AIMC Topic: Adaptation, Physiological

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Evolving neural networks through bio-inspired parent selection in dynamic environments.

Bio Systems
Environmental variability often degrades the performance of algorithms designed to capture the global convergence of a given search space. Several approaches have been developed to challenge environmental uncertainty by incorporating biologically ins...

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...

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

Scandinavian journal of medicine & science in sports
The study aimed to investigate the effectiveness of an individualized power training program based on force-velocity (FV) profiling on physical function, muscle morphology, and neuromuscular adaptations in older men. Forty-nine healthy men (68 ± 5 ye...

CPG-based generation strategy of variable rhythmic chewing movements for a dental testing chewing robot.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The rhythmic chewing movement pattern is dynamically reshaped to adapt to a variable chewing environment. The variance affects the wear performance of dental prostheses. This study was aimed to generate these variable rhythmic chewing movements for d...

TALBOT: A Track-Leg Transformable Robot.

Sensors (Basel, Switzerland)
This article introduces a tracked-leg transformable robot, TALBOT. The mechanical and electrical design, control method, and environment perception based on LiDAR are discussed. The original tracked-leg transformable structure allows the robot to swi...

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

IEEE transactions on neural networks and learning systems
Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range of benchmark vision tasks. However, in many applications, it is prohibitively expensive and time-consuming to obtain large quantities of labeled data...

Force Myography-Based Human Robot Interactions via Deep Domain Adaptation and Generalization.

Sensors (Basel, Switzerland)
Estimating applied force using force myography (FMG) technique can be effective in human-robot interactions (HRI) using data-driven models. A model predicts well when adequate training and evaluation are observed in same session, which is sometimes t...

Locomotion Control With Frequency and Motor Pattern Adaptations.

Frontiers in neural circuits
Existing adaptive locomotion control mechanisms for legged robots are usually aimed at one specific type of adaptation and rarely combined with others. Adaptive mechanisms thus stay at a conceptual level without their coupling effect with other mecha...

Nonlinear time delay estimation based model reference adaptive impedance control for an upper-limb human-robot interaction.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
A nonlinear Time Delay Estimation (TDE) based model reference adaptive impedance controller was developed for Tarbiat Modares University Upper Limbs Rehabilitation Robot (TUERR). The proposed controller uses a stable reference impedance model, which ...

Brain oscillatory correlates of visuomotor adaptive learning.

NeuroImage
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory feedback in response to movement errors. Although adaptation operates within individual movements on a trial-to-trial basis, it can also undergo learn...