Commercial model
$70,000 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Release
Jan 1, 2024
Price
$70,000
Connectivity
4
Status
Active
Height
Adjustable (torso on mobile base tripod)
Weight
50kg
Battery
8 hours (mobile base, per official hardware docs)
Speed
2.5 m/s (mobile base)
Payload
3kg per arm
Research
Active
Reachy 2
An open-source humanoid robot built by French company Pollen Robotics for research in manipulation, human-robot interaction, and embodied AI. Features two 7-DoF bio-inspired arms, a 3-DoF expressive head, and an omnidirectional mobile base with lidar. Partnered with Hugging Face on their LeRobot open-source robotics initiative. Fully open-source with ROS 2 support and a Python SDK. Designed for researchers, developers, and robotics enthusiasts who want a customizable platform. In April 2025, Pollen Robotics was acquired by Hugging Face, which plans to fully open-source both hardware and software.
Listed price
$70,000
Official Hugging Face/Pollen Robotics acquisition post says Reachy 2 can be ordered for $70,000 by emailing Pollen Robotics sales.
Release window
Jan 1, 2024
Current status
Active
Pollen Robotics
Last verified
May 25, 2026
Share this robot
Open a plain share composer on X or Bluesky for this robot profile.
Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind Reachy 2.
Technical Specifications
Height
Adjustable (torso on mobile base tripod)
Weight
50kg
Dimensions
Omnidirectional mobile base, upper-body humanoid form
Battery Life
8 hours (mobile base, per official hardware docs)
Charging Time
Not disclosed
Max Speed
2.5 m/s (mobile base)
Payload
3kg per arm
Tech Components
Sensors (6)
Operational profile
How this robot is configured
Capabilities
8
Connectivity
4
Key capabilities
Object manipulation (pick and place)VR teleoperationAutonomous navigationSpeech interactionAI-driven perception (object detection, pose estimation)Emotion display via head antennas and motionSimulation support (Gazebo, MuJoCo)Learning from demonstration
Ecosystem fit
ROS 2Python SDKDockerGazeboMuJoCo
Explore further
Benchmark set
Compare with similar robots
Shortcuts to the closest alternatives in the current ui44 set.
Research
QRIO
Sony
Price TBA
Discontinued
Release is 21y olderBattery life is 7.0h shorter1 shared connectivity protocol
Compare side by side
Research
ASIMO
Honda
Price TBA
Discontinued
Release is 24y olderBattery life is 7.3h shorter1 shared connectivity protocol
Compare side by side
Research
TIAGo
PAL Robotics
Price TBA
Active
Release is 9y olderBattery life is 3.0h shorter2 shared connectivity protocols
Compare side by side
Research
REEM-C
PAL Robotics
Price TBA
Active
Release is 11y olderBattery life is 5.0h shorter2 shared connectivity protocols
Compare side by side
Coverage
Related Articles
Reporting and explainers linked to Reachy 2.
Blog
2026-05-31 · ui44 Team
DexBench: Robot Hand Skills Home Humanoids Need
Read article
Blog
2026-05-31 · ui44 Team
Can Street View Train Home Robots?
Read article
Blog
2026-05-27 · ui44 Team
Rainbow RB-Y1: Samsung’s Arms-on-Wheels Bet
Read article
Blog
2026-05-14 · ui44 Team
Will Simulated Kitchens Train Home Robots?
Read article
Blog
2026-05-13 · ui44 Team
Neuralink Robot Arm: Can BCI Control Home Robots?
Read article
About the Reachy 2
6Sensors4Protocols8Capabilities$70kListed Price
The Reachy 2 is a Research robot built by Pollen Robotics. An open-source humanoid robot built by French company Pollen Robotics for research in manipulation, human-robot interaction, and embodied AI. Features two 7-DoF bio-inspired arms, a 3-DoF expressive head, and an omnidirectional mobile base with lidar. Partnered with Hugging Face on their LeRobot open-source robotics initiative. Fully open-source with ROS 2 support and a Python SDK. Designed for researchers, developers, and robotics enthusiasts who want a customizable platform. In April 2025, Pollen Robotics was acquired by Hugging Face, which plans to fully open-source both hardware and software.
At a listed price of $70,000, it positions itself in the enterprise segment of the research market. See all Pollen Robotics robots on the Pollen Robotics page.
Spec Breakdown
Detailed specifications for the Reachy 2
Height
Adjustable (torso on mobile base tripod)At Adjustable (torso on mobile base tripod), the Reachy 2 is sized for its intended operating environment and use cases.
Weight
50kgWeighing 50kg, the Reachy 2 balances structural integrity with portability and maneuverability.
Dimensions
Omnidirectional mobile base, upper-body humanoid formThe overall dimensions of Omnidirectional mobile base, upper-body humanoid form define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
8 hours (mobile base, per official hardware docs)With a battery life of 8 hours (mobile base, per official hardware docs), the Reachy 2 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
2.5 m/s (mobile base)A top speed of 2.5 m/s (mobile base) is calibrated for the robot's primary operating environment and safety requirements.
Payload Capacity
3kg per armA payload capacity of 3kg per arm determines what the robot can carry or manipulate. This is a critical spec for practical applications where the robot needs to handle physical objects.
The Reachy 2 uses ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception 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.
Reachy 2 Sensor Suite
The Reachy 2 integrates 6 sensor types, forming the perceptual foundation that enables autonomous operation.
Stereo RGB Cameras (fish-eye)
Details →
Time-of-Flight Depth Sensor (OAK-FFC ToF 33D)
Details →
RGB-D Camera (Orbbec Gemini 336)
Details →
Lidar
Details →
IMU
Details →
Microphones
Details →
This sensor configuration enables the Reachy 2 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
Reachy 2 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 Reachy 2 offers 8 distinct capabilities, each contributing to the robot's practical utility.
Object manipulation (pick and place)
VR teleoperation
Autonomous navigation
Speech interaction
AI-driven perception (object detection, pose estimation)
Emotion display via head antennas and motion
Simulation support (Gazebo, MuJoCo)
Learning from demonstration
These capabilities work together with the robot's 6 onboard sensor types and ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception AI platform to deliver practical, real-world performance.
Ecosystem Integration
The Reachy 2 integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
ROS 2
Python SDK
Docker
Gazebo
MuJoCo
This ecosystem compatibility enables the Reachy 2 to work as part of a broader automation setup rather than operating in isolation.
Reachy 2 Capabilities
8
Capabilities
6
Sensor Types
AI
ROS 2 + Python SDK, compatib…
Autonomous navigation
Autonomous navigation allows the Reachy 2 to move through its environment without human guidance, planning efficient paths around obstacles and adapting to changes in real time. For a research robot, this involves simultaneous localization and mapping (SLAM) to build and maintain environmental models, path planning algorithms to find efficient routes, and reactive obstacle avoidance for unexpected situations. The complexity of autonomous navigation scales dramatically with the environment — navigating a structured warehouse is substantially different from navigating a cluttered home or outdoor space. The Reachy 2's navigation system must handle the specific challenges of its intended deployment scenarios reliably and repeatedly.
Additional Capabilities
Object manipulation (pick and place)
VR teleoperation
Speech interaction
AI-driven perception (object detection, pose estimation)
Emotion display via head antennas and motion
Simulation support (Gazebo, MuJoCo)
Learning from demonstration
Connectivity & Integration
How the Reachy 2 communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
✓ Wi-Fi for local network and cloud access — enabling the Reachy 2 to participate in various networking scenarios.
Reachy 2 Technology Stack Overview
The Reachy 2 by Pollen Robotics integrates 11 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of Adjustable (torso on mobile base tripod), a weight of 50kg, a top speed of 2.5 m/s (mobile base), providing the foundation on which this technology stack operates.
Perception — 6 Sensor Types
The perception layer is built on Stereo RGB Cameras (fish-eye), Time-of-Flight Depth Sensor (OAK-FFC ToF 33D), RGB-D Camera (Orbbec Gemini 336), Lidar, IMU, Microphones. 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 — 4 Protocols
Intelligence — ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception
ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception 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 Reachy 2?
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 $70k (Official Hugging Face/Pollen Robotics acquisition post says Reachy 2 can be ordered for $70,000 by emailing Pollen Robotics sales.), the Reachy 2 sits in the enterprise price tier for research robots. This price point typically includes professional support, integration services, and ongoing software updates.
Availability
ActiveThe Reachy 2 is in active commercial production and currently sold by Pollen Robotics. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
Reachy 2: Strengths & Trade-offs
Engineering compromises and where this research robot excels
What the Reachy 2 does well
Extensive sensor suite
With 6 sensor types onboard, the Reachy 2 has one of the more comprehensive perception systems in the research category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
Versatile connectivity
Supporting 4 connectivity protocols gives the Reachy 2 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 8 distinct capabilities, the Reachy 2 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 8 hours (mobile base, per official hardware docs) 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.
Strong mobility performance
A top speed of 2.5 m/s (mobile base) provides the Reachy 2 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.
What to consider carefully
Premium investment required
At $70,000, the Reachy 2 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.
Note: This strengths and trade-offs assessment is based on the Reachy 2'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 Pollen Robotics 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 Reachy 2 by Pollen Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the Reachy 2, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
Reachy 2 in the Research Market
How this robot compares in the research landscape
With a price point of $70,000, the Reachy 2 is squarely in the enterprise/professional segment. This pricing typically includes integration support, commercial-grade warranties, and ongoing software updates.
With 6 sensor types, the Reachy 2 has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the research category, enabling more robust autonomous operation in varied conditions.
Being currently available for purchase gives the Reachy 2 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 Pollen Robotics's portfolio and market strategy, visit the Pollen Robotics manufacturer page.
Deployment Readiness and Procurement Signals for Reachy 2
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the Reachy 2 should be read as a research platform aimed at labs and development teams validating robotics workflows. ui44 currently tracks 8 capability signals, 6 sensor inputs, and a last verification date of 2026-05-25. 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 Pollen Robotics.
Integration posture
4 connectivity options
The profile lists Wi-Fi, Ethernet, USB, ROS 2, plus ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception 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 5 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 research 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 Reachy 2 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 Pollen Robotics 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.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the Reachy 2: 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 Pollen Robotics-specific support resources and documentation, visit the Pollen Robotics page on ui44 or check the manufacturer's official website at Pollen Robotics's product page.
Frequently Asked Questions
What is the Reachy 2?
The Reachy 2 is a Research robot made by Pollen Robotics. An open-source humanoid robot built by French company Pollen Robotics for research in manipulation, human-robot interaction, and embodied AI. Features two 7-DoF bio-inspired arms, a 3-DoF expressive head, and an omnidirectional mobile base with lidar. Partnered with Hugging Face on their LeRobot open-source robotics initiative. Fully open-source with ROS 2 support and a Python SDK. Designed for researchers, developers, and robotics enthusiasts who want a customizable platform. In April 2025, Pollen Robotics was acquired by Hugging Face, which plans to fully open-source both hardware and software. It features 6 sensor types, 4 connectivity protocols, and 8 distinct capabilities.
How much does the Reachy 2 cost?
The Reachy 2 is listed at $70,000 (Official Hugging Face/Pollen Robotics acquisition post says Reachy 2 can be ordered for $70,000 by emailing Pollen Robotics sales.). This places it in the enterprise tier for research robots. Prices may vary by region and retailer.
Is the Reachy 2 available to buy?
Yes, the Reachy 2 is in active commercial production and currently sold by Pollen Robotics. Check Pollen Robotics's official website or authorized retailers for the latest stock and ordering options.
What sensors does the Reachy 2 have?
The Reachy 2 is equipped with 6 sensor types: Stereo RGB Cameras (fish-eye), Time-of-Flight Depth Sensor (OAK-FFC ToF 33D), RGB-D Camera (Orbbec Gemini 336), Lidar, IMU, Microphones. 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 Reachy 2 battery last?
The Reachy 2 has a rated battery life of 8 hours (mobile base, per official hardware docs). 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 Reachy 2 use?
The Reachy 2 is powered by ROS 2 + Python SDK, compatible with Hugging Face LeRobot, Pollen-Vision for perception. 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 Reachy 2 compare to the QRIO?
The Reachy 2 and QRIO 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 Reachy 2 work with smart home systems?
Yes, the Reachy 2 is compatible with: ROS 2, Python SDK, Docker, Gazebo, MuJoCo. 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 Reachy 2 data on ui44?
The Reachy 2 specifications on ui44 were last verified on 2026-05-25. All data is sourced from official Pollen Robotics documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All Reachy 2 data on ui44 is verified against official Pollen Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-25. Official source: Pollen Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
Explore More on ui44
Manufacturer
Category
Explore more research robots
See how the Reachy 2 stacks up — compare specs, browse the research category, or search the full database.