Abstract: Accurate medical image segmentation is a critical step for detecting and quantifying diseases, identifying pathological regions, and guiding treatment decisions. However, ensuring the ...
Abstract: Total Body Photography (TBP) is becoming a useful screening tool for patients at high risk for skin cancer. While much progress has been made, existing TBP systems can be further improved ...
Abstract: Soft actuators driven by shape memory alloy (SMA) wires are capable of undergoing a large deformation and offering a fast response, which allows them to assemble soft robots for diverse ...
Abstract: Network localization and formation control are two core problems for shape determination of multiagent systems (MASs). How to achieve shape determination is an important yet challenging ...
Abstract: Tensegrity structures are becoming widely used in robotics, such as continuously bending soft manipulators and mobile robots to explore unknown and uneven environments dynamically.
Abstract: As a key infrastructure for China’s “West-to-East Power Transmission” project, transmission lines (TLs) face the threat of ice accretion under complex microclimatic conditions. This study ...
Abstract: Continuum robots show great potential in the medical field owing to their theoretically infinite degrees of freedom, but they still face challenges in shape sensing. This study focuses on ...
Abstract: To achieve high spatial resolution of X-ray imaging, the focal spot size of high-energy nondestructive testing electron accelerators has been progressively reduced from 2 to below 1 mm, and, ...
Abstract: Currently, underwater vehicles are playing an increasingly important role in ocean observation, and rapid vehicle design is required for the increasingly diversified missions. Hydrodynamic ...
Abstract: This study proposes a novel lightweight robotic gripper with a high-payload capacity using shape-memory-alloy (SMA) actuators and a self-locking mechanism. The multi-joint fingers of the ...
Abstract: Fully-supervised category-level pose estimation aims to determine the 6-DoF poses of unseen instances from known categories, requiring expensive manual labeling costs. Recently, various self ...
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