Commercial model
$180,000 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Release
Dec 8, 2025
Price
¥180,000
Connectivity
4
Status
Pre-order
Height
173 cm
Weight
75-85 kg depending on edition
Battery
4-5 hours
Speed
≥3 m/s (hardware-supported)
Payload
5 kg per hand (Pro/Max editions)
EngineAI's T800 is a full-size humanoid robot family positioned for industrial collaboration, inspection, research, logistics, and service deployments. Officially launched in December 2025 and shown globally at CES 2026, the platform is offered in Basic, Open Source, Pro, and Max editions. EngineAI says the T800 stands 173 cm tall, uses in-house joint modules capable of up to 450 N·m peak torque, supports hardware movement speeds of at least 3 m/s, and pairs active leg-joint cooling with quick-release battery packs for 4-5 hours of operation. Higher-tier versions add stereo-vision plus LiDAR perception, dexterous 7-DoF hands, and more onboard compute for developers and more demanding manipulation tasks.
Listed price
¥180,000
Official Chinese product and launch pages list the Basic Edition starting at 180,000 yuan; higher-tier editions are priced above that.
Release window
Dec 8, 2025
Current status
Pre-order
EngineAI
Last verified
Apr 29, 2026
Share this robot
Open a plain share composer on X or Bluesky for this robot profile.
Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind T800.
Height
173 cm
Weight
75-85 kg depending on edition
Dimensions
173 cm tall; arm length 60 cm; lower leg + thigh length 91 cm
Battery Life
4-5 hours
Charging Time
2.5 hours (ternary lithium) or 3 hours (solid-state)
Max Speed
≥3 m/s (hardware-supported)
Payload
5 kg per hand (Pro/Max editions)
Operational profile
Capabilities
7
Connectivity
4
Key capabilities
Explore further
Benchmark set
Shortcuts to the closest alternatives in the current ui44 set.
Humanoid
PM01
EngineAI
Price TBA
Humanoid
Iron
XPENG Robotics
$150,000
Humanoid
LUS2
Lumos Robotics
Price TBA
Humanoid
Domo
Rotaku
$2,999
Coverage
Reporting and explainers linked to T800.
Blog
2026-05-17 · ui44 Team
Can Humanoid Robots Really Scale to Homes?
Blog
2026-05-17 · ui44 Team
Home Robot Digital IDs: Buyer Checklist
Blog
2026-05-16 · ui44 Team
Chinese Humanoids: Hong Kong Route to Homes?
Blog
2026-05-16 · ui44 Team
EngineAI T800 Price: China vs International
Blog
2026-05-15 · ui44 Team
Humanoid Robot Battery Swapping: Home Readiness
The T800 is a Humanoid robot built by EngineAI. EngineAI's T800 is a full-size humanoid robot family positioned for industrial collaboration, inspection, research, logistics, and service deployments. Officially launched in December 2025 and shown globally at CES 2026, the platform is offered in Basic, Open Source, Pro, and Max editions. EngineAI says the T800 stands 173 cm tall, uses in-house joint modules capable of up to 450 N·m peak torque, supports hardware movement speeds of at least 3 m/s, and pairs active leg-joint cooling with quick-release battery packs for 4-5 hours of operation. Higher-tier versions add stereo-vision plus LiDAR perception, dexterous 7-DoF hands, and more onboard compute for developers and more demanding manipulation tasks.
At a listed price of $180,000, it positions itself in the enterprise segment of the humanoid market. See all EngineAI robots on the EngineAI page.
Detailed specifications for the T800
Height
173 cmAt 173 cm, the T800 is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
75-85 kg depending on editionWeighing 75-85 kg depending on edition, the T800 needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Dimensions
173 cm tall; arm length 60 cm; lower leg + thigh length 91 cmThe overall dimensions of 173 cm tall; arm length 60 cm; lower leg + thigh length 91 cm define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
4-5 hoursWith a battery life of 4-5 hours, the T800 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.
Charging Time
2.5 hours (ternary lithium) or 3 hours (solid-state)A charging time of 2.5 hours (ternary lithium) or 3 hours (solid-state) means the ratio of operation to downtime is an important consideration for applications requiring near-continuous availability. Some deployments use multiple robots in rotation to maintain uninterrupted service.
Maximum Speed
≥3 m/s (hardware-supported)A top speed of ≥3 m/s (hardware-supported) approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
5 kg per hand (Pro/Max editions)A payload capacity of 5 kg per hand (Pro/Max editions) 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.
The T800 uses Robot PC with an Intel module (optional RK3588); AI compute varies by edition from NVIDIA Orin NX 16G to AGX Orin 64G, with custom upgrades noted by EngineAI 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 T800 integrates 3 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the T800 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 T800 offers 7 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 3 onboard sensor types and Robot PC with an Intel module (optional RK3588); AI compute varies by edition from NVIDIA Orin NX 16G to AGX Orin 64G, with custom upgrades noted by EngineAI AI platform to deliver practical, real-world performance.
7
Capabilities
3
Sensor Types
AI
Robot PC with an Intel modul…
How the T800 communicates with your network, smart home devices, cloud services, and companion apps.
The T800 by EngineAI integrates 8 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 173 cm, a weight of 75-85 kg depending on edition, a top speed of ≥3 m/s (hardware-supported), providing the foundation on which this technology stack operates.
The perception layer is built on Intel depth camera (Basic edition), Stereo vision + LiDAR perception system (Open Source/Pro/Max editions), Tactile sensing in dexterous hands (Pro/Max editions). 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.
Robot PC with an Intel module (optional RK3588); AI compute varies by edition from NVIDIA Orin NX 16G to AGX Orin 64G, with custom upgrades noted by EngineAI 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.
Price Context
The T800 is available for pre-order. Pre-ordering secures your position in the delivery queue, though actual ship dates may vary.
Engineering compromises and where this humanoid robot excels
Supporting 4 connectivity protocols gives the T800 flexible integration options. Whether connecting to local smart home networks, cloud services, or companion devices, the breadth of connectivity ensures compatibility across a wide range of deployment scenarios and reduces the risk of network-related limitations.
With 7 distinct capabilities, the T800 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 4-5 hours 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 ≥3 m/s (hardware-supported) provides the T800 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 5 kg per hand (Pro/Max editions), the T800 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 75-85 kg depending on edition, the T800 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.
At $180,000, the T800 represents a significant investment. While the price reflects the advanced technology and engineering involved, it places the robot firmly in the professional or enterprise segment. Buyers should build a thorough ROI analysis and consider the total cost of ownership, including integration, training, and ongoing maintenance.
The T800 is not yet available as a finished, shipping product. While pre-ordering secures a position in the delivery queue, actual delivery timelines and final specifications should be confirmed with the manufacturer.
No specific smart home or ecosystem compatibility is listed for the T800. This does not necessarily mean the robot lacks integration options — the information may not yet be published — but buyers who rely on specific platforms (Apple HomeKit, Google Home, Amazon Alexa, etc.) should verify compatibility before purchasing.
Note: This strengths and trade-offs assessment is based on the T800'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 EngineAI 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 T800 by EngineAI incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the T800, 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
With a price point of $180,000, the T800 is squarely in the enterprise/professional segment. This pricing typically includes integration support, commercial-grade warranties, and ongoing software updates.
The T800's 3 sensor types provide solid perceptual coverage for its intended use cases. This mid-range sensor suite balances cost with capability, covering the essential modalities needed for humanoid applications.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of EngineAI's portfolio and market strategy, visit the EngineAI manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the T800 should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 7 capability signals, 3 sensor inputs, and a last verification date of 2026-04-29. 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 EngineAI.
Commercial model
$180,000 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Integration posture
4 connectivity options
The profile lists Wi-Fi, Bluetooth, USB, LAN, plus Robot PC with an Intel module (optional RK3588); AI compute varies by edition from NVIDIA Orin NX 16G to AGX Orin 64G, with custom upgrades noted by EngineAI as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 does not yet list formal compatibility targets for this robot.
Spec disclosure
7/7 core specs public
The profile exposes the full operating-envelope set that ui44 tracks for this section, giving buyers a relatively clear starting point for technical validation.
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 T800 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 EngineAI 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 EngineAI-specific support resources and documentation, visit the EngineAI page on ui44 or check the manufacturer's official website at EngineAI's product page.
All T800 data on ui44 is verified against official EngineAI sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-29. Official source: EngineAI product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
See how the T800 stacks up — compare specs, browse the humanoid category, or search the full database.