Biological organisms exhibit remarkable capabilities to dynamically adjust their physiological states through autonomous neural perception and adaptive locomotion, offering profound inspiration for the development of intelligent bionic systems. Parti...
Eels have attracted significant research interest because of their long-distance migration and high-endurance cruising behavior. An underwater eel-like robot design inspired by these creatures has the potential for high efficiency, strong maneuverabi...
The sensory nervous system in animals enables the perception of external stimuli. Developing an artificial sensory nervous system has been widely conducted to realize neuro-inspired robots capable of effectively responding to external stimuli. Howeve...
Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-being of patients and develop customized therapeutic plans. Despite its importance, achieving precise forecasts remains a formidable challenge. To tackle...
The widespread application of electronic skin (e-skin) in human-machine interaction necessitates intelligent and information-rich systems. However, the rapid and efficient deployment of e-skin for high-precision multisensor fusion remains a critical ...
With the in-depth integration of research across multiple disciplines, such as biomimetics, robotics, and sensing technology, significant advancements have been made in swarm robotics technology, which has been applied in areas including drone swarms...
This article attempts to show that current trends in bio-inspired robotics research are incompatible with the transformations needed to address the current ecological crisis. A large part of the scientific community takes refuge behind short-term cha...
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...
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...
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-...
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