HMND 01 Alpha: A Comprehensive Research Summary

Company Background: Humanoid UK

Humanoid UK is a pioneering AI and robotics company based in the United Kingdom, with additional offices in the United States and Canada. Founded by Artem Sokolov, the company’s mission is to empower humanity by building reliable, safe, and helpful humanoid robots. Sokolov’s inspiration stemmed from observing the repetitive and monotonous work of his grandparents, leading him to believe that robots could free people from such tasks, allowing them to engage in more creative and meaningful work.

Humanoid UK aims to address the global workforce crisis, characterized by decreasing and aging workforces and a move away from undesirable, unsafe, and repetitive jobs. The company emphasizes the versatility of the human form for robots, arguing that the world is already designed for humans, making it well-suited to humanoids. They also highlight the advantage of having more data to train humanoid robots, given their human-like body shape. Humanoid UK strategically focuses on labor-intensive operations that current automation technologies cannot effectively address, targeting sectors such as retail, e-commerce, third-party logistics (3PL), manufacturing, and automotive.

Robot History and Development Timeline

The HMND 01 Alpha is Humanoid UK’s flagship humanoid robot. The development of the HMND 01 Alpha has been notably rapid. The bipedal version was built in five months and achieved stable walking after only two days of training. The wheeled version, HMND 01 Alpha Wheeled, was also developed quickly, showcasing the company’s efficient development cycle. Recent news from 2025 and 2026 highlights significant milestones: in September 2025, Humanoid unveiled its first robot for industrial use.

In December 2025, a Humanoid robot reportedly learned to walk in two days. January 2026 saw several announcements, including Siemens logistics trials and Schaeffler’s plan to deploy hundreds of Humanoid robots in its factories. The HMND 01 Alpha Wheeled also made its North American debut at CES 2026, demonstrating autonomous bin picking.

Key Technical Specifications

The HMND 01 Alpha is available in two primary configurations: Bipedal and Wheeled. Both versions share a common AI and software stack, KinetIQ, and similar end-effector capabilities.

Feature	HMND 01 Alpha Bipedal	HMND 01 Alpha Wheeled
Weight	90 kg (198 lbs)	300 kg (661 lbs)
Height	179 cm (5’10’’)	220 cm (7’3’’)
Degrees of Freedom	29 (excluding end-effectors)	29 (excluding end-effectors)
Max Speed	1.5 m/s (5.4 km/h)	2 m/s (7.2 km/h)
Average Run Time	3 hours	4 hours
Payload	15 kg (33 lbs)	15 kg (33 lbs)
Sensors	RGB cameras, depth sensors, 6D F/T sensors, haptic feedback	RGB cameras, depth sensors, 6D F/T sensors, haptic feedback

AI/Software Stack: KinetIQ

Humanoid’s AI framework, KinetIQ, is designed for the orchestration of humanoid robot fleets across wheeled and bipedal platforms. KinetIQ is structured in a four-layer cognitive hierarchy:

System 3: Coordinates multiple robots for fleet-level goals, operating on timescales of seconds to minutes and beyond.
System 2: Coordinates actions of a single robot, achieving high-level goals set by System 3, operating on timescales from seconds to minutes.
System 1: A VLA-based locomanipulation neural network that translates natural language goals from System 2 into target poses for robot frames (e.g., end effectors, torso, pelvis). Runs at 10Hz.
System 0: A whole-body controller that executes target poses from System 1 while maintaining stability, physical feasibility, and robustness. Runs at 50Hz and interfaces directly with robot hardware. It includes a hybrid control system with a shared upper-body inverse kinematics (IK) controller and a lower-body reinforcement-learning (RL) locomotion policy.

The AI is powered by NVIDIA processing, enabling end-to-end reasoning and skills. The modular architecture enables clean reasoning, testing, and rapid development, which are crucial for commercialization.

Real-World Deployments or Pilots

Humanoid UK is actively pursuing real-world deployments. Notable mentions include: a live Siemens logistics trial in which the robot completed tasks at 60 totes per hour, and Schaeffler’s commitment to deploying hundreds of Humanoid robots in its factories. The HMND 01 Alpha Wheeled demonstrated autonomous bin picking in a factory-style demo at CES 2026. These deployments primarily focus on industrial applications such as goods handling, picking & packing, and kitting & part handling for manufacturing.

Pricing (if known)

Specific pricing information for the HMND 01 Alpha is not publicly available on Humanoid UK’s website. The company offers an early access program, suggesting that pricing may be determined on a case-by-case basis for industrial partners.

Notable Achievements

Humanoid UK has achieved several significant milestones with the HMND 01 Alpha:

Rapid Development: The bipedal version was developed in five months and learned to walk stably in just two days. The wheeled version also boasts a short development cycle.
Industrial Deployment: Successful trials and planned deployments with major industrial partners like Siemens and Schaeffler demonstrate the robot’s readiness for real-world applications.
CES 2026 Debut: The HMND 01 Alpha Wheeled showcased autonomous bin picking, highlighting its advanced capabilities.
KinetIQ AI Framework: The development of the KinetIQ AI stack, with its layered cognitive hierarchy, represents a significant advancement in humanoid robot control and orchestration.

Criticisms or Limitations

While the HMND 01 Alpha shows promising capabilities, potential criticisms or limitations, based on general challenges in humanoid robotics and the provided information, could include:

Cost: Although not publicly disclosed, advanced humanoid robots typically entail a high upfront investment, which could be a barrier for some businesses.
Dexterity and Nuance: While designed for precision, its dexterity for highly nuanced or unpredictable tasks, compared to human capabilities, remains to be fully evaluated across diverse real-world scenarios.
Energy Consumption and Run Time: The average run times of 3-4 hours, while competitive, may require frequent recharging or battery swapping for continuous operation in some industrial settings.
Adaptability to Unstructured Environments: While the company emphasizes seamless integration into human-designed environments, the true adaptability to highly unstructured or rapidly changing environments, beyond controlled industrial settings, is an ongoing challenge for all humanoid robots.

Future Roadmap

Humanoid UK envisions a future where its robots amplify human potential, addressing labor shortages and enhancing human well-being. Their long-term vision, as outlined in their About Us page, includes a phased approach:

2027 — Physical tasks: Robots will focus on transforming manual work in manufacturing, warehousing, logistics, and retail, tackling repetitive, dangerous, and tedious tasks.
2029 – Service: Humanoid robots will play a critical role in the service sector workforce, addressing the needs of an aging global population.
2031 – Households: Robots are projected to revolutionize everyday life, managing routine chores as assistants and providing home care as companions.

Humanoid UK is committed to continuous development, leveraging advancements in generative AI, large language models (LLMs), and multi-modal models (MMMs) to enhance robot learning through observation and imitation. They also aim to foster collective intelligence by enabling robots to share knowledge through neural networks and cloud platforms, accelerating technological advancements.

HMND 01 Alpha