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Lower Limb Exoskeleton Robot 3000-Step

SKU Physio-EQ-0125

The 3000-Step lower limb exoskeleton robotic gait trainer stimulates the remodeling of the nervous system, rehabilitate locomotor function and improves body functions through high-intensity, repetitive walking rehabilitation training. It is an ideal choice for home rehabilitation.

Accelerate recovery and restore mobility with the NEUBOTICS 3000-Step Lower Limb Exoskeleton Robot - Robowalk, a state-of-the-art locomotor rehabilitation device engineered for high-intensity, repetitive gait training. Designed to stimulate neural remodeling and rebuild muscle strength, this wheeled physiotherapy system safely assists patients in transitioning from sitting to standing, and standing to walking.

Key Features & Therapeutic Benefits

  • Neurological & Muscular Rehabilitation: Facilitates repetitive physiological gait training to restore joint motion, enhance muscle strength, and promote nervous system remodeling.

  • Comprehensive Mobility Support: Securely assists patients with standing, balanced weight-bearing, and guided walking exercises, minimizing the risk of falls during physical therapy.

  • Ergonomic & Accessible Design: Features an easy-to-wear harness system and an unimpeded saddle design that does not hinder natural walking movements or patient transfers.

  • Versatile Environment Application: Built with a sturdy, metal frame equipped with secure, multi-directional locking casters, making it fully adaptable for use in hospitals, rehabilitation centers, parks, and home environments.

  • Customizable Patient Fit: Engineered to accommodate a wide range of patient profiles, seamlessly adjusting to support different body types.

Product Function : 

  • Stretching Training Mode
  • Knee-Lifting Training Mode
  • In-Place Stepping Training Mode
  • Walking Backward Training Mode
  • Continuous Walking Training Mode

Quantity

Technical Specifications

Brand Neubotics
Type Digital
Applicable Weight 100 Kg
Applicable Height 150~190cm
Features Easy to Wear
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