Release
Dec 2, 2025
Price
Price TBA
Connectivity
0
Status
Development
Height
179 cm (5 ft 10 in)
Weight
90 kg (198 lb)
Battery
3 hours average runtime
Speed
1.5 m/s (5.4 km/h)
Payload
15 kg (33 lb)
HMND 01 Alpha Bipedal is Humanoid's legged Alpha configuration, a full-size humanoid platform built around the same modular upper body and KinetIQ AI stack as the company's wheeled Alpha robot. Official product materials list a 179 cm, 90 kg body with 29 degrees of freedom excluding end-effectors, a 15 kg payload, 3-hour average runtime, RGB and depth vision, force/torque sensing, haptics, and interchangeable hands or grippers. Humanoid says the robot was built in five months and walked stably after two days of training, with locomotion demonstrations covering curved walking, sidestepping, backward walking, squat walking, hopping, running, and omnidirectional push recovery. Public pricing and broad commercial availability have not been disclosed, so this should be treated as a development-stage humanoid platform for industrial, logistics, and service-environment work rather than a retail home robot.
Listed price
Price TBA
Humanoid has not published public pricing or general customer availability for the Alpha Bipedal configuration.
Release window
Dec 2, 2025
Current status
Development
Humanoid
Last verified
Jun 8, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind HMND 01 Alpha Bipedal.
Height
179 cm (5 ft 10 in)
Weight
90 kg (198 lb)
Battery Life
3 hours average runtime
Charging Time
Not officially disclosed
Max Speed
1.5 m/s (5.4 km/h)
Payload
15 kg (33 lb)
Operational profile
Capabilities
12
Connectivity
0
Key capabilities
Ecosystem fit
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The HMND 01 Alpha Bipedal is a Humanoid robot built by Humanoid. HMND 01 Alpha Bipedal is Humanoid's legged Alpha configuration, a full-size humanoid platform built around the same modular upper body and KinetIQ AI stack as the company's wheeled Alpha robot. Official product materials list a 179 cm, 90 kg body with 29 degrees of freedom excluding end-effectors, a 15 kg payload, 3-hour average runtime, RGB and depth vision, force/torque sensing, haptics, and interchangeable hands or grippers. Humanoid says the robot was built in five months and walked stably after two days of training, with locomotion demonstrations covering curved walking, sidestepping, backward walking, squat walking, hopping, running, and omnidirectional push recovery. Public pricing and broad commercial availability have not been disclosed, so this should be treated as a development-stage humanoid platform for industrial, logistics, and service-environment work rather than a retail home robot.
Pricing has not been publicly disclosed — typical for robots still in development. See all Humanoid robots on the Humanoid page.
Detailed specifications for the HMND 01 Alpha Bipedal
Height
179 cm (5 ft 10 in)At 179 cm (5 ft 10 in), the HMND 01 Alpha Bipedal is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
90 kg (198 lb)Weighing 90 kg (198 lb), the HMND 01 Alpha Bipedal needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Battery Life
3 hours average runtimeWith a battery life of 3 hours average runtime, the HMND 01 Alpha Bipedal can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Maximum Speed
1.5 m/s (5.4 km/h)A top speed of 1.5 m/s (5.4 km/h) approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
15 kg (33 lb)A payload capacity of 15 kg (33 lb) determines what the robot can carry or manipulate. This is a critical spec for manipulation tasks, determining what objects the robot can lift, carry, and work with.
AI Platform
End-to-end reasoning and skills powered by NVIDIA processing through Humanoid's KinetIQ VLM/VLA frameworkThe HMND 01 Alpha Bipedal uses End-to-end reasoning and skills powered by NVIDIA processing through Humanoid's KinetIQ VLM/VLA framework as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
The HMND 01 Alpha Bipedal integrates 8 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the HMND 01 Alpha Bipedal to perceive its 3D environment, recognize objects and people, navigate complex spaces, and perform precise manipulation tasks. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Humanoid robots are designed for environments built for humans — warehouses, factories, healthcare facilities, and eventually homes. Their bipedal form allows them to navigate stairs, doorways, and workspaces designed for human bodies without requiring environmental modifications.
The HMND 01 Alpha Bipedal offers 12 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 8 onboard sensor types and End-to-end reasoning and skills powered by NVIDIA processing through Humanoid's KinetIQ VLM/VLA framework AI platform to deliver practical, real-world performance.
The HMND 01 Alpha Bipedal integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the HMND 01 Alpha Bipedal to work as part of a broader automation setup rather than operating in isolation.
12
Capabilities
8
Sensor Types
AI
End-to-end reasoning and ski…
The HMND 01 Alpha Bipedal by Humanoid integrates 9 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 179 cm (5 ft 10 in), a weight of 90 kg (198 lb), a top speed of 1.5 m/s (5.4 km/h), providing the foundation on which this technology stack operates.
The perception layer is built on Head 360° RGB cameras, 2 depth sensors, 6-microphone array, Head display, LEDs, and speakers, 6D force/torque sensors, Wrist RGB cameras, End-effector force/torque sensors, Haptic feedback sensors. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
End-to-end reasoning and skills powered by NVIDIA processing through Humanoid's KinetIQ VLM/VLA framework serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Humanoid robots are typically targeted at enterprise customers, research institutions, and forward-thinking businesses looking to automate tasks that require human-like form and dexterity. While some models are approaching consumer pricing, the majority remain in the commercial and industrial space.
When evaluating a humanoid robot, payload capacity, degrees of freedom, and manipulation dexterity are critical factors. Battery life and charging time determine operational uptime. The AI platform determines how well the robot can adapt to new tasks and environments. Consider whether the robot needs to work alongside humans (requiring safety certifications) or will operate independently.
Pricing
The HMND 01 Alpha Bipedal is currently in active development. Follow Humanoid for updates on when the robot will become available for purchase or pre-order.
Engineering compromises and where this humanoid robot excels
With 8 sensor types onboard, the HMND 01 Alpha Bipedal has one of the more comprehensive perception systems in the humanoid category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
With 12 distinct capabilities, the HMND 01 Alpha Bipedal is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
A battery life of 3 hours average runtime provides substantial operational runway. For humanoid applications, this means longer work sessions between charges, fewer interruptions, and the ability to complete larger tasks or cover more area in a single charge cycle.
A top speed of 1.5 m/s (5.4 km/h) provides the HMND 01 Alpha Bipedal with the agility to cover ground efficiently. This is particularly valuable for applications that require rapid response, large-area coverage, or keeping pace with human movement in shared environments.
With a payload capacity of 15 kg (33 lb), the HMND 01 Alpha Bipedal can handle meaningful physical tasks. This capacity enables practical applications like carrying tools, transporting materials, or supporting equipment mounts that lighter robots simply cannot accommodate.
At 90 kg (198 lb), the HMND 01 Alpha Bipedal is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
Humanoid has not published a public price for the HMND 01 Alpha Bipedal. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
The HMND 01 Alpha Bipedal is not yet available as a finished, shipping product. Specifications may change before commercial release, and timelines for availability are subject to revision. Early adopters should account for this uncertainty in their planning.
Note: This strengths and trade-offs assessment is based on the HMND 01 Alpha Bipedal's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the Humanoid manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
Understanding the engineering behind this category
Humanoid robots represent one of the most technically ambitious categories in robotics. Building a machine that walks, balances, manipulates objects, and interacts naturally with humans requires breakthroughs across multiple engineering disciplines simultaneously. Understanding the technology behind humanoid robots helps buyers and enthusiasts appreciate both the capabilities and limitations of current systems.
Humanoid robots navigate using a combination of visual SLAM (Simultaneous Localization and Mapping), depth sensing, and inertial measurement. Unlike wheeled robots that simply avoid obstacles, humanoids must plan footstep placement, maintain dynamic balance on uneven surfaces, and anticipate terrain changes. Advanced systems use predictive models to plan several steps ahead, similar to how humans unconsciously adjust their gait when approaching stairs or rough ground. The computational requirements for real-time bipedal navigation are substantial, often requiring dedicated motion-planning processors separate from the main AI system.
Artificial intelligence in humanoid robots serves multiple roles: high-level task planning (understanding what needs to be done), perception (recognizing objects, people, and environments), manipulation planning (figuring out how to grasp and move objects), and social interaction (understanding speech, gestures, and context). Modern humanoids increasingly use large language models and vision-language models for task understanding, allowing them to interpret natural language instructions and generalize to new tasks without explicit programming for each scenario.
The sensor suite in a humanoid robot must provide comprehensive environmental awareness while maintaining real-time processing speeds. Sensor fusion algorithms combine data from cameras, LiDAR, depth sensors, force/torque sensors, and IMUs to create a unified model of the robot's surroundings. This multi-modal perception is critical because no single sensor type works perfectly in all conditions — cameras struggle in darkness, LiDAR cannot distinguish materials, and touch sensors only detect what the robot physically contacts. By combining these inputs, the robot achieves more robust and reliable perception than any individual sensor could provide.
Battery technology is one of the primary limiting factors for humanoid robots. Bipedal locomotion is inherently energy-intensive — maintaining balance requires constant motor activity even when standing still. Current lithium-ion battery packs typically provide two to four hours of active operation, with charging times that can match or exceed operational time. Research into more efficient actuators, energy-harvesting techniques, and advanced battery chemistries aims to extend operational windows. Some commercial deployments address this limitation through battery-swap systems or scheduled charging rotations.
Safety in humanoid robotics is paramount because these robots operate in close proximity to humans. Design approaches include compliant actuators that absorb impact forces, real-time collision prediction systems, force-limited joints that automatically reduce power when unexpected contact occurs, and emergency stop mechanisms accessible to nearby humans. International safety standards like ISO 13482 for personal care robots provide frameworks for evaluating safety, but the field is still developing standards specific to general-purpose humanoid systems. Buyers should inquire about safety testing, certifications, and the robot's behavior in failure modes.
The humanoid robotics field is advancing rapidly on multiple fronts. Improvements in foundation models are enabling more generalizable intelligence. New actuator designs are making robots lighter and more efficient. Manufacturing scale is driving down costs. Over the next several years, expect humanoid robots to transition from controlled industrial environments to more varied commercial and eventually residential settings. The convergence of better AI, cheaper hardware, and proven deployment experience will accelerate adoption across industries.
The HMND 01 Alpha Bipedal by Humanoid incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the HMND 01 Alpha Bipedal, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
How this robot compares in the humanoid landscape
Humanoid has not publicly disclosed pricing for the HMND 01 Alpha Bipedal, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
With 8 sensor types, the HMND 01 Alpha Bipedal has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the humanoid category, enabling more robust autonomous operation in varied conditions.
As a robot still in development, the HMND 01 Alpha Bipedal represents Humanoid's vision for where humanoid robotics is heading. Specifications may evolve before commercial release, and early performance demonstrations should be evaluated with this context in mind.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Humanoid's portfolio and market strategy, visit the Humanoid manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the HMND 01 Alpha Bipedal should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 12 capability signals, 8 sensor inputs, and a last verification date of 2026-06-08. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with Humanoid.
Commercial model
Pricing not public
Humanoid has not published public pricing or general customer availability for the Alpha Bipedal configuration.. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
Integration details thin
The page does not list any connectivity standards, so procurement teams should verify network requirements, remote management options, and how the robot fits into existing software or facility infrastructure.
Spec disclosure
5/7 core specs public
ui44 currently has 5 of 7 core physical and operating specs filled in for this model, leaving 2 gaps that matter for deployment planning. Missing runtime, charge, speed, or payload details can materially change staffing and site-readiness assumptions.
The current profile is detailed enough to support early comparison work, shortlist creation, and cross-checking against other humanoid robots. It is still worth validating the final deployment package, because integration services, support coverage, software entitlements, and site-preparation requirements often sit outside the raw hardware spec sheet.
If you want a faster apples-to-apples read, compare the HMND 01 Alpha Bipedal against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the Humanoid profile helps anchor this robot inside the wider product lineup.
Practical guide from day one through years of ownership
Setting up a humanoid robot is substantially more involved than plug-and-play consumer devices. Expect a professional installation or guided setup process that includes physical unpacking and assembly (if shipped disassembled), initial calibration of joints and sensors, environment mapping and safety zone definition, network and cloud service configuration, and application-specific programming or task teaching. Plan for several hours to a full day of setup time, and budget for potential integration consulting if the robot needs to connect with existing systems. The manufacturer or a certified integrator should provide training on safe operation, emergency procedures, and basic troubleshooting.
Humanoid robots require regular maintenance to ensure safe and reliable operation. Monthly maintenance typically includes visual inspection of joints and actuators for wear, sensor cleaning (especially cameras and LiDAR), firmware and software updates, battery health checks, and calibration verification. Quarterly maintenance may include more thorough mechanical inspection, lubrication of moving parts, and performance benchmarking to detect gradual degradation. Keep a maintenance log and follow the manufacturer's recommended schedule precisely — humanoid robots are complex systems where small issues can cascade if not addressed promptly.
Humanoid robot software is evolving rapidly, and regular updates can significantly improve performance, add new capabilities, and patch security vulnerabilities. Most manufacturers provide over-the-air updates, but enterprise deployments may require staging and testing updates before rolling them out. Evaluate the manufacturer's update track record — frequent, well-documented updates indicate active development and long-term commitment. Be aware that major software updates may require recalibration or retraining of custom behaviors.
To maximize the useful life of a humanoid robot, avoid operating beyond specified payload limits, maintain a controlled environment (temperature, humidity), keep sensors clean and unobstructed, and address any unusual sounds or behaviors promptly. Battery longevity is improved by avoiding deep discharges and extreme temperatures during charging. Investing in a service contract with the manufacturer or a certified partner provides access to replacement parts and expertise that can extend the robot's productive life significantly beyond the standard warranty period.
For Humanoid-specific support resources and documentation, visit the Humanoid page on ui44 or check the manufacturer's official website at Humanoid's product page.
All HMND 01 Alpha Bipedal data on ui44 is verified against official Humanoid sources, including spec sheets, product pages, and press releases. Last verified: 2026-06-08. Official source: Humanoid product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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