Results 71 to 80 of about 6,077 (166)
Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui +9 more
wiley +1 more source
3D As‐Built Environments in Extended Reality Applications: A Systematic Review
This systematic review identifies BIM and game engines as the primary tools for integrating 3D as‐built environments into XR. While multi‐sensor fusion and multimodal interaction enhance immersion, persistent challenges like manual modeling and bandwidth limitations continue to hinder full ecosystem maturation.
Jesús Balado +4 more
wiley +1 more source
ADVIO: An Authentic Dataset for Visual-Inertial Odometry
<p><strong>Data abstract:</strong><br> This Zenodo upload contains the ADVIO data for benchmarking and developing visual-inertial odometry methods.
Juho Kannala +11 more
core +1 more source
Visual-Inertial Odometry of Smartphone under Manhattan World
Based on the hypothesis of the Manhattan world, we propose a tightly-coupled monocular visual-inertial odometry (VIO) system that combines structural features with point features and can run on a mobile phone in real-time.
YuAn Wang +3 more
doaj +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
Indoor mobile robot localization system based on ORB-SLAM3 and multi-sensor fusion
Indoor localization is a fundamental capability for autonomous mobile robots operating in complex indoor environments, where visual degradation, sensor noise, and rotational motion often lead to accumulated drift.
Siyong Fu +5 more
doaj +1 more source
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
Monocular Visual Inertial Odometry using Learning-based Methods
Precise pose information is a fundamental prerequisite for numerous applications in robotics, Artificial Intelligent and mobile computing. Many well-developed algorithms have been established using a single sensor or multiple sensors.
Tian, Yuan
core
Visual inertial odometry and lidar inertial odometry for mobile robot
Municipal infrastructure inspection and maintenance are vital to keep the integrity and safe operation of large-scale infrastructure such as pipelines, bridges and tunnels.
Henawy, John Farid Nasry
core +1 more source
SATVIO : Stereo Attention-based Visual Inertial Odometry
This study introduces a novel stereo attention-based visual inertial odometry model, namely, SATVIO, aiming to enhance odometry performance by leveraging deep learning techniques for sensor fusion. The research evaluates the SATVIO model against existing
Doorshi, Raoof +2 more
core +1 more source

