Manufacturer profile
EngineAI
2 robots tracked on ui44 with a growing manufacturer profile and published pricing around $180k.
- 1 active model
- Humanoid leads the lineup
- Updated Apr 4, 2026
Coverage snapshot
- Tracked robots
- 2
- Categories
- 1
- Available now
- 1
- Price view
- $180k
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Manufacturer brief
What stands out about EngineAI
EngineAI currently spans 2 robots in the ui44 database. The portfolio leans toward humanoid with 2 models leading the lineup. 1 model is already available or active today. Published pricing starts at $180k.
Bipedal locomotionHigh-range waist rotation (>300°)Open-source training and deployment code supportQuick-release battery swapping
portfolio
2 Humanoid
EngineAI is most concentrated in humanoid robotics, with 1 category represented overall.
availability
1/2
1 robot is marked available or active, which helps frame how commercial-ready this lineup is.
pricing
$180k
The average published price across 1 model lands around $180k.
Portfolio
What this manufacturer actually covers
EngineAI needs an at-a-glance summary before the page branches into deeper editorial content. This chapter brings the company snapshot, compare entry points, and model gallery into one clean first read.
About EngineAI
EngineAI is a robotics company. The company currently has 2 robots tracked in the ui44 Home Robot Database, spanning the Humanoid category.
Key Capabilities
Bipedal locomotion
High-range waist rotation (>300°)
Open-source training and deployment code support
Quick-release battery swapping
Cross-platform algorithm deployment
High-dynamic full-body motion
Obstacle avoidance and path planning
Industrial inspection and patrol use
Research and developer platform use
Dexterous grasping on Pro/Max editions
At a Glance
Browse all robotics companies on the manufacturers directory.
Compare entry points
Open the comparison tool
Compare EngineAI models side by side
These in-brand comparison links surface the most relevant matchups first, using category fit, shared capabilities, and verification freshness to decide what should be reviewed together.
All EngineAI Robots
Model coverage
The tracked EngineAI lineup is grouped here so the catalog can be scanned quickly before diving deeper into pricing, specs, and context.
Product and tech
Lineup structure and platform signals
A premium manufacturer page should make it easy to understand how the lineup is organized and what technical patterns show up across the portfolio, not just list robots one by one.
Technology & Capabilities
EngineAI's robots combine a range of technologies and capabilities. Here is a consolidated look at the sensors, connectivity, AI platforms, and capabilities found across their product line.
Key Capabilities
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Bipedal locomotion 2/2 (100%)
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Quick-release battery swapping 2/2 (100%)
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High-range waist rotation (>300°) 1/2 (50%)
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Open-source training and deployment code support 1/2 (50%)
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Cross-platform algorithm deployment 1/2 (50%)
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High-dynamic full-body motion 1/2 (50%)
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Obstacle avoidance and path planning 1/2 (50%)
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Industrial inspection and patrol use 1/2 (50%)
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Research and developer platform use 1/2 (50%)
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Dexterous grasping on Pro/Max editions 1/2 (50%)
Sensor Technology
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Two depth cameras (head and waist, education edition) 1/2 (50%)
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Intel depth camera (Basic edition) 1/2 (50%)
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Stereo vision + LiDAR perception system (Open Source/Pro/Max editions) 1/2 (50%)
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Tactile sensing in dexterous hands (Pro/Max editions) 1/2 (50%)
Connectivity
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Not publicly specified 1/2 (50%)
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Wi-Fi 1/2 (50%)
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Bluetooth 1/2 (50%)
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USB 1/2 (50%)
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LAN 1/2 (50%)
AI & Intelligence
End-to-end neural network motion control; education edition lists NVIDIA Jetson Orin NX (16G)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
Explore these technologies across all robots:
Commercial reality
Pricing, availability, and hard specs
Decision-making gets easier when pricing, availability, and comparable specs are presented as a coherent buying surface instead of disconnected blocks.
Pricing & Availability
$180k
Listed price
1/2
Available now
EngineAI robots are priced at $180k. 1 model does not have publicly listed pricing (typically enterprise or contact-sales models).
PM01
Active
No current official public list price on EngineAI product page; historical launch coverage cited ~88,000 yuan promotional pricing in early 2025
·
2024-12
T800
Pre-order
$180k
·
2025-12-02
Availability Breakdown
1
Actively deployed
1
Available for pre-order
Evaluation
Buyer guidance and plain-language spec decoding
This section translates the raw database into practical evaluation advice, which helps the page feel like expert editorial rather than a raw export.
Buying Guide: Is a EngineAI Robot Right for You?
Choosing the right robot depends on your use case, budget, and technical needs. Here's what to consider when evaluating EngineAI's product line.
Who Should Consider EngineAI Robots
Enterprise & Research Buyers
EngineAI serves enterprise and research customers. 1 of their models require contacting sales for pricing, indicating enterprise-tier products with custom deployment support.
Key Factors to Evaluate
Availability
1 of 2 models are currently available. Check individual robot pages for the latest status.
Category Fit
Make sure the robot's category matches your primary use case. Browse all categories.
Sensor Ecosystem
Review the technology section to understand what sensing and connectivity each model offers.
Price Transparency
1 of 2 models list public pricing. For unlisted models, request quotes early.
Compare Before You Buy
Evaluate EngineAI robots head-to-head or against competitors with our comparison tool.
EngineAI Specifications Explained
Raw numbers only tell part of the story. Here is a plain-language explanation of what each specification means for the EngineAI robots — and what it means for you as a buyer or researcher.
PM01
Specifications Breakdown
Height
1400 mm (standing)At 1400 mm (standing), the PM01 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.
Weight
About 42 kg (business edition; nearly 43 kg education edition)The PM01 weighs About 42 kg (business edition; nearly 43 kg education edition). Weight affects stability, portability, floor compatibility, and how the robot interacts with its environment.
Battery Life
Nearly 2 hoursThe PM01 offers Nearly 2 hours of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.
Charging Time
Nearly 2 hoursThe PM01 requires Nearly 2 hours to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.
Max Speed
>2 m/s (hardware support)The PM01 can move at up to >2 m/s (hardware support). Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.
AI Platform
End-to-end neural network motion control; education edition lists NVIDIA Jetson Orin NX (16G)The PM01 runs on End-to-end neural network motion control; education edition lists NVIDIA Jetson Orin NX (16G) for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.
Dimensions: 1400(H) × 535.55(W) × 252.66(D) mm
Affects doorway clearance and operating space requirements
Sourced from official EngineAI docs · Full PM01 specs →
T800
Specifications Breakdown
Height
173 cmAt 173 cm, the T800 is roughly the height of an average adult human, which allows it to interact naturally with human-designed environments including countertops, doorways, and shelving at standard heights. This size is important for robots that need to work alongside people in factories, warehouses, or homes.
Weight
75-85 kg depending on editionWeighing 75-85 kg depending on edition, the T800 is a substantial machine. This weight provides stability during physical tasks and manipulation but means it requires careful consideration for floor loading and may need dedicated charging infrastructure. Industrial-weight robots typically offer higher payload capacity and more robust construction.
Battery Life
4-5 hoursThe T800 offers 4-5 hours of battery life per charge. Battery life is one of the most critical real-world performance metrics for any mobile robot. It determines how much work the robot can accomplish in a single session before needing to recharge. For humanoid robots, this runtime should be evaluated against the size of the area you need covered and the intensity of the tasks involved. Robots with self-charging capability can partially compensate for shorter battery life by autonomously returning to their dock.
Charging Time
2.5 hours (ternary lithium) or 3 hours (solid-state)The T800 requires 2.5 hours (ternary lithium) or 3 hours (solid-state) to reach a full charge. Charging time directly impacts the robot's daily operating capacity — faster charging means less downtime and more productive hours. Combined with its battery life, the charge-to-runtime ratio reveals how much of each day the robot can actually spend working versus sitting on its dock.
Max Speed
≥3 m/s (hardware-supported)The T800 can move at up to ≥3 m/s (hardware-supported). Maximum speed affects how quickly the robot can traverse its operating area, respond to commands, and complete tasks. For humanoid robots, speed must be balanced against safety — faster robots need better obstacle detection and stopping capabilities to prevent collisions and ensure safe operation around people and pets.
AI Platform
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 EngineAIThe T800 runs on 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 for its artificial intelligence capabilities. The AI platform determines how intelligently the robot behaves — from basic reactive responses to sophisticated scene understanding, natural language processing, and adaptive learning. A more advanced AI platform generally means better obstacle avoidance, more natural interaction, and the ability to improve performance over time through software updates.
Payload: 5 kg per hand (Pro/Max editions)
Determines what tools and sensors the robot can carry
Dimensions: 173 cm tall; arm length 60 cm; lower leg + thigh length 91 cm
Affects doorway clearance and operating space requirements
Sourced from official EngineAI docs · Full T800 specs →
Market context
Use cases and category landscape
A strong manufacturer page should explain where the lineup fits in the broader robotics market, including who these robots are for and how the surrounding category is moving.
Real-World Use Cases for EngineAI Robots
Understanding how a robot fits into your specific situation is more important than any single specification. Here are the real-world scenarios where EngineAI robots can make a meaningful impact.
Factory and Warehouse Automation
Industrial environments are seeing rapid robot adoption for tasks including picking, packing, inspection, and material transport.
- Humanoid robots offer the advantage of working in spaces designed for humans without facility modification, while quadrupeds excel at inspection tasks in challenging terrain.
- Key evaluation criteria include payload capacity, battery life for shift coverage, safety certifications for human-adjacent work, and integration with existing warehouse management systems.
Research and Education Platform
Academic and research teams need robot platforms that offer deep programmability, well-documented APIs, and active community support.
- Research robots should provide access to raw sensor data, support standard robotics frameworks (ROS/ROS2), and offer simulation environments for algorithm development before deploying on hardware.
- Consider the platform's track record in published research, available documentation, and whether the manufacturer provides academic pricing or grants.
Household Physical Tasks
Home assistant robots represent the next frontier in domestic automation — robots that can physically interact with your environment.
- From fetching items to folding laundry, these robots need sophisticated manipulation, reliable navigation, and an understanding of household objects and layouts.
- This category is still emerging, but early products demonstrate the potential for robots that handle physical chores beyond floor cleaning.
Not sure which type of robot fits your needs? Browse our categories guide or use the comparison tool to evaluate options side-by-side.
EngineAI in the Robotics Industry
EngineAI operates in the humanoid robotics segment.
Humanoid Market Landscape
Market Overview
The humanoid robot market is one of the fastest-growing segments in robotics, driven by advances in AI, computer vision, and actuator technology. Companies from Tesla to Boston Dynamics are racing to create bipedal robots that can work alongside humans in factories, warehouses, and eventually homes. The market is projected to grow significantly through the late 2020s as hardware costs decline and software capabilities improve.
Key Industry Trends
Integration of large language models (LLMs) for natural interaction and task understanding
Transition from research prototypes to commercial deployment in logistics and manufacturing
Decreasing costs through standardized actuator designs and mass production
Whole-body control systems enabling more fluid and natural movement
Teleoperation capabilities for remote task execution and training data collection
Common Use Cases for Humanoid Robots
Warehouse picking and logistics automation
Manufacturing line assistance and quality inspection
Elderly care and household assistance
Hazardous environment operations
Research and education platforms
Retail and hospitality customer service
Buyer Considerations
Most humanoid robots are still in pre-commercial or limited-deployment stages
Enterprise buyers should evaluate total cost of ownership including integration and maintenance
Payload capacity and battery life are critical differentiators for industrial applications
Software ecosystem and SDK availability determine how customizable the robot is
Safety certifications (ISO 13482, CE marking) are essential for human-adjacent deployment
Future Outlook
The humanoid robotics industry is approaching an inflection point. As AI models become more capable at understanding physical tasks and costs continue to fall, expect to see humanoid robots move from controlled industrial settings into more varied commercial environments by 2027–2028. The key challenges remain battery technology, reliable manipulation, and building public trust.
Systems
Capabilities, sensors, and connectivity
For serious buyers and researchers, the important question is how the stack hangs together: capabilities, sensing, and integration depth all need to read as a coherent system.
Connectivity & Smart Home Integration
How a robot connects to your network and integrates with your existing smart home determines how useful it will be in practice. EngineAI's robots support 5 connectivity technologies.
Wireless local network connectivity enabling remote control, cloud integration, over-the-air updates, and app-based management through your home or office network.
For buyers
Wi-Fi is the primary connection for most home robots, enabling app control, cloud AI features, voice assistant integration, and remote monitoring. Look for dual-band (2.4GHz + 5GHz) support for better reliability.
Short-range wireless connectivity for direct device-to-device communication, initial setup, and local control without requiring a Wi-Fi network.
For buyers
Bluetooth is commonly used for initial robot setup, connecting to nearby devices, and as a backup control method. Bluetooth Low Energy (BLE) is used for continuous low-power connections with companion devices.
Universal Serial Bus connectivity for data transfer, device attachment, and in some cases, debugging and programming.
For buyers
USB ports allow connection of additional peripherals, firmware updates, and developer access. They are common on research platforms and robots with expandable functionality.
Learn more about robot connectivity options in our connectivity components guide or browse the full components directory.
Positioning
Competitive posture and regional context
Manufacturer research is stronger when the page moves beyond specs and helps frame strategic position, regional ecosystem, and how the portfolio sits versus peers.
How EngineAI Compares in the Market
How EngineAI positions itself in the competitive landscape — beyond individual products.
Price positioning: At an average price point of $180k, EngineAI targets the enterprise and professional market. This premium positioning typically comes with advanced capabilities, commercial-grade support, and industrial-quality construction.
Category focus: EngineAI is a specialist focused entirely on the humanoid category. Category specialists often develop deeper expertise and more refined products in their focus area compared to multi-category companies that spread their R&D across different robot types.
Technology breadth: Across its product line, EngineAI integrates 4 unique sensor types and 10 distinct capabilities. This technology stack determines the range of tasks and environments their robots can handle, and indicates the depth of the company's engineering investment.
Market maturity: All 2 of EngineAI's robots are commercially available, indicating a mature product portfolio focused on serving current customer needs.
Compare Side by Side
Use the comparison tool or browse the manufacturers directory.
Operations
Ownership planning and final takeaways
The page should close with practical ownership guidance, supporting editorial, and a concise summary so the route ends with momentum instead of fatigue.
Owning a EngineAI Robot: What to Expect
Purchasing a robot is the start of an ongoing relationship with technology that requires setup, maintenance, and periodic attention.
Setting Up Your Robot
First-time robot setup varies significantly by category and complexity. Consumer robots like vacuums and lawn mowers typically involve downloading a companion app, connecting to Wi-Fi, and running an initial mapping or boundary setup routine. More complex robots like humanoids or quadrupeds may require professional installation, calibration, and training. Allow extra time for the first session — the robot needs to learn your space, and you need to learn its controls. Most modern robots improve their performance over the first few uses as their maps and AI models refine based on your specific environment.
Ongoing Maintenance Requirements
Every robot requires some level of maintenance to operate at peak performance. For cleaning robots, this includes emptying dustbins, washing filters, replacing brush rolls, and cleaning sensors — typically a few minutes per week. Lawn mowing robots need periodic blade replacements and seasonal cleaning. Legged robots may require joint lubrication and firmware updates. Check the manufacturer's recommended maintenance schedule and factor replacement part costs into your total cost of ownership. Establishing a regular maintenance routine significantly extends the robot's useful life and maintains cleaning or task performance over time.
Software Updates and Long-Term Support
Modern robots receive regular software updates that can add features, improve navigation, fix bugs, and enhance security. When evaluating any robot, consider the manufacturer's track record for software support — how frequently do they release updates, and for how long do they support older models? Some companies provide updates for years after purchase, while others may discontinue support sooner. Cloud-dependent features are particularly important to evaluate: if the manufacturer shuts down cloud services, will your robot still function? Prefer robots with strong local processing capability for long-term reliability.
Safety Considerations
Robot safety encompasses both physical safety (preventing collisions, falls, and injuries) and digital safety (data privacy, network security, camera access). Physically, look for robots with emergency stop mechanisms, collision detection, cliff sensors, and speed-limiting features when operating near people or pets. Digitally, understand what data the robot collects, where it is stored, who can access it, and whether the manufacturer has a clear privacy policy. For robots with cameras and microphones, hardware privacy indicators (LED lights when recording) and physical mute switches provide important transparency and control.
Warranty and After-Sales Support
Robotics purchases represent significant investments, making warranty terms and after-sales support critical evaluation criteria. Standard warranties in the industry range from one to three years, with some manufacturers offering extended warranty options. Beyond warranty length, consider what the warranty covers — some exclude consumable parts like brushes and filters. Also evaluate the manufacturer's service infrastructure: do they have authorized repair centers in your region? Is support available by phone, email, or chat? Response times and repair turnaround times can vary significantly between companies. User community forums and third-party repair guides can supplement official support.
Total Cost of Ownership
The sticker price of a robot is just the beginning. Total cost of ownership includes the initial purchase price, replacement parts and consumables, electricity for charging, any subscription fees for cloud or premium features, and potential repair costs. For commercial robots, add integration, training, and downtime costs. For consumer robots, factor in accessories like extra mop pads, replacement brushes, or boundary accessories. A thorough TCO analysis over the expected product lifetime — typically three to five years for consumer robots and longer for commercial platforms — provides a much more accurate picture of value than purchase price alone.
For model-specific ownership details, visit individual robot pages or contact EngineAI directly.
Deployment Planning for EngineAI Robots
Successful robot deployment depends on preparation that goes well beyond selecting the right model.
Readiness Assessment
At least one EngineAI model carries an available or active status, indicating that procurement conversations can proceed with current product specifications rather than pre-release estimates.
Published pricing exists for 1 model, which supports early budget planning. Verify whether listed prices include integration support, training, and warranty coverage.
The sensor suite across EngineAI's lineup includes 4 distinct sensor types, suggesting meaningful perception capabilities. Validate sensor performance under your specific environmental conditions — manufacturer specifications typically reflect optimal rather than worst-case scenarios.
With 10 distinct capabilities documented across the product line, EngineAI robots offer a broad feature surface. Prioritize capabilities that directly map to your operational requirements and treat additional features as secondary evaluation criteria.
1
Laboratory and research environment preparation
Research deployments require controlled conditions that differ from commercial settings. Verify that the lab space meets the robot's power requirements, including dedicated circuits for charging stations and any auxiliary computing hardware. Plan for motion capture or external sensor arrays if your research protocol requires ground-truth positioning data. Establish clear demarcation between the robot's active workspace and personnel areas, especially for platforms with manipulator arms or high-speed locomotion capabilities. Document the software development environment requirements, including supported operating systems, SDK dependencies, and network configurations needed for remote operation and data collection.
2
Network infrastructure and cybersecurity planning
Modern robots are networked devices that require thoughtful integration with existing IT infrastructure. Plan a dedicated network segment or VLAN for robot operations to isolate robot traffic from critical business systems. Implement certificate-based authentication where supported, and verify that firmware update mechanisms use signed packages. Establish a security review cadence for robot software components, especially for robots that process camera feeds, microphone input, or personal data. Create an incident response plan specific to robot compromise scenarios — what happens if a robot's navigation system is tampered with, or if sensor data is intercepted? These questions are easier to answer before deployment than during an active incident.
3
Operator training and workflow integration
Even highly autonomous robots require human operators who understand normal behavior, can recognize anomalies, and know when and how to intervene. Develop a training program that covers daily operations (startup, shutdown, charging), routine maintenance (cleaning sensors, checking mechanical wear), and emergency procedures (manual override, safe power-down, physical recovery from stuck positions). Integrate robot operations into existing workflow documentation so that robot tasks and human tasks have clear handoff points. Track operator confidence levels over time and provide refresher training when procedures change or new capabilities are deployed through software updates.
4
Performance benchmarking and acceptance criteria
Define measurable success criteria before the robot arrives. For cleaning robots, this might be coverage percentage and cleaning quality scores. For commercial service robots, track task completion rates, customer interaction quality, and mean time between interventions. For research platforms, establish reproducibility metrics and data quality thresholds. Having objective benchmarks prevents the common failure mode where a robot is judged impressive in demos but disappointing in sustained operation. Create a 30-60-90 day evaluation framework with specific milestones at each stage, and define clear decision points for scaling up, adjusting configuration, or discontinuing the deployment.
5
Regulatory compliance and liability assessment
Deploying a robot in a commercial or public-facing setting triggers regulatory considerations that vary by jurisdiction. Verify compliance with local safety standards for autonomous machines, including emergency stop accessibility, speed limitations in human-occupied spaces, and noise level restrictions. Assess liability coverage — does your existing insurance policy cover robot-caused property damage or personal injury, or do you need a specific rider? For healthcare or eldercare companion deployments, review data privacy regulations that govern the collection and storage of health-related observations. Document your compliance posture before deployment so that auditors and regulators see proactive governance rather than reactive scrambling.
6
Long-term maintenance and total cost modeling
The purchase price of a robot is typically a fraction of the total cost of ownership over its operational lifetime. Model the full cost picture including consumables (filters, brushes, wheels, batteries), scheduled maintenance (sensor calibration, actuator inspection, firmware updates), unscheduled repairs (motor replacement, sensor failure, structural damage), and operational costs (electricity, network bandwidth, operator time). Request maintenance schedules and spare-part pricing from the manufacturer before purchase. For commercial deployments, calculate the break-even point against the labor or service cost the robot replaces, factoring in realistic uptime assumptions rather than manufacturer-stated maximums. Revisit the cost model quarterly as real operating data replaces initial estimates.
Deployment planning is iterative — capture lessons learned and refine your approach as you progress with EngineAI products.
EngineAI: Summary and Key Takeaways
EngineAI is a Unknown-based robotics company with 2 robots tracked on ui44, focused on humanoid robotics
Their robots integrate 4 sensor types, 10 capabilities, and 5 connectivity options across the product line
1 of 2 models is currently available, with the remainder in development or pre-order stages, priced at $180k
Key sensor technologies include Two depth cameras (head and waist, education edition), Intel depth camera (Basic edition), Stereo vision + LiDAR perception system (Open Source/Pro/Max editions) and 1 more
Notable capabilities span bipedal locomotion, high-range waist rotation (>300°), open-source training and deployment code support, quick-release battery swapping, and 6 additional features
Next Steps
Frequently Asked Questions
What robots does EngineAI make?
How much do EngineAI robots cost?
EngineAI robots with published pricing range from $180k to $180k. 1 model requires contacting the manufacturer for pricing. See the full pricing breakdown above.
Can I buy a EngineAI robot today?
Yes — 1 EngineAI model is currently available or actively deployed: PM01 (Active). Check each robot's page for the latest purchasing details.
What can EngineAI robots do?
Across their product line, EngineAI robots offer 10 distinct capabilities including: Bipedal locomotion, High-range waist rotation (>300°), Open-source training and deployment code support, Quick-release battery swapping, Cross-platform algorithm deployment, High-dynamic full-body motion, Obstacle avoidance and path planning, Industrial inspection and patrol use, and 2 more. See each robot's detail page for the full capability breakdown.
What sensors do EngineAI robots use?
EngineAI robots use 4 types of sensors including Two depth cameras (head and waist, education edition), Intel depth camera (Basic edition), Stereo vision + LiDAR perception system (Open Source/Pro/Max editions), Tactile sensing in dexterous hands (Pro/Max editions). Visit the components directory to see how these compare across the industry.
How current is the EngineAI data on ui44?
All robot data on ui44 is periodically verified against manufacturer sources. The most recent verification for a EngineAI robot was on 2026-04-04. Each robot page includes a "last verified" date so you can gauge data freshness.
Data Integrity
All EngineAI robot data on ui44 is verified against official manufacturer sources, spec sheets, and press releases. Most recent verification: 2026-04-04. Oldest verification in this set: 2026-03-10. If you notice outdated or incorrect data, please let us know — accuracy is our top priority.
Related Categories
Key Components
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