Commercial model
$1,072.55 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Robot dossier
SamuRoid
Release
Jan 30, 2026
Price
$1,073
Connectivity
5
Status
Available
Height
389.81 mm
Weight
2.3 kg
Battery
Approx. 1 hour (12 V, 3000 mAh battery)
Research
Available
SamuRoid
SamuRoid is XiaoR GEEK's Raspberry Pi 4B-powered miniature humanoid for robotics education, ROS development, and embodied-AI experiments. The official product page lists a 22-DOF bionic structure with high-voltage bus servos, a 1080p camera on a 2-DOF gimbal, USB microphone, MPU6050 IMU, Ubuntu 18.04 plus ROS Melodic, and Python/C++ programmability. Its AI features center on multimodal interaction: OpenCV vision tasks such as face recognition, color tracking, QR-code scanning, and target localization, plus API support for DeepSeek and Doubao so developers can combine voice, vision, and motion. XiaoR GEEK lists the base package as in stock, while independent coverage in April 2026 described it as a higher-end educational/research humanoid compared with simpler Raspberry Pi and servo-based robots. Buyers should note that it is a developer platform with an older ROS/Ubuntu stack and about one hour of official battery runtime, not a consumer home-helper robot.
Listed price
$1,073
Official XiaoR GEEK store listed the base SamuRoid package at $1,072.55 and in stock; shipping, duties, and battery-shipping restrictions vary by destination.
Release window
Jan 30, 2026
Current status
Available
XiaoR GEEK
Last verified
Apr 29, 2026
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Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind SamuRoid.
Technical Specifications
Height
389.81 mm
Weight
2.3 kg
Dimensions
190.98 x 141.6 x 389.81 mm
Battery Life
Approx. 1 hour (12 V, 3000 mAh battery)
Charging Time
Not disclosed
Max Speed
Not disclosed
Tech Components
Operational profile
How this robot is configured
Capabilities
11
Connectivity
5
Key capabilities
22-DOF bipedal humanoid locomotionSelf-balancing posture controlNatural-language command experimentsVoice and vision multimodal interactionOpenCV face recognitionColor tracking and QR-code scanningTarget localizationFPV teleoperation from app or PC
Ecosystem fit
Ubuntu 18.04ROS MelodicPythonC++OpenCVRaspberry Pi 4B
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About the SamuRoid
4Sensors5Protocols11Capabilities$1.1kListed Price
The SamuRoid is a Research robot built by XiaoR GEEK. SamuRoid is XiaoR GEEK's Raspberry Pi 4B-powered miniature humanoid for robotics education, ROS development, and embodied-AI experiments. The official product page lists a 22-DOF bionic structure with high-voltage bus servos, a 1080p camera on a 2-DOF gimbal, USB microphone, MPU6050 IMU, Ubuntu 18.04 plus ROS Melodic, and Python/C++ programmability. Its AI features center on multimodal interaction: OpenCV vision tasks such as face recognition, color tracking, QR-code scanning, and target localization, plus API support for DeepSeek and Doubao so developers can combine voice, vision, and motion. XiaoR GEEK lists the base package as in stock, while independent coverage in April 2026 described it as a higher-end educational/research humanoid compared with simpler Raspberry Pi and servo-based robots. Buyers should note that it is a developer platform with an older ROS/Ubuntu stack and about one hour of official battery runtime, not a consumer home-helper robot.
At a listed price of $1,072.55, it positions itself in the mid-range segment of the research market. See all XiaoR GEEK robots on the XiaoR GEEK page.
Spec Breakdown
Detailed specifications for the SamuRoid
Height
389.81 mmAt 389.81 mm, the SamuRoid is sized for its intended operating environment and use cases.
Weight
2.3 kgWeighing 2.3 kg, the SamuRoid balances structural integrity with portability and maneuverability.
Dimensions
190.98 x 141.6 x 389.81 mmThe overall dimensions of 190.98 x 141.6 x 389.81 mm define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
Approx. 1 hour (12 V, 3000 mAh battery)With a battery life of Approx. 1 hour (12 V, 3000 mAh battery), the SamuRoid 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.
The SamuRoid uses Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions 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.
SamuRoid Sensor Suite
The SamuRoid integrates 4 sensor types, forming the perceptual foundation that enables autonomous operation.
Robot-Eye 4.0 1080p HD USB camera on 2-DOF gimbal
Details →
MPU6050 6-axis gyroscope / IMU
Details →
USB microphone
Details →
40+ modular sensor expansion via PWR.ROSBOT.X board
Details →
This sensor configuration enables the SamuRoid to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
SamuRoid Use Cases & Applications
Research robots serve as platforms for advancing robotics science and engineering. They enable researchers to test theories about locomotion, manipulation, perception, and human-robot interaction in controlled and real-world environments.
Capabilities That Enable Real-World Use
The SamuRoid offers 11 distinct capabilities, each contributing to the robot's practical utility.
22-DOF bipedal humanoid locomotion
Self-balancing posture control
Natural-language command experiments
Voice and vision multimodal interaction
OpenCV face recognition
Color tracking and QR-code scanning
Target localization
FPV teleoperation from app or PC
Walking, kicking, dancing, and handshaking demos
Python and C++ ROS development
Sensor and GPIO expansion
These capabilities work together with the robot's 4 onboard sensor types and Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions AI platform to deliver practical, real-world performance.
Ecosystem Integration
The SamuRoid integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
Ubuntu 18.04
ROS Melodic
Python
C++
OpenCV
Raspberry Pi 4B
DeepSeek API
Doubao API
This ecosystem compatibility enables the SamuRoid to work as part of a broader automation setup rather than operating in isolation.
SamuRoid Capabilities
11
Capabilities
4
Sensor Types
AI
Raspberry Pi 4B (4 GB RAM) r…
22-DOF bipedal humanoid locomotion
Self-balancing posture control
Natural-language command experiments
Voice and vision multimodal interaction
OpenCV face recognition
Color tracking and QR-code scanning
Target localization
FPV teleoperation from app or PC
Walking, kicking, dancing, and handshaking demos
Python and C++ ROS development
Sensor and GPIO expansion
Connectivity & Integration
How the SamuRoid communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
Wi-Fi 2.4 GHz / 5 GHz
Details →
Bluetooth 5.0
Details →
PS2 controller
Details →
USB
Details →
FPV app / PC control
Details →
✓ Wi-Fi for local network and cloud access · ✓ Bluetooth for direct device pairing — enabling the SamuRoid to participate in various networking scenarios.
SamuRoid Technology Stack Overview
The SamuRoid by XiaoR GEEK integrates 12 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 389.81 mm, a weight of 2.3 kg, providing the foundation on which this technology stack operates.
Perception — 4 Sensor Types
The perception layer is built on Robot-Eye 4.0 1080p HD USB camera on 2-DOF gimbal, MPU6050 6-axis gyroscope / IMU, USB microphone, 40+ modular sensor expansion via PWR.ROSBOT.X board. 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.
Connectivity — 5 Protocols
For communications, the SamuRoid relies on Wi-Fi 2.4 GHz / 5 GHz, Bluetooth 5.0, PS2 controller, USB, FPV app / PC control. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Intelligence — Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions
Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions 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.
Who Should Consider the SamuRoid?
Target Audience
Research robots are acquired by universities, government labs, and corporate R&D departments. They serve as experimental platforms for developing new algorithms, testing locomotion strategies, and advancing the field of robotics. Some are also used for educational purposes.
Key Considerations
Open-source software compatibility (ROS/ROS 2), sensor modularity, programmability, available SDK/API quality, community support, and published research papers using the platform are key factors. Documentation quality and the ability to modify both hardware and software are essential for research use.
Price Context
At $1.1k (Official XiaoR GEEK store listed the base SamuRoid package at $1,072.55 and in stock; shipping, duties, and battery-shipping restrictions vary by destination.), the SamuRoid sits in the mid-range price tier for research robots. This competitive price point makes the technology accessible to a broad consumer base.
Availability
AvailableThe SamuRoid is currently available for purchase. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
SamuRoid: Strengths & Trade-offs
Engineering compromises and where this research robot excels
What the SamuRoid does well
Solid sensor coverage
The SamuRoid integrates 4 sensor types, providing good perceptual coverage for its intended applications. This sensor complement covers the essential modalities needed for effective research operation while keeping complexity manageable.
Versatile connectivity
Supporting 5 connectivity protocols gives the SamuRoid 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.
Broad capability set
With 11 distinct capabilities, the SamuRoid 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.
Extended battery life
A battery life of Approx. 1 hour (12 V, 3000 mAh battery) provides substantial operational runway. For research 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.
Currently available
Unlike many robots that remain in development or prototype stages, the SamuRoid is available for purchase today. This means you can evaluate the actual shipping product rather than making decisions based on projected specifications that may change before release.
Accessible price point
At $1,072.55, the SamuRoid is competitively priced within the research market. This price point makes the technology accessible to a broader audience and represents a lower barrier to entry for those exploring research robotics.
Note: This strengths and trade-offs assessment is based on the SamuRoid'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 XiaoR GEEK manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Research Robot Technology Works
Understanding the engineering behind this category
Research robots serve a fundamentally different purpose than commercial or consumer models. They are platforms for discovery — enabling scientists and engineers to test theories, develop algorithms, and push the boundaries of what robots can do. The technology in research robots prioritizes openness, flexibility, and access to raw data over consumer-friendly packaging or commercial reliability. Understanding this distinction is important for anyone considering a research robot platform.
Navigation & Mobility
Research robots typically expose their navigation systems at a much lower level than commercial products. Researchers can access raw sensor data, modify SLAM algorithms, implement custom path planners, and test novel navigation approaches. ROS (Robot Operating System) and ROS 2 compatibility is standard, providing a common framework for sharing navigation modules across the research community. This openness enables rapid iteration — a researcher can swap between different SLAM implementations, test new obstacle avoidance strategies, or develop entirely novel navigation paradigms without being locked into a vendor's proprietary stack.
The Role of AI
Research robots serve as physical testbeds for AI algorithms that may eventually appear in commercial products years later. Reinforcement learning, imitation learning, few-shot task learning, and human-robot interaction studies all require robot platforms that can execute AI-generated commands in the physical world. The gap between simulation (where training is cheap and fast) and reality (where physics is unforgiving) makes physical robot platforms essential for validating AI approaches. Research robots must support rapid deployment of new AI models without extensive integration work.
Sensor Fusion & Perception
Research platforms prioritize sensor modularity and data access. Standard mounting interfaces allow researchers to attach custom sensors alongside built-in ones. Raw sensor data streams (not just processed results) are accessible for developing novel perception algorithms. Precise time-stamping and synchronization across sensor streams enable accurate multi-modal fusion research. Many research robots include more sensors than strictly necessary for any single application, providing researchers with rich datasets for developing and testing new algorithms.
Power & Battery Management
Research robots balance operational runtime with practical lab use. Sessions of one to four hours are typical, with quick charging between experiments. Some research setups use tethered power for long-running experiments where battery limitations would interrupt data collection. Power monitoring and logging capabilities help researchers understand the energy costs of different behaviors and algorithms — important for developing efficient approaches that will eventually run on battery-constrained commercial systems.
Safety by Design
Research environments present unique safety challenges because robots are constantly being programmed with untested behaviors. Hardware safety limits (joint speed caps, force limits, emergency stops) must be robust regardless of software commands. Safety-rated monitored stop and speed monitoring ensure the robot cannot exceed safe operating parameters even when running experimental code. Collaborative operation standards apply when researchers work alongside the robot during experiments. Many labs implement layered safety with physical barriers for high-speed testing and open-area operation restricted to validated, lower-risk behaviors.
What's Next for Research Robots
Research robot platforms are becoming more accessible and capable. Cloud robotics enables remote experiment execution and shared datasets. Digital twins and high-fidelity simulators reduce the need for physical hardware time while improving sim-to-real transfer. Standardized benchmarks and open datasets enable fair comparison of results across labs. The democratization of robotics research — through lower-cost platforms, open-source software, and cloud infrastructure — is expanding who can contribute to advancing the field.
The SamuRoid by XiaoR GEEK incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the SamuRoid, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
SamuRoid in the Research Market
How this robot compares in the research landscape
Priced at $1,072.55, the SamuRoid sits in the mid-range of the research market — a competitive tier where buyers expect a strong balance of features and value.
The SamuRoid's 4 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 research applications.
Being currently available for purchase gives the SamuRoid 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.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of XiaoR GEEK's portfolio and market strategy, visit the XiaoR GEEK manufacturer page.
Deployment Readiness and Procurement Signals for SamuRoid
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the SamuRoid should be read as a research platform aimed at labs and development teams validating robotics workflows. ui44 currently tracks 11 capability signals, 4 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 XiaoR GEEK.
Integration posture
5 connectivity options
The profile lists Wi-Fi 2.4 GHz / 5 GHz, Bluetooth 5.0, PS2 controller, USB, FPV app / PC control, plus Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions 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 8 declared compatibility links.
Spec disclosure
4/7 core specs public
ui44 currently has 4 of 7 core physical and operating specs filled in for this model, leaving 3 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 useful for scouting, but it still leaves meaningful operational unknowns. If this robot is heading toward a pilot or purchase discussion, the next step should be a structured vendor Q&A that fills the remaining runtime, charging, payload, safety, or integration blanks before anyone builds ROI assumptions around it.
If you want a faster apples-to-apples read, compare the SamuRoid 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 XiaoR GEEK profile helps anchor this robot inside the wider product lineup.
Before you sign off on a pilot, confirm these points
- Confirm how the charging workflow works in practice, including charger count, swap options, and expected downtime.
- Verify travel speed and cycle time if the robot must keep up with people, lines, or service windows.
- Clarify usable payload or tool-load limits before planning material handling or mounted accessories.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the SamuRoid: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Research robot setup combines hardware assembly with software environment configuration. Unpack and assemble the platform following the manufacturer's documentation. Install the development framework — typically ROS or ROS 2 — and verify sensor connectivity. Calibrate all sensors using the manufacturer's tools and procedures. Set up the simulation environment (Gazebo, Isaac Sim, or equivalent) alongside the physical platform for parallel development. Establish version control for your experiment code and configuration. Document the initial calibration values and system state as your baseline for future reference. Plan network and computing infrastructure to handle the data rates your sensors will generate.
Ongoing Maintenance
Research robots need maintenance that preserves the precision required for valid experimental results. Regularly verify sensor calibration — drift in camera intrinsics or IMU biases can invalidate experiment data. Maintain clean workspace conditions to protect optical sensors. Document any hardware modifications or maintenance performed, as these can affect experimental reproducibility. Update software dependencies carefully, documenting versions used for each experiment. Joint and actuator wear in research robots that perform repetitive tasks should be monitored and factored into experimental design.
Software Updates & Long-Term Support
Research robot software updates require careful management to maintain experiment reproducibility. Document the exact software versions used for each experiment. Test updates in a separate environment before applying to your experiment platform. Contribute bug fixes and improvements back to the community when using open-source frameworks. Be aware that ROS and other framework updates may require code changes in your custom packages — budget time for integration testing after major framework updates.
Maximizing Longevity
Research robots often have longer productive lives than commercial products because they can be upgraded and repurposed. Extend your investment by maintaining clean mechanical and electrical systems, documenting all modifications for future lab members, and keeping spare parts for common wear items. When specific components become obsolete, community forums and lab networks can be valuable sources for replacements. Consider the platform's modularity when planning future research directions — a platform that can accept new sensors and actuators adapts to evolving research questions.
For XiaoR GEEK-specific support resources and documentation, visit the XiaoR GEEK page on ui44 or check the manufacturer's official website at XiaoR GEEK's product page.
Frequently Asked Questions
What is the SamuRoid?
The SamuRoid is a Research robot made by XiaoR GEEK. SamuRoid is XiaoR GEEK's Raspberry Pi 4B-powered miniature humanoid for robotics education, ROS development, and embodied-AI experiments. The official product page lists a 22-DOF bionic structure with high-voltage bus servos, a 1080p camera on a 2-DOF gimbal, USB microphone, MPU6050 IMU, Ubuntu 18.04 plus ROS Melodic, and Python/C++ programmability. Its AI features center on multimodal interaction: OpenCV vision tasks such as face recognition, color tracking, QR-code scanning, and target localization, plus API support for DeepSeek and Doubao so developers can combine voice, vision, and motion. XiaoR GEEK lists the base package as in stock, while independent coverage in April 2026 described it as a higher-end educational/research humanoid compared with simpler Raspberry Pi and servo-based robots. Buyers should note that it is a developer platform with an older ROS/Ubuntu stack and about one hour of official battery runtime, not a consumer home-helper robot. It features 4 sensor types, 5 connectivity protocols, and 11 distinct capabilities.
How much does the SamuRoid cost?
The SamuRoid is listed at $1,072.55 (Official XiaoR GEEK store listed the base SamuRoid package at $1,072.55 and in stock; shipping, duties, and battery-shipping restrictions vary by destination.). This places it in the mid-range tier for research robots. Prices may vary by region and retailer.
Is the SamuRoid available to buy?
Yes, the SamuRoid is currently available for purchase. Check XiaoR GEEK's official website or authorized retailers for the latest stock and ordering options.
What sensors does the SamuRoid have?
The SamuRoid is equipped with 4 sensor types: Robot-Eye 4.0 1080p HD USB camera on 2-DOF gimbal, MPU6050 6-axis gyroscope / IMU, USB microphone, 40+ modular sensor expansion via PWR.ROSBOT.X board. These sensors work together through sensor fusion to provide comprehensive environmental awareness for autonomous operation. See the sensor analysis section for details.
How long does the SamuRoid battery last?
The SamuRoid has a rated battery life of Approx. 1 hour (12 V, 3000 mAh battery). Actual battery performance may vary based on usage intensity, ambient temperature, and specific tasks being performed. Heavy workloads like continuous navigation and sensor processing will consume battery faster than idle or standby modes.
What AI does the SamuRoid use?
The SamuRoid is powered by Raspberry Pi 4B (4 GB RAM) running Ubuntu 18.04 + ROS Melodic, OpenCV vision, inverse-kinematics and inverted-pendulum gait control, with API support for DeepSeek and Doubao multimodal LLM interactions. This AI platform handles the robot's perception processing, decision-making, and autonomous behavior. The sophistication of the AI directly impacts how well the robot handles unexpected situations, learns from its environment, and improves over time.
How does the SamuRoid compare to the Roboto Origin?
The SamuRoid and Roboto Origin are both research robots, but they differ in key specifications, pricing, and manufacturer approach. Use the side-by-side comparison tool to see detailed differences in specs, sensors, and capabilities. You can also browse other similar robots below.
Does the SamuRoid work with smart home systems?
Yes, the SamuRoid is compatible with: Ubuntu 18.04, ROS Melodic, Python, C++, OpenCV, Raspberry Pi 4B, DeepSeek API, Doubao API. This ecosystem integration allows the robot to work alongside your existing smart home devices and platforms rather than operating as an isolated system.
How current is the SamuRoid data on ui44?
The SamuRoid specifications on ui44 were last verified on 2026-04-29. All data is sourced from official XiaoR GEEK documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All SamuRoid data on ui44 is verified against official XiaoR GEEK sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-29. Official source: XiaoR GEEK product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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