MAiRA Intelligent Robot
MAiRA (Multi-sensing Intelligent Robot Assistant) represents Han’s Robot’s flagship intelligent collaborative platform, integrating advanced sensor fusion and AI capabilities for demanding applications in medical, aerospace, and precision manufacturing sectors.
Product Overview
Released in March 2021, MAiRA defines what Han’s Robot terms the “2.0 generation” of collaborative robots. The platform combines seven degrees of freedom with broad sensor integration and an open software architecture, enabling applications previously beyond the reach of conventional cobots.
The “POSS” framework characterizes the design philosophy: Performance, Openness, Safety, and Smart. Each aspect reflects targeted engineering decisions that position MAiRA for high-value applications where standard collaborative robots prove insufficient.
Key Features
Designed for medical assistance and precision manufacturing, MAiRA combines seven-axis motion with ±0.01mm repeatability and six-DOF force sensing at 1 kHz update rate.
- Seven-Axis Configuration: Enhanced flexibility and workspace access compared to 6-axis designs, enabling complex reach-around motions
- Sub-Millimeter Repeatability: ±0.01mm at 1.4m reach, matching or exceeding industrial robot precision
- Integrated Multi-Sensing: 6-DOF force sensor, 3D vision, tactile sensing, audio, temperature, accelerometer, and gyroscope
- Neuron.OS Operating System: Open platform with SDK access to all sensor and joint-level data
- AI CORTEX Module: Voice-commanded programming and future self-learning capabilities
Technical Specifications
At 18 kg maximum payload and 1600 mm reach, MAiRA delivers PL=e safety-rated collaborative operation with open SDK access to all sensor and joint data.
| Parameter | Specification |
|---|---|
| Degrees of Freedom | 7 |
| Maximum Payload | 18 kg |
| Maximum Reach | 1600 mm |
| Repeatability | ±0.01mm (at 1.4m reach) |
| Maximum End-Effector Speed | 4.5 m/s |
| Force Sensor Resolution | 0.1 N |
| Force Update Rate | 1 kHz |
| Safety Rating | PL=e (highest level) |
| Communication | Open SDK, EtherCAT |
Sensor Integration
Force/Torque Sensing
The integrated 6-DOF force sensor mounted at the tool flange detects forces as low as 0.1N with update rates of 1000Hz. This sensitivity enables:
- Contact detection for safe human-robot collaboration
- Compliant motion during assembly tasks
- Force feedback for tele-operation applications
- Quality inspection through force signature analysis
Vision System
The integrated 3D vision sensor provides:
- Object recognition and localization
- Obstacle detection for path planning
- Quality inspection capabilities
- Human presence detection
Human Detection Sensor (HDS)
The proprietary HDS system detects personnel within a 3-meter radius, enabling graduated safety responses:
- Full-speed operation when area is clear
- Reduced speed when humans detected nearby
- Immediate stop on close proximity
Clinical Applications
Surgical Assistance
The combination of high repeatability (±0.01mm) and sensitive force control makes MAiRA suitable for surgical camera positioning, instrument holding, and other operating room tasks requiring stability and precision. The seven-axis configuration enables approach angles difficult for 6-axis robots.
Rehabilitation and Therapy
Force-controlled interactions support rehabilitation exercises where consistent, adjustable resistance benefits patient recovery. The AI capabilities enable adaptation of therapy protocols based on patient response.
Precision Medical Device Assembly
In medical device manufacturing, MAiRA performs micro-assembly tasks requiring sub-millimeter accuracy combined with force-limited contact. The open software platform enables integration with quality management systems.
Software Architecture
Neuron.OS Platform
Han’s Robot developed the proprietary Neuron.OS operating system providing:
- Open APIs for sensor data access
- Third-party application development support
- Real-time motion control interfaces
- Safety system integration
Partners access all sensor streams and joint-level data through the SDK, enabling development of specialized applications for medical, aerospace, and other demanding sectors.
AI CORTEX Integration
The AI module enables:
- Voice-commanded task programming
- Natural language interaction
- Planned self-learning and inter-robot learning capabilities
- Adaptive behavior based on operational experience
Safety Architecture
MAiRA implements PL=e level safety certification (the highest rating under ISO 13849) through:
- Redundant sensor systems
- Redundant communication pathways
- Redundant control architecture
- Continuous self-monitoring and diagnostics
The safety design enables operation in close proximity to humans without protective fencing, critical for collaborative applications in medical and service environments.
Regulatory Status
| Region | Status | Notes |
|---|---|---|
| China (NMPA) | Not Registered | General-purpose robot platform |
| Europe (CE) | CE Marking | Machine Directive compliance |
| USA (FDA) | Not Registered | Industrial equipment classification |
MAiRA is a general-purpose robotic platform. Medical applications require system-level certification by integrators developing specific clinical solutions.
Frequently Asked Questions
How does MAiRA compare to other 7-axis robots?
MAiRA combines high payload (18kg) with exceptional repeatability (±0.01mm) and broad sensor integration. The open Neuron.OS platform distinguishes it from closed-ecosystem competitors, enabling customization for specialized applications.
What is required to deploy MAiRA in medical settings?
MAiRA serves as the robotic platform; medical deployment requires system integration including appropriate end-effectors, software, and clinical validation. The integrated system may require medical device registration depending on the specific application and jurisdiction.
Can MAiRA learn new tasks autonomously?
Current capabilities include voice-commanded programming and drag teaching for task creation. The AI CORTEX platform roadmap includes self-learning and inter-robot learning features for future releases.
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Sources
Publicly available references used for the data on this page. See data methodology for verification standards.
