Results 71 to 80 of about 38,736 (309)
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A Fire Reconnaissance Robot Based on SLAM Position, Thermal Imaging Technologies, and AR Display
Due to hot toxic smoke and unknown risks under fire conditions, detection and relevant reconnaissance are significant in avoiding casualties. A fire reconnaissance robot was therefore developed to assist in the problem by offering important fire ...
Sen Li +5 more
doaj +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Vehicle Pose Estimation Method Based on Maximum Correntropy Square Root Unscented Kalman Filter
Simultaneous Localization and Mapping (SLAM) is an effective method for estimating and correcting the pose of the mobile robot. However, a large amount of external noise and observed outliers in complex unknown environments often lead to a decrease in ...
Shuyu Liu, Ying Guo
doaj +1 more source
Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]
An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core
Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source
Метод одновременной навигации и составления карты по видео изображению (SLAM) для автономных роботов на ТРИК [PDF]
Задача одновременной локализации и построения карты (SLAM) для однокамерного зрения может считаться решенной в случае, когда наблюдается неподвижная сцена.
Солдатов Дмитрий Владимирович +1 more
core
Efficient Autonomous Exploration with Dueling DDQN Enhancing Active SLAM through Reinforcement Learning [PDF]
Active Simultaneous Localization and Mapping (SLAM) is a critical problem in autonomous robotics, enabling robots to navigate to new regions while building an accurate model of their surroundings.
Seow, Chee Kiat +4 more
core +1 more source
Visual inertial SLAM dense mapping for indoor autonomous navigation [PDF]
openIndoor navigation is a really important topic for many robotics application. The vast majority of tasks that a robot can complete in an indoor environment depends on the fact that the robot is able to orient itself inside it.
PASINI, LORENZO
core
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang +3 more
wiley +1 more source

