Exoskeleton Hank

  • Available Quantity: 1 unit
  • Official Supplier: GOGOA MOBILITY ROBOTS

Subjects

  • Biomechanics and Neural Control of Movement
  • Biomedical Instrumentation and Robotics
  • TFG
Technical Description

The Hank Exoskeleton is a research-grade, lower-limb robotic exoskeleton engineered to provide active gait rehabilitation and mobility assistance for individuals with neurological or motor impairments. Featuring independent motorized actuation across multiple lower-body joints, the system actively mirrors human ambulatory kinematics to correct gait anomalies and promote neuroplasticity. Within biomedical engineering, it functions as an advanced platform for investigating human-machine physical interfaces, real-time torque control loops, electromyography (EMG) biofeedback integration, and wearable kinetic state tracking.

Technical Features & Capabilities
  • Motorized Joint Actuation: Multi-joint electrical motors supply customized torque patterns directly to the hips, knees, and ankles during gait phase transitions.
  • Anthropometric Adjustment: Scalable hardware design ensures comfortable load distribution and anatomical alignment for a broad range of patient heights and weights.
  • Integrated Sensor Fusion: Equipped with real-time encoder feedback, pressure sensors, and inertial measurement units (IMUs) to analyze ground reaction forces and segment angles.
Software & Integration
  • Compatible Software: GoGoaNet (Proprietary software).
  • Functionality: Driven by the GoGoaNet software platform to enable custom gait configuration parameters, patient profile logging, real-time telemetry streaming, and post-session kinetic performance evaluation.
GoGoaNet

Exoskeleton Hand of Hope

  • Available Quantity: 1 unit
  • Official Supplier: GOGOA MOBILITY ROBOTS

Subjects

  • Biomechanics and Neural Control of Movement
  • Biomedical Instrumentation and Robotics
  • TFG
Technical Description

The Hand of Hope is an advanced electromyography-driven (EMG) robotic hand-orthosis exoskeleton designed for upper-limb neurorehabilitation and hand function recovery. By detecting surface electromyographic signals directly from the patient’s forearm muscles, the device decodes underlying motor intent and actively assists the patient in executing grasp, release, and finger extension gestures. It serves as a vital tool for studying bio-signal processing, muscle activation patterns, intention-driven closed-loop robotics, and therapeutic stroke rehabilitation workflows.

Technical Features & Capabilities
  • Intent-Driven Myoelectric Control: Utilizes advanced surface EMG sensor interfaces to process raw muscle activation data and convert it into immediate motorized hand assistance.
  • Individual Finger Extension Kinematics: Mechanical linkage system designed to guide fingers through natural physiological flexion and extension trajectories safely.
  • Interactive Neurological Biofeedback: Visually pairs voluntary muscle effort with physical movement, strengthening damaged neural pathways through targeted active training.
Software & Integration
  • Compatible Software: HoH Research Model (Proprietary software).
  • Functionality: Powered by the proprietary HoH Research Model software suite to provide granular access to raw muscle signal graphs, adjustable motor trigger thresholds, specialized gaming tasks for active rehabilitation, and detailed muscle performance logs.
Software