Results 71 to 80 of about 55,473 (273)
ObVi-SLAM: Long-Term Object-Visual SLAM
Robots responsible for tasks over long time scales must be able to localize consistently and scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM approaches rely on low-level feature descriptors that are not robust to such environmental changes and result in large map sizes that scale poorly over long-term deployments.
Amanda Adkins +2 more
openaire +2 more sources
UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations
AbstractIn this paper, a visual simultaneous localization and mapping (VSLAM/visual SLAM) system called underwater visual SLAM (UVS) system is presented, specifically tailored for camera-only navigation in natural underwater environments. The UVS system is particularly optimized towards precision and robustness, as well as lifelong operations. We build
Marco Leonardi +3 more
openaire +2 more sources
Photothermal Transport for Guiding Nanoparticles Through the Vitreous Humor
Nanosecond laser irradiation of the clinically approved dye indocyanine green (ICG) enables light‐guided nanoparticle transport within the vitreous humor. The combined use of ICG and pulsed laser illumination induces localized convection and thermophoresis, directing particles toward illuminated regions.
Léa Guerassimoff +9 more
wiley +1 more source
Deep Learning-Aided Inertial/Visual/LiDAR Integration for GNSS-Challenging Environments
This research develops an integrated navigation system, which fuses the measurements of the inertial measurement unit (IMU), LiDAR, and monocular camera using an extended Kalman filter (EKF) to provide accurate positioning during prolonged GNSS signal ...
Nader Abdelaziz, Ahmed El-Rabbany
doaj +1 more source
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
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
Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps
Visual robot navigation within large-scale, semi-structured environments deals with various challenges such as computation intensive path planning algorithms or insufficient knowledge about traversable spaces.
Blöchliger, Fabian +4 more
core +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Original Loop-closure Detection Algorithm for Monocular vSLAM
Vision-based simultaneous localization and mapping (vSLAM) is a well-established problem in mobile robotics and monocular vSLAM is one of the most challenging variations of that problem nowadays.
Bokovoy, Andrey, Yakovlev, Konstantin
core +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source

