ReviewSensors (Basel, Switzerland)2024
Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot.
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 14 papers.
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Who cites it
14 citing papers in PubMed.
- Navigation and Sensor Fusion for Autonomous Field Robots in Precision Agriculture: Narrative Review.Sensors (Basel, Switzerland) · 2026Review
- Teardrop Risk Field-Based Spatiotemporal Path Planning Method for Mobile Robots in Dynamic Environments.Sensors (Basel, Switzerland) · 2026Article
- Development of smart patient care robot with enhanced autonomous navigation through path optimization in hospital wards.Scientific reports · 2026Article
- The implications of robot navigation in social space: perceptual effects of socially aware and baseline navigation.Frontiers in robotics and AI · 2026Article
- A hybrid RRT-DWA path planning framework for UAVs in dynamic environments.Scientific reports · 2025Article
- An integrative computational approach for obstacle avoidance during action selection.bioRxiv : the preprint server for biology · 2025Article
- Adaptive Hybrid PSO-APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots.Sensors (Basel, Switzerland) · 2025Article
- Revised Control Barrier Function with Sensing of Threats from Relative Velocity Between Humans and Mobile Robots.Sensors (Basel, Switzerland) · 2025Article
- Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance.Sensors (Basel, Switzerland) · 2025Article
- Predictive control for the navigation of spherical robots in obstacle-rich environments.Scientific reports · 2025Article
- Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms.Scientific reports · 2025Article
- End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture.Frontiers in neurorobotics · 2025Article
- Kinematic Constrained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of Wheeled Mobile Robots.Sensors (Basel, Switzerland) · 2024Article
- Dynamic obstacle avoidance path planning for collaborative robot based on improved APF-Bi-RRT algorithm.Science progressArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Path planning creates the shortest path from the source to the destination based on sensory information obtained from the environment. Within path planning, obstacle avoidance is a crucial task in robotics, as the autonomous operation of robots needs to reach their destination without collisions. Obstacle avoidance algorithms play a key role in robotics and autonomous vehicles. These algorithms enable robots to navigate their environment efficiently, minimizing the risk of collisions and safely avoiding obstacles. This article provides an overview of key obstacle avoidance algorithms, including classic techniques such as the Bug algorithm and Dijkstra's algorithm, and newer developments like genetic algorithms and approaches based on neural networks. It analyzes in detail the advantages, limitations, and application areas of these algorithms and highlights current research directions in obstacle avoidance robotics. This article aims to provide comprehensive insight into the current state and prospects of obstacle avoidance algorithms in robotics applications. It also mentions the use of predictive methods and deep learning strategies.
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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.