AIMC Topic: Walking

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Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

Science robotics Apr 10, 2024
We investigated whether deep reinforcement learning (deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies. We used deep RL to train a hu...
Computer Simulation Walking Soccer Learning Robotics
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IMU-Based Real-Time Estimation of Gait Phase Using Multi-Resolution Neural Networks.

Sensors (Basel, Switzerland) Apr 9, 2024
This work presents a real-time gait phase estimator using thigh- and shank-mounted inertial measurement units (IMUs). A multi-rate convolutional neural network (CNN) was trained to estimate gait phase for a dataset of 16 participants walking on an in...
Female Young Adult Adult Neural Networks, Computer Algorithms Gait Walking Speed Male Walking Humans
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Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains.

Nature communications Apr 9, 2024
Quadruped animals are capable of seamless transitions between different gaits. While energy efficiency appears to be one of the reasons for changing gaits, other determinant factors likely play a role too, including terrain properties. In this articl...
Animals Robotics Locomotion Gait Spinal Cord Walking Brain
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ROBot-assisted physical training of older patients during acUte hospitaliSaTion-study protocol for a randomised controlled trial (ROBUST).

Trials Apr 4, 2024
BACKGROUND: During hospitalisation, older patients spend most of their time passive in bed, which increases the risk of functional decline and negative adverse outcomes. Our aim is to examine the impact of robot-assisted physical training on function...
Hospitalization Aged Quality of Life Robotics Treatment Outcome Walking Humans Randomized Controlled Trials as Topic Physical Therapy Modalities
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A Review of Intelligent Walking Support Robots: Aiding Sit-to-Stand Transition and Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 27, 2024
Nowadays, numerous countries are facing the challenge of aging population. Additionally, the number of people with reduced mobility due to physical illness is increasing. In response to this issue, robots used for walking assistance and sit-to-stand ...
Walking Aging Exercise Therapy Humans Movement Robotics Aged
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Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait.

IEEE transactions on bio-medical engineering Mar 20, 2024
OBJECTIVE: As metabolic cost is a primary factor influencing humans' gait, we want to deepen our understanding of metabolic energy expenditure models. Therefore, this paper identifies the parameters and input variables, such as muscle or joint states...
Humans Muscles Neural Networks, Computer Walking Gait Biomechanical Phenomena Energy Metabolism
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Estimating human joint moments unifies exoskeleton control, reducing user effort.

Science robotics Mar 20, 2024
Robotic lower-limb exoskeletons can augment human mobility, but current systems require extensive, context-specific considerations, limiting their real-world viability. Here, we present a unified exoskeleton control framework that autonomously adapts...
Walking Humans Lower Extremity Exoskeleton Device Biomechanical Phenomena Robotics
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Integrated Modular Neural Control for Versatile Locomotion and Object Transportation of a Dung Beetle-Like Robot.

IEEE transactions on cybernetics Mar 18, 2024
Dung beetles can effectively transport dung pallets of various sizes in any direction across uneven terrain. While this impressive ability can inspire new locomotion and object transportation solutions in multilegged (insect-like) robots, to date, mo...
Robotics Walking Coleoptera Locomotion Animals
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Human Locomotion Databases: A Systematic Review.

IEEE journal of biomedical and health informatics Mar 6, 2024
The analysis of human locomotion is highly dependent on the quantity and quality of available data to obtain reliable evidence, due to the great variability of gait characteristics between subjects. Researchers usually have to make significant effort...
Locomotion Gait Datasets as Topic Humans Algorithms Walking Artificial Intelligence
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Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis.

Osteoarthritis and cartilage Mar 3, 2024
OBJECTIVE: To develop and validate a neural network to estimate hip contact forces (HCF), and lower body kinematics and kinetics during walking in individuals with hip osteoarthritis (OA) using synthesised anatomical key points and electromyography. ...
Gait Hip Joint Weight-Bearing Humans Electromyography Osteoarthritis, Hip Aged Middle Aged Walking Biomechanical Phenomena Muscle, Skeletal Male Neural Networks, Computer Female
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