AIMC Topic: Models, Biological
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Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning.
Nature communications
Jul 1, 2025
Microorganisms have evolved diverse strategies to propel themselves in viscous fluids, navigate complex environments, and exhibit taxis in response to stimuli. This has inspired the development of miniature robots, where artificial intelligence (AI) ...
Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation.
PloS one
Jun 12, 2025
This study introduces an advanced computational model for simulating surface electromyography (sEMG) signals during muscle contractions. The model integrates five elements that simulate the chain of processes from motor intention to voltage variation...
Self-organising bio-inspired reflex circuits for robust motor coordination in artificial musculoskeletal systems.
Bioinspiration & biomimetics
Jun 6, 2025
Artificial musculoskeletal systems mimic mammalian biomechanics using antagonistic muscles and rigid skeletons. They offer benefits such as adjustable stiffness, back-drivability, and muscle failure tolerance but are difficult to model and control du...
Dynamics and design of passive tails for enhanced stability of motion.
Bioinspiration & biomimetics
Jun 6, 2025
In this work, we study the nonlinear dynamics of tail motion using numerical simulations and experiments. Our simulations are based on a discrete model comprising rigid cylinders (representing vertebrae) coupled by longitudinal, shear, and bending sp...
Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.
Bioinspiration & biomimetics
Jun 5, 2025
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-...
Underwater bionic undulating fins incorporating thickness effects: hydrodynamic performance and optimal thickness variation rate analysis.
Bioinspiration & biomimetics
Jun 5, 2025
In response to the urgent issues faced by current bionic undulating fin robot propulsion mechanisms, such as low working efficiency, insufficient swimming speed, ignoring thickness parameters, and the need for further improvement in biomimetic degree...
Identifying dynamic regulation with machine learning using adversarial surrogates.
PloS one
Jun 5, 2025
Biological systems maintain stability of their function in spite of external and internal perturbations. An important challenge in studying biological regulation is to identify the control objectives based on empirical data. Very often these objectiv...
Investigating the effect of morphology on the terrestrial gaits of amphibious fish using a reconfigurable robot.
Bioinspiration & biomimetics
Jun 2, 2025
The relationship between morphology and locomotion performance in amphibious fish remains poorly understood, particularly in axial-appendage-based and appendage-based movements. To address this, we introduce Polymander, a reconfigurable robot capable...
Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
May 28, 2025
BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is increasingly used off-label in pediatric immune-mediated renal diseases. The aims of this study were to develop and validate pharmacokinetic models for m...
Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.
Scientific reports
May 22, 2025
Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in improving therapeutic outcomes, and many machine lea...
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