Robot dossier
R-noid
Release
Jun 22, 2026
Price
Price TBA
Connectivity
1
Status
Active
Height
1.7 m
Weight
90 kg
Battery
3 hours
Speed
2 m/s
Payload
4 kg per arm
R-noid is Robot.com's wheeled humanoid labor platform for commercial kitchens, packing lines, picking stations, laundries, warehouses, lodging, and hosted guest interactions. It combines a holonomic mobile base with dual 7-DOF arms, a 4-DOF torso, modular end effectors, 0 to 1.9 m vertical reach, and autonomous or VR-teleoperated modes. Robot.com launched R-noid at Automate 2026 as five initial solution categories: restaurant assistant, packer, picker, folder, and host. Official and industry coverage describe active lighthouse deployments, including a packer installation at a golf course, and a deployment model that can move from site visit to autonomous on-site operation in roughly 8 to 12 weeks. The robot uses onboard NVIDIA/AMD compute, FieldAI foundation models, Physical Intelligence's pi0.7 vision-language-action model for manipulation, and Robot.com's R-soul expression and behavior system for intent, status, and conversational presentation.
Listed price
Price TBA
No public price has been disclosed. Robot.com positions R-noid as a sales-led Robot-as-a-Service deployment, with site evaluation, data capture, teleoperation, and autonomy steps before customer operation.
Release window
Jun 22, 2026
Current status
Active
Robot.com
Last verified
Jun 23, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind R-noid.
Height
1.7 m
Weight
90 kg
Dimensions
1.7 m height; 0.55 m wheel base; 0.82 m arm length; 0 to 1.9 m vertical workspace
Battery Life
3 hours
Charging Time
Not officially disclosed
Max Speed
2 m/s
Payload
4 kg per arm
Operational profile
Capabilities
17
Connectivity
1
Key capabilities
Ecosystem fit
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The R-noid is a Humanoid robot built by Robot.com. R-noid is Robot.com's wheeled humanoid labor platform for commercial kitchens, packing lines, picking stations, laundries, warehouses, lodging, and hosted guest interactions. It combines a holonomic mobile base with dual 7-DOF arms, a 4-DOF torso, modular end effectors, 0 to 1.9 m vertical reach, and autonomous or VR-teleoperated modes. Robot.com launched R-noid at Automate 2026 as five initial solution categories: restaurant assistant, packer, picker, folder, and host. Official and industry coverage describe active lighthouse deployments, including a packer installation at a golf course, and a deployment model that can move from site visit to autonomous on-site operation in roughly 8 to 12 weeks. The robot uses onboard NVIDIA/AMD compute, FieldAI foundation models, Physical Intelligence's pi0.7 vision-language-action model for manipulation, and Robot.com's R-soul expression and behavior system for intent, status, and conversational presentation.
Pricing has not been publicly disclosed. See all Robot.com robots on the Robot.com page.
Detailed specifications for the R-noid
Height
1.7 mAt 1.7 m, the R-noid is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
90 kgWeighing 90 kg, the R-noid needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Dimensions
1.7 m height; 0.55 m wheel base; 0.82 m arm length; 0 to 1.9 m vertical workspaceThe overall dimensions of 1.7 m height; 0.55 m wheel base; 0.82 m arm length; 0 to 1.9 m vertical workspace define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
3 hoursWith a battery life of 3 hours, the R-noid 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
2 m/sA top speed of 2 m/s approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
4 kg per armA payload capacity of 4 kg per arm 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 R-noid uses FieldAI foundation models, Physical Intelligence pi0.7 vision-language-action model, NVIDIA Jetson AGX Orin AI module, and AMD Ryzen 5 7640HS base compute 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 R-noid integrates 5 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the R-noid 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 R-noid offers 17 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 5 onboard sensor types and FieldAI foundation models, Physical Intelligence pi0.7 vision-language-action model, NVIDIA Jetson AGX Orin AI module, and AMD Ryzen 5 7640HS base compute AI platform to deliver practical, real-world performance.
The R-noid integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the R-noid to work as part of a broader automation setup rather than operating in isolation.
17
Capabilities
5
Sensor Types
AI
FieldAI foundation models, P…
How the R-noid communicates with your network, smart home devices, cloud services, and companion apps.
The R-noid by Robot.com integrates 7 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 1.7 m, a weight of 90 kg, a top speed of 2 m/s, providing the foundation on which this technology stack operates.
The perception layer is built on Head and chest RGB-D camera, 120 FPS up to 1600 x 1200, 2 x wrist RGB-D cameras, 360-degree front and rear mapping LiDAR, 8 x ultrasonic sensors, Microphone and speaker. 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.
For communications, the R-noid relies on VR teleoperation. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
FieldAI foundation models, Physical Intelligence pi0.7 vision-language-action model, NVIDIA Jetson AGX Orin AI module, and AMD Ryzen 5 7640HS base compute 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 R-noid is in active commercial production and currently sold by Robot.com. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
Engineering compromises and where this humanoid robot excels
The R-noid integrates 5 sensor types, providing good perceptual coverage for its intended applications. This sensor complement covers the essential modalities needed for effective humanoid operation while keeping complexity manageable.
With 17 distinct capabilities, the R-noid 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 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 2 m/s provides the R-noid 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.
At 90 kg, the R-noid 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.
Robot.com has not published a public price for the R-noid. 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.
Note: This strengths and trade-offs assessment is based on the R-noid'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 Robot.com 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 R-noid by Robot.com incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the R-noid, 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
Robot.com has not publicly disclosed pricing for the R-noid, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The R-noid's 5 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.
Being currently available for purchase gives the R-noid a practical advantage over competitors still in development or prototype stages. Buyers can evaluate the actual product rather than relying on spec-sheet promises that may change before release.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Robot.com's portfolio and market strategy, visit the Robot.com manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the R-noid should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 17 capability signals, 5 sensor inputs, and a last verification date of 2026-06-23. 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 Robot.com.
Commercial model
Pricing not public
No public price has been disclosed. Robot.com positions R-noid as a sales-led Robot-as-a-Service deployment, with site evaluation, data capture, teleoperation, and autonomy steps before customer operation.. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
1 connectivity option
The profile lists VR teleoperation, plus FieldAI foundation models, Physical Intelligence pi0.7 vision-language-action model, NVIDIA Jetson AGX Orin AI module, and AMD Ryzen 5 7640HS base compute 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 currently tracks 3 declared compatibility links.
Spec disclosure
6/7 core specs public
ui44 currently has 6 of 7 core physical and operating specs filled in for this model, leaving 1 gap 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 R-noid 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 Robot.com 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 Robot.com-specific support resources and documentation, visit the Robot.com page on ui44 or check the manufacturer's official website at Robot.com's product page.
All R-noid data on ui44 is verified against official Robot.com sources, including spec sheets, product pages, and press releases. Last verified: 2026-06-23. Official source: Robot.com product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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