AIMC Topic: Walking

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Sideways crab-walking is faster and more efficient than forward walking for a hexapod robot.

Bioinspiration & biomimetics
Articulated legs enable the selection of robot gaits, including walking in different directions such as forward or sideways. For longer distances, the best gaits might maximize velocity or minimize the cost of transport (COT). While animals often hav...

Design of a control framework for lower limb exoskeleton rehabilitation robot based on predictive assessment.

Clinical biomechanics (Bristol, Avon)
BACKGROUND: Patients suffering from lower limb dyskinesia, especially in early stages of rehabilitation, have weak residual muscle strength in affected limb and require passive training by the lower limb rehabilitation robot. Anatomy indicates that t...

Identifying the Posture of Young Adults in Walking Videos by Using a Fusion Artificial Intelligent Method.

Biosensors
Many neurological and musculoskeletal disorders are associated with problems related to postural movement. Noninvasive tracking devices are used to record, analyze, measure, and detect the postural control of the body, which may indicate health probl...

Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots.

IEEE transactions on neural networks and learning systems
Walking animals can continuously adapt their locomotion to deal with unpredictable changing environments. They can also take proactive steps to avoid colliding with an obstacle. In this study, we aim to realize such features for autonomous walking ro...

Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

Journal of neuroengineering and rehabilitation
BACKGROUND: Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence suggests that Lokomat therapy is equally effective as but not superior to standard therapy approaches. One reason might be that the Lokomat parameters ...

Real-Time Hierarchical Classification of Time Series Data for Locomotion Mode Detection.

IEEE journal of biomedical and health informatics
OBJECTIVE: Accurate real-time estimation of motion intent is critical for rendering useful assistance using wearable robotic prosthetic and exoskeleton devices during user-initiated motions. We aim to evaluate hierarchical classification as a strateg...

Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders.

Sensors (Basel, Switzerland)
Forecasted gait trajectories of children could be used as feedforward input to control lower limb robotic devices, such as exoskeletons and actuated orthotic devices (e.g., Powered Ankle Foot Orthosis-PAFO). Several studies have forecasted healthy ga...

Real-Time Footprint Planning and Model Predictive Control Based Method for Stable Biped Walking.

Computational intelligence and neuroscience
In order to walk in a physical environment, the biped will encounter various external disturbances, and walking under persistent conditions is still challenging. This paper tries to improve the push recovery performance based on capture point (CP) an...

The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.

Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses
PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of patients with neurological disorders who have used the Lokomat Augmented Feedback module, a robot-assisted gait training device.

Development of a Prototype Overground Pelvic Obliquity Support Robot for Rehabilitation of Hemiplegia Gait.

Sensors (Basel, Switzerland)
In this work, we present the overground prototype gait-rehabilitation robot for using motion assistance and training for paralyzed patients. In contrast to the existing gait-rehabilitation robots, which focus on the sagittal plane motion of the hip a...