ReviewSensors (Basel, Switzerland)2021
Path Planning for Autonomous Mobile Robots: A Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed.
- BGSE-RRT*: A Goal-Guided and Multi-Sector Sampling-Expansion Path Planning Algorithm for Complex Environments.Sensors (Basel, Switzerland) · 2026Article
- Article
- S3PM: Entropy-Regularized Path Planning for Autonomous Mobile Robots in Dense 3D Point Clouds of Unstructured Environments.Sensors (Basel, Switzerland) · 2026Article
- The implications of robot navigation in social space: perceptual effects of socially aware and baseline navigation.Frontiers in robotics and AI · 2026Article
- Evaluating the Impact of Aggregation Operators on Fuzzy Signatures for Robot Path Planning.Sensors (Basel, Switzerland) · 2025Article
- A Multi-Policy Rapidly-Exploring Random Tree Based Mobile Robot Controller for Safe Path Planning in Human-Shared Environments.Sensors (Basel, Switzerland) · 2025Article
- Geometrical Optimal Navigation and Path Planning-Bridging Theory, Algorithms, and Applications.Sensors (Basel, Switzerland) · 2025Review
- Collision-Free Robot Path Planning by Integrating DRL with Noise Layers and MPC.Sensors (Basel, Switzerland) · 2025Article
- Accelerating RRT* convergence with novel nonuniform and uniform sampling approach.Scientific reports · 2025Article
- Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks.Sensors (Basel, Switzerland) · 2025Article
- Industrial Robotics and the Future of Work.American journal of industrial medicine · 2025Review
- Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform.Sensors (Basel, Switzerland) · 2025Article
- Autonomous Mobile Inspection Robots in Deep Underground Mining-The Current State of the Art and Future Perspectives.Sensors (Basel, Switzerland) · 2025Review
- Predicting driving comfort in autonomous vehicles using road information and multi-head attention models.Nature communications · 2025Article
- Path Planning Trends for Autonomous Mobile Robot Navigation: A Review.Sensors (Basel, Switzerland) · 2025Review
- Time-Interval-Based Collision Detection for 4WIS Mobile Robots in Human-Shared Indoor Environments.Sensors (Basel, Switzerland) · 2025Article
- Multi-Objective Power Supply Restoration in Distribution Networks Based on Graph Calculation and Information Collected by Multi-Source Sensors.Sensors (Basel, Switzerland) · 2025Article
- A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning.Sensors (Basel, Switzerland) · 2025Article
- Determining optimum assembly zone for modular reconfigurable robots using multi-objective genetic algorithm.Scientific reports · 2025Article
- Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm.PeerJ. Computer science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Providing mobile robots with autonomous capabilities is advantageous. It allows one to dispense with the intervention of human operators, which may prove beneficial in economic and safety terms. Autonomy requires, in most cases, the use of path planners that enable the robot to deliberate about how to move from its location at one moment to another. Looking for the most appropriate path planning algorithm according to the requirements imposed by users can be challenging, given the overwhelming number of approaches that exist in the literature. Moreover, the past review works analyzed here cover only some of these approaches, missing important ones. For this reason, our paper aims to serve as a starting point for a clear and comprehensive overview of the research to date. It introduces a global classification of path planning algorithms, with a focus on those approaches used along with autonomous ground vehicles, but is also extendable to other robots moving on surfaces, such as autonomous boats. Moreover, the models used to represent the environment, together with the robot mobility and dynamics, are also addressed from the perspective of path planning. Each of the path planning categories presented in the classification is disclosed and analyzed, and a discussion about their applicability is added at the end.
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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.