Comparative Analysis of Path Finding Algorithms Under Varying Movement Models and Heuristic Functions in Static Environments
Undergraduate research on the empirical performance of pathfinding algorithms in static grid environments, evaluating the trade-offs between path optimality, movement models, heuristic functions, and search complexity under varying obstacle densities.
Authors
- Ebube Jude Akukwe (ORCID: https://orcid.org/0009-0002-0734-3068)
Institutions
- Imo State University (NG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-16
- DOI
- https://doi.org/10.5281/zenodo.22790828
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00