Mobile robot
Related papers: 20
About
A mobile robot is an autonomous or semi-autonomous machine capable of moving through its environment to perform tasks, navigating physical spaces rather than remaining fixed in place. Unlike stationary industrial arms, mobile robots locomote via wheels, legs, tracks, or other mechanisms, operating across settings ranging from warehouses and hospitals to outdoor terrain and planetary surfaces. In robotics and AI, mobile robots rely on a tightly integrated stack of capabilities: sensors such as cameras, LiDAR, and IMUs feed data into perception systems that detect objects and map surroundings; simultaneous localization and mapping (SLAM) algorithms build environmental models while tracking the robot's own position; and motion planning and obstacle avoidance techniques translate goals into safe, executable trajectories. Machine learning increasingly enhances each layer, from 3D object detection to reinforcement learning-based control policies. Mobile robots matter because they extend human reach into environments that are dangerous, remote, or repetitive—automating logistics, enabling search and rescue, advancing surgical assistance, and powering autonomous vehicles. Benchmarks and standardized evaluation frameworks continue to drive progress, making mobile robotics one of the most active and impactful frontiers in modern AI and engineering.
Top Researchers
Top Cited Papers
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Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Oussama Khatib
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
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VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tong Qin, Peiliang Li, Shaojie Shen
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Parallel Tracking and Mapping for Small AR Workspaces
Georg Klein, David W. Murray
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Simultaneous localization and mapping: part I
Hugh Durrant‐Whyte, T. Bailey
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A benchmark for the evaluation of RGB-D SLAM systems
Jrgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, Daniel Cremers
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MonoSLAM: Real-Time Single Camera SLAM
Andrew J. Davison, Ian Reid, Nicholas Molton, Olivier Stasse
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Mark W. Spong
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The dynamic window approach to collision avoidance
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Armin Hornung, Kai M. Wurm, Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard
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Visual servo control. I. Basic approaches
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An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
Yongcan Cao, Wenwu Yu, Wei Ren, Guanrong Chen
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The vector field histogram-fast obstacle avoidance for mobile robots
J. Borenstein, Yoram Koren
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Design and Kinematic Modeling of Constant Curvature Continuum Robots: A Review
Robert J. Webster, Bryan A. Jones
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Introduction to autonomous mobile robots
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