AIMC Topic: Walking

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Integrated decision-control for social robot autonomous navigation considering nonlinear dynamics model.

PloS one
Reinforcement learning (RL) has demonstrated significant potential in social robot autonomous navigation, yet existing research lacks in-depth discussion on the feasibility of navigation strategies. Therefore, this paper proposes an Integrated Decisi...

Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.

Bioinspiration & biomimetics
Stick insects exhibit remarkable adaptive walking capabilities across diverse environments; however, the mechanisms underlying their gait transitions remain poorly understood. Although reinforcement learning (RL) has been employed to generate insect-...

A comparative study of ANN-based forward dynamics and inverse dynamics in human gait analysis.

Journal of biomechanics
This study investigates the similarities and differences in the analysis of human walking motion between the traditional inverse dynamics method and the forward dynamics method that employs an Artificial Neural Network (ANN)-based controller. Nine he...

Design and Control of a High-Dynamic Modular Reconfigurable Legged Robotic System.

Journal of visualized experiments : JoVE
Legged robots possess exceptional terrain adaptability, making them an ideal platform for outdoor exploration and cargo transport across complex terrains. The number and configuration of legs play a crucial role in their performance; however, most cu...

Harnessing Fast Fourier Transform for Rapid Community Travel Distance and Step Estimation in Children with Duchenne Muscular Dystrophy.

Sensors (Basel, Switzerland)
Accurate estimation of gait characteristics, including step length, step velocity, and travel distance, is critical for assessing mobility in toddlers, children, and teens with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers. Th...

Gait Characteristics Associated with Walking Speed in Postoperative Patients with Adult Spinal Deformity Extracted by Machine Learning.

Annals of biomedical engineering
PURPOSE: Patients with adult spinal deformity (ASD) are unable to walk faster even after spinal fixation. Gait rehabilitation that focuses on movements associated with reduced speed may help improve gait function. This study aimed to identify the gai...

Effects of exoskeleton rehabilitation robot training on neuroplasticity and lower limb motor function in patients with stroke.

BMC neurology
BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower limb motor function of stroke patients. Recovery of motor function after stroke is closely related to neuroplasticity in the motor cortex and associated ...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

PloS one
In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents to alleviate stress and enhance emotional well-being. From the perspective of virtual-physical interaction, this study integrates social media data w...

Urban walkability through different lenses: A comparative study of GPT-4o and human perceptions.

PloS one
Urban environments significantly shape our well-being, behavior, and overall quality of life. Assessing urban environments, particularly walkability, has traditionally relied on computer vision and machine learning algorithms. However, these approach...

Marker based and markerless motion capture for equestrian rider kinematic analysis: A comparative study.

Journal of biomechanics
The study hypothesised that a markerless motion capture system can provide kinematic data comparable to a traditional marker-based system for riders mounted on a horse. The objective was to assess the markerless system's accuracy by directly comparin...