the early stages of deployment, Figure AI focuses primarily on logistics, and Boston Dynamics remains more of a research lab with exceptional mechanics but no mass production. Meanwhile, Agibot is running at full speed — with its own ecosystem that connects hardware, AI models, and data infrastructure into a single closed loop. The robot learns on the job, and every deployed machine contributes to improving the entire fleet.

Unitree G1 and EngineAI T800: Robots in the Ring

If Agibot bet on professionalism, Unitree and EngineAI took the path of spectacle. The Unitree G1 literally fought at CES 2026. Two humanoid robots squared off in a boxing ring right on the exhibition floor in Las Vegas. The bout was admittedly more clunky than impressive, but it proved one crucial thing: humanoid robots today can perform movements that were unthinkable just a few years ago. They are stable, coordinated, and — crucially for industrial use — able to maintain balance even under dynamic impacts. The Unitree G1 is also already commercially available, meaning you too can buy a humanoid robot in 2026.

EngineAI T800 went even further. This robot uses an innovative architecture of joint modules with high torque, enabling it to perform movements inspired by martial arts. And yes — in a video that went viral, the robot kicked its own CEO. With enough force to knock a person to the ground. This is not a toy, but a serious demonstration of how far robotic motor skills have come.

SharpaWave: The Hand That Thinks

The well-established company Sharpa showed off its humanoid robot at CES 2026 with something most competitors still lack: a humanly precise hand. The SharpaWave robot features a mechanical limb with 22 active degrees of freedom — a technical way of saying it can move almost as delicately and variably as a human hand. At the company's booth, the robot folded a paper pinwheel, dealt blackjack, photographed visitors, and manipulated small objects.

The movements weren't lightning-fast — the robot visibly "thought" before each action, checking its position — but it's that very precision that is groundbreaking. Why does this matter? Because we don't build humanoid robots just to look like people. We build them this way because the world around us is designed for the human body — door handles, tools, controls, stairs. For a robot to work in our environment, it needs hands that can handle it. SharpaWave shows that this boundary is rapidly shifting.

What This Means for Europe and the Czech Republic

While China and the US are racing to deploy humanoid robots, Europe — and with it the Czech Republic — is largely watching from the sidelines. None of the robots mentioned above currently have official European distribution, and Czech localization is completely out of the question for now. Agibot is expanding into Asia-Pacific (partnerships with NCS and Huazhi Tiancheng), holding partner conferences in Shanghai and London, but its primary markets remain in China.

On the other hand — the EU AI Act, which has come into force, establishes the strictest regulatory framework for AI and robotics in the world. For European companies, this means a barrier but also an opportunity: if they can build robots that comply with European safety and transparency standards, they will gain a competitive advantage in one of the largest markets on the planet. Czech technology companies and universities (such as CTU's Faculty of Electrical Engineering or BUT in Brno) are already involved in robotics, but we are at least several years away from mass deployment of humanoids in Czech factories.

Data, Not Hardware: The Real Robotics Battleground

If there is one lesson to take away from CES 2026, it's this: the humanoid robotics race won't be won with better motors or more durable joints. It will be won with data. Agibot understands this and is investing massively in infrastructure that allows robots to learn directly from real-world operations. Every deployed robot generates data that flows back into the training cycle. It's the same principle that drives the success of large language models — only here we're not talking about text, but about physical interaction with the world.

Sharpa, Unitree, and EngineAI showcase individual technological peaks — precise hands, dynamic stability, combat abilities. Meanwhile, Agibot is building a complete ecosystem in which hardware, software, and data form one interconnected whole. And that is a strategy that could define the next decade of robotics.