ArticleScientific reports2025
Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges.MethodsX · 2026Review
- Decomposition-based interval multi-objective evolutionary algorithm for patrol robot path planning in chemical plants.Scientific reports · 2026Article
- Dynamic quality aware path planning for 6 DoF robotic arms using BiRRT and metaheuristic optimization based on B spline paths.Scientific reports · 2026Article
- AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.iScience · 2026Review
- A review of full-stack autonomous obstacle avoidance for assistive robots for the disabled.Frontiers in robotics and AI · 2026Review
- Multiple trajectory optimization and control of robotic agents using hybrid fuzzy embedded artificial intelligence technique for multi target problems.Scientific reports · 2025Article
- Accelerating RRT* convergence with novel nonuniform and uniform sampling approach.Scientific reports · 2025Article
- AgriPath: a robust multi-objective path planning framework for agricultural robots in dynamic field environments.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Path planning is the process by which an autonomous robot obtains information about its environment and chooses the best route from the start point to the target destination while avoiding obstacles. It is vital to the success of robot operation as it provides autonomous maneuverability within the environment, ensuring a collision-free and optimum path that guarantees efficient movement. This paper introduces and categorizes several notable path-planning algorithms used in robotics operations. We delve into their basic principles, key features, challenges, and real-world applications. Additionally, we provided a simulated comparison result of the notable path-planning algorithms. Finally, we analyze the outcomes, give a concise conclusion, and forecast the future trends in path planning techniques.
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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.