Mobile Robot Path Planning Algorithm Performance Comparison

A paper compares sampling-based algorithms for mobile robot navigation, including A*, Bidirectional RRT, Artificial Potential Field, PRM, and RRT. Performance metrics like shortest path and processing time were determined in a MATLAB environment. The author is Sivaranjani Arthanari.

Use Cases

• Benchmarking algorithm execution time based on the processing time metric
• Evaluating obstacle avoidance performance based on the path planning task
• Comparing path optimality based on the shortest path metric

Strengths

• Compares multiple established algorithms (A*, Bidirectional RRT, Artificial Potential Field, PRM, RRT)
• Provides specific performance metrics: shortest path length and processing time

Limitations

• Row count and data volume are unknown
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

paperswithcode

Collection Method

Simulation results from a MATLAB environment, as described in the paper.