Results 71 to 80 of about 2,170,338 (154)

Indoor mobile robot localization system based on ORB-SLAM3 and multi-sensor fusion

Alexandria Engineering Journal
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, Qinghua Zhao, Qiuxiang Tao, Hesheng Liu, Qing Wang, Danjuan Liu   +5 more
doaj   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Visual-Inertial Odometry of Smartphone under Manhattan World

Remote Sensing, 2020
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, Liang Chen, Peng Wei, XiangChen Lu   +3 more
doaj   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, Volume 43, Issue 3, Page 1332-1362, May 2026.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

A loop closure approach for humanoids navigation, An approach to the loop closure problem, robust to severe view-point changes [PDF]

, 2013
A loop closure approach for humanoids navigation with visual-inertial data.\nThe approach is robust to severe view-point changes thanks to an estimation of view-point invariant frontal views of ...
Marostica, Michele
core  

Keyframe-based visual–inertial odometry using nonlinear optimization [PDF]

, 2014
Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities offer complementary characteristics that make them the ideal choice for accurate visual–inertial odometry or simultaneous localization and ...
Bosse, M, Stefan Leutenegger, Roland Siegwart, Leutenegger, S, Lynen, S, Simon Lynen, Furgale, P, Michael Bosse, Paul Furgale, Siegwart, R   +9 more
core   +1 more source

CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations

Journal of Robotics, 2020
The estimation error accumulation in the conventional visual inertial odometry (VIO) generally forbids accurate long-term operations. Some advanced techniques such as global pose graph optimization and loop closure demand relatively high computation and ...
Trung Nguyen, George K. I. Mann, Andrew Vardy, Raymond G. Gosine   +3 more
doaj   +1 more source

High altitude stereo visual odometry [PDF]

, 2013
Stereo visual odometry has received little investigation in high altitude applications due to the generally poor performance of rigid stereo rigs at extremely small baseline-to-depth ratios. Without additional sensing, metric scale is considered lost and
Warren, Michael, Upcroft, Ben, Michael Warren, Ben Upcroft   +3 more
core   +1 more source

A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

Sensors, 2016
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping.
Yu Song, Stephen Nuske, Sebastian Scherer   +2 more
doaj   +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, Saleem, Hajira, Malekian, Reza   +2 more
core   +1 more source