ReviewSensors (Basel, Switzerland)2024
A Review of Sensing Technologies for Indoor Autonomous Mobile Robots.
Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- A Digital Twin-Driven Sensing and Fuzzy Decision Framework for Safety Monitoring of Autonomous Mobile Robot Systems in Intralogistics.Sensors (Basel, Switzerland) · 2026Article
- Lightweight 2.5D SLAM with Dynamic Map Refinement and Height-Aware Encoding for Resource-Constrained Indoor Robots.Sensors (Basel, Switzerland) · 2026Article
- A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.Sensors (Basel, Switzerland) · 2026Article
- Hybrid real-synthetic dataset framework for robotic hazard detection in industrial environments.Scientific reports · 2026Article
- Neuromorphic robust framework for integrated estimation and control in dynamical systems using spiking neural networks.Scientific reports · 2025Article
- Influence of Control System Architecture on Mobile Robot Stability and Performance.Sensors (Basel, Switzerland) · 2025Article
- Enhanced Simultaneous Localization and Mapping Algorithm Based on Deep Learning for Highly Dynamic Environment.Sensors (Basel, Switzerland) · 2025Article
- Multi-layer robotic controller for enhancing the safety of mobile robot navigation in human-centered indoor environments.Frontiers in robotics and AI · 2025Article
- Biomimetic Active Stereo Camera System with Variable FOV.Biomimetics (Basel, Switzerland) · 2024Article
- Accurate Low Complexity Quadrature Angular Diversity Aperture Receiver for Visible Light Positioning.Sensors (Basel, Switzerland) · 2024Article
- A UWB-Ego-Motion Particle Filter for Indoor Pose Estimation of a Ground Robot Using a Moving Horizon Hypothesis.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
As a fundamental issue in robotics academia and industry, indoor autonomous mobile robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information about their working environment and themselves, which can be realized through sensors and the extraction of corresponding information from the measurements of these sensors. The application of sensing technologies can enable mobile robots to perform localization, mapping, target or obstacle recognition, and motion tasks, etc. This paper reviews sensing technologies for autonomous mobile robots in indoor scenes. The benefits and potential problems of using a single sensor in application are analyzed and compared, and the basic principles and popular algorithms used in processing these sensor data are introduced. In addition, some mainstream technologies of multi-sensor fusion are introduced. Finally, this paper discusses the future development trends in the sensing technology for autonomous mobile robots in indoor scenes, as well as the challenges in the practical application environments.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.