Mobile robot navigation
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Mobile robot navigation refers to the set of methods and systems that enable a robot to move autonomously from one location to another within an environment, safely avoiding obstacles and reaching intended goals. It encompasses several interconnected capabilities, including localization (determining the robot's position), mapping (building representations of the environment), path planning (computing collision-free routes), and motion control (executing movement). Robots achieve these functions using diverse sensing modalities such as sonar, cameras, GPS, and laser range finders, often combined with probabilistic techniques like the extended Kalman filter or simultaneous localization and mapping (SLAM). Algorithmic approaches range from classical grid-based planners and geometric beacon tracking to behavior-based architectures and, more recently, deep reinforcement learning. Navigation matters because it is the foundational capability underpinning nearly every practical robot deployment — from warehouse automation and delivery robots to search-and-rescue and assistive platforms — directly determining how reliably and safely a robot can operate in real, unstructured environments over extended periods.
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Sonar-based real-world mapping and navigation
Alberto Elfes
Citations: 1395 • 1987
Vision for mobile robot navigation: a survey
Guilherme N. DeSouza, A.C. Kak
Citations: 1360 • 2002
Mobile robot localization by tracking geometric beacons
John J. Leonard, Hugh Durrant‐Whyte
Citations: 1227 • 1991
Motor Schema — Based Mobile Robot Navigation
Ronald C. Arkin
Citations: 1004 • 1989
Path Planning with Modified a Star Algorithm for a Mobile Robot
František Duchoň, Andrej Babinec, Martin Kajan, Peter Beňo, Martin Florek, Tomáš Fico, Ladislav Jurišica
Citations: 855 • 2014
Directed Sonar Sensing for Mobile Robot Navigation
John J. Leonard, Hugh Durrant‐Whyte
Citations: 803 • 1992
Aided Navigation: GPS with High Rate Sensors
Jay A. Farrell
Citations: 789 • 2008
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
Stephen Se, David Lowe, Jim Little
Citations: 779 • 2002
Vision and navigation for the Carnegie-Mellon Navlab
C. Thorpe, Martial Hebert, Takeo Kanade, Steven A. Shafer
Citations: 771 • 1988
Human-aware robot navigation: A survey
Thibault Kruse, Amit Kumar Pandey, Rachid Alami, Alexandra Kirsch
Citations: 715 • 2013
Visual Navigation for Mobile Robots: A Survey
Francisco Bonin‐Font, Alberto Ortiz, Gabriel Oliver
Citations: 689 • 2008
Path planning techniques for mobile robots: Review and prospect
Lixing Liu, Xu Wang, Hongjie Liu, Jianping Li, Pengfei Wang
Citations: 611 • 2023
Mobile robot positioning: Sensors and techniques
J. Borenstein, H. R. Everett, Liang Feng, D.K. Wehe
Citations: 599 • 1997
Integration of representation into goal-driven behavior-based robots
Maja J. Matarić
Citations: 584 • 1992
Position referencing and consistent world modeling for mobile robots
Raja Chatila, Jean‐Paul Laumond
Citations: 554 • 2005
A mobile robot employing insect strategies for navigation
Dimitrios Lambrinos, Ralf Möller, Thomas Labhart, Rolf Pfeifer, Rüdiger Wehner
Citations: 520 • 2000
The Office Marathon: Robust navigation in an indoor office environment
Eitan Marder-Eppstein, Eric Berger, Tully Foote, Brian Gerkey, Kurt Konolige
Citations: 516 • 2010
Mobile robot localization using landmarks
Margrit Betke, Leonid Gurvits
Citations: 509 • 1997
Navigation for an intelligent mobile robot
James L. Crowley
Citations: 489 • 1985
Probabilistic robot navigation in partially observable environments
Reid Simmons, Sven Koenig
Citations: 488 • 1995