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Exoskeleton

Exia

Built by German Bionic · DE

Exia

Overview

Exia is an AI-powered exoskeleton designed to support lifting, lowering, walking, carrying, and working in bent-over postures in physically demanding workplaces. It provides up to 38 kg (84 lbs) of lifting support per movement, relieving strain during lifting, carrying, loading, and bent-over work. The device helps prevent injuries and musculoskeletal disorders (MSDs) and learns with every use, continuously improving through AI. It is rugged, fully dust- and waterproof, and connects to digital workflows and data platforms. Exia is proven in real-world industrial and care settings.

Detailed specifications

Motion & kinematics1
Joints Actuated
hip,knee,ankle,trunk
Sensors1
Sensor Suite
imu,force_torque
Safety & certifications1
Safety Features
emergency_stop,fall_detection,low_battery_lockdown
Other26
Washable
wipeable
Load Path
hip
Mobile App
both
Price Tier
50-100K
Assist Mode
active
Ota Updates
true
Applications
industrial_lifting,warehouse_logistics,construction,elderly_care
Sub Category
industrial_lift_assist
Actuator Type
electric_motor
Body Coverage
full_body
Pricing Model
purchase
Service Model
on_site,remote_diagnostics
Frame Material
carbon_fiber,aluminum
Cloud Telemetry
required
Company Country
DE
Control Strategy
intent_detection,gait_phase_detection,emg_driven
Deployment Notes
Used in logistics, manufacturing, construction, nursing, elderly care, hospitals, and clinics.
Industries Served
logistics,manufacturing,construction,healthcare
Network Protocols
wifi_6,bluetooth
Max Lift Assist Kg
38
Availability Status
available
Data Export Formats
csv,pdf_report
Regulatory Clearance
CE_machinery
Additional Information
- AI-powered exoskeleton with machine learning capabilities - Supports up to 38 kg per lifting movement - Designed for both industrial and care applications - Features over-the-air updates and digital workflow integration - Robust, dustproof, and waterproof design - Tried and tested in real work situations
Deployment Environment
both
Ergonomic Score Method
REBA,RULA

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