Comparison of Path Planning Algorithms for Robotic Arm Flask Grasping

Experimental simulation results comparing a proposed Vision-guided Multi-constraint RRT* (VM-RRT*) algorithm against the traditional RRT* algorithm for robotic arm path planning. The dataset, authored by Zhaopeng Yuan and last updated in April 2026, likely contains metrics such as planning time and end-effector motion parameters. The VM-RRT* algorithm achieved an average planning time of 3.27 seconds, approximately 20% faster than the traditional RRT*'s 4.07 seconds.

Use Cases

• Benchmarking path planning algorithm performance based on reported planning time metrics.
• Analyzing robotic arm trajectory smoothness based on described end-effector speed and acceleration constraints.
• Evaluating the impact of visual guidance sampling on path convergence efficiency in a laboratory automation context.

Strengths

• Includes a specific performance comparison, with the VM-RRT* algorithm showing a 20% improvement in average planning time.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and modification.
• The description details a concrete application scenario: robotic arm grasping of volumetric flasks in a chemical laboratory.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope and likely a summary of results rather than raw experimental data.

Provenance

Source

figshare

Collection Method

Experimental simulation results from a research paper proposing a new algorithm.

Time Range

Simulation date unknown; dataset metadata updated April 2026.

Freshness

Last updated 2026-04-20 17:57:46

Geography

Spatial coverage is not specified.