AIMC Topic: Locomotion
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Deep learning-assisted detection of psychoactive water pollutants using behavioral profiling of zebrafish embryos.
Journal of hazardous materials
Oct 29, 2024
Water pollution poses a significant risk to the environment and human health, necessitating the development of innovative detection methods. In this study, a series of representative psychoactive compounds were selected as model pollutants, and a new...
Wirelessly steerable bioelectronic neuromuscular robots adapting neurocardiac junctions.
Science robotics
Sep 25, 2024
Biological motions of native muscle tissues rely on the nervous system to interface movement with the surrounding environment. The neural innervation of muscles, crucial for regulating movement, is the fundamental infrastructure for swiftly respondin...
Magnetically Actuated Soft Microrobot with Environmental Adaptative Multimodal Locomotion Towards Targeted Delivery.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Sep 24, 2024
The development of environmentally adaptive solutions for magnetically actuated microrobots to enable targeted delivery in complex and confined fluid environments presents a significant challenge. Inspired by the natural locomotion of crucian carp, a...
The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (): A Validation Study.
Sensors (Basel, Switzerland)
Sep 13, 2024
Assessing the behaviour and physical attributes of domesticated dogs is critical for predicting the suitability of animals for companionship or specific roles such as hunting, military or service. Common methods of behavioural assessment can be time ...
Comparison of feed-forward control strategies for simplified vertical hopping model with intrinsic muscle properties.
Bioinspiration & biomimetics
Sep 12, 2024
To analyse walking, running or hopping motions, models with high degrees of freedom are usually used. However simple reductionist models are advantageous within certain limits. In a simple manner, the hopping motion is generally modelled by a spring-...
Electrohydraulic musculoskeletal robotic leg for agile, adaptive, yet energy-efficient locomotion.
Nature communications
Sep 9, 2024
Robotic locomotion in unstructured terrain demands an agile, adaptive, and energy-efficient architecture. To traverse such terrains, legged robots use rigid electromagnetic motors and sensorized drivetrains to adapt to the environment actively. These...
A deep learning-based approach for unbiased kinematic analysis in CNS injury.
Experimental neurology
Sep 5, 2024
Traumatic spinal cord injury (SCI) is a devastating condition that impacts over 300,000 individuals in the US alone. Depending on the severity of the injury, SCI can lead to varying degrees of sensorimotor deficits and paralysis. Despite advances in ...
Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing.
IEEE transactions on neural networks and learning systems
Sep 3, 2024
To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling limit of silicon transistors, an emerging but promising solution is neuromorphic computing, a new computing paradigm inspired by how biological neural networks h...
Bioinspired deformation computational design method for muscle-driven soft robots using MPM.
Bioinspiration & biomimetics
Aug 29, 2024
In order to adapt to complex and changing environments, animals have a wide variety of locomotor forms, which has inspired the investigation of their deformation and driving mechanisms. In this paper, we propose a computational design method for musc...
A novel open-access artificial-intelligence-driven platform for CNS drug discovery utilizing adult zebrafish.
Journal of neuroscience methods
Aug 24, 2024
BACKGROUND: Although zebrafish are increasingly utilized in biomedicine for CNS disease modelling and drug discovery, this generates big data necessitating objective, precise and reproducible analyses. The artificial intelligence (AI) applications ha...
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