Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms
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 wit...
Saved in:
| Main Authors: | Kenneth Christopher Ugwoke, Nwojo Agwu Nnanna, Saleh El-Yakub Abdullahi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-96614-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm
by: Kenneth Christopher Ugwoke, et al.
Published: (2025-08-01) -
A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics
by: Micael Balza, et al.
Published: (2025-01-01) -
Position Selection and Collision-Free Path Planning for Fruit Picking Robots
by: Yonghee Cho, et al.
Published: (2025-04-01) -
Development and Evaluation of a Multi-Robot Path Planning Graph Algorithm
by: Fatma A. S. Alwafi, et al.
Published: (2025-05-01) -
Heuristic Approach for Real-Time Multi-Agent Trajectory Planning Under Uncertainty
by: Haseeb Tahir, et al.
Published: (2020-01-01)