Results 31 to 40 of about 1,013,773 (162)
ABSTRACT Additive manufacturing, commonly referred to as three‐dimensional (3D) printing, provides the geometric freedom and multi‐material integration needed to build soft medical robots for minimally invasive interventions, prosthetics, and rehabilitation.
Yao Wang +5 more
wiley +1 more source
ABSTRACT Ti3C2Tx MXene, with its exceptional electrical conductivity, mechanical flexibility, and processability, compatible with wearable and integrated systems, plays a crucial role in advancing flexible photodetectors for intelligent perception systems and bioinspired artificial vision.
Chu‐Qiao Hu +10 more
wiley +1 more source
人工智能就是让机器能够像人一样学习、思考并理解,即用计算机模拟人的智能,它涵盖认知与推理(包含各种物理常识和社会常识)、计算机视觉、自然语言理解与交互(包含听觉)、机器学习等广泛的学科领域。人机协同的混合增强智能是新一代人工智能的典型特征,视听觉信息的认知计算是新一代人工智能的重要研究内容。理解人类视听觉认知并建立可计算视听觉认知模型对人工智能的核心算法具有重大的启示意义。
郑南宁
doaj
ABSTRACT The development of neuromorphic electronics with visual perception and adaptive capability is highly desirable for advancing artificial vision systems. Herein, we have demonstrated a dual‐plasticity adaptive phototransistor based on IGZO nanofibers that exhibits the perception and dynamic adaptation behavior of rod and cone cells to varying ...
Shanshan Jiang +5 more
wiley +1 more source
Laser‐Driven Halide Exchange and High‐Resolution Multicolor Patterning of Perovskite Films
ABSTRACT Translating the excellent properties of metal halide perovskites (MHPs) into practical flexible optoelectronic devices requires high‐resolution multicolor patterning techniques that are compatible with post‐fabrication processing. However, such a capability has remained elusive.
Shu Yang +6 more
wiley +1 more source
本文根据“国家科委智能机器人赴法考察团汇报”改写的。着重介绍了第三届高级机器人国际会议及法国机器人研究、开发的现状.当前机器人的发展,从世界范围来看正面临一个新的时期,原有工业机器人主要用户对象是汽车工业、市场日趋饱和,定单下降,而能满足实际需要具有更高性能的机器人还有待于开发.因此各国建立起的机器人产业正面临一场严峻考验,是处于又一次高潮来到的前夜(Nightmare),这是人们原先对它的预测与期望离实际太远,激起了很多人疑虑。我认为回答应是正面的,技术的发展总是波浪式的、不平衡的 ...
蒋新松
core +1 more source
机器人对食品的抓取、拣选是工业自动化中的一个常见问题,但是食品通常形状不规则、特征多变,导致快速、稳定的视觉分析与定位较为困难。提出了一种结合深度学习与生物特征识别的目标点定位方法,首先使用深度学习模型对目标点进行粗定位,之后在粗定位点的邻域中,利用生物特征进行微调,得到精准的目标点坐标。所设计的方法在常见食品——虾的数据上进行了模型训练与性能验证。首先将虾的图像进行预处理后输入深度学习模型得到粗定位点,之后对虾的位姿进行归一化并提取轮廓线,基于对搜索域内的轮廓拟合与特征点检测以精确定位目标点 ...
陈妮亚, 阮佳阳, 黄金苗, 杨伟
doaj
Smart Biomaterials and Dressings for the Treatment of Chronic Inflammatory Skin Diseases
ABSTRACT Chronic inflammatory skin diseases, encompassing immune‐inflammatory conditions and infection‐associated dermatoses, pose significant clinical challenges due to high prevalence, recurrence, and therapeutic resistance, affect over 30% of the global population.
Zehao Lan +5 more
wiley +1 more source
机器人关节是机器人的基础部件 ,其性能的好坏直接影响机器人的性能。本文根据机器人关节的功能特点 ,驱动方式 ,应用场合和主要结构等进行了分类 ;介绍了典型的机器人关节结构形式 ,对工业机器人和拟人机器人的关节结构进行了较为详细的介绍 ;随着数字伺服技术等电子技术的发展 ,机器人关节也在不断发展。机器人关节呈现出大力矩、高精度、反应灵敏、小型化 ,机电一体化 ,标准化和模块化等趋势 ,以适应机器人技术发展的需要。
王光建, 梁锡昌, 蒋建东
doaj
ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
wiley +1 more source

