Analysis of Lateral Displacement Error for AGV Trajectory Tracking

An Excel dataset of 5.5 KB, last updated in May 2026, containing analysis related to Automated Guided Vehicle (AGV) trajectory tracking. The data was generated by author Tan Zhang to validate an online adaptive optimization strategy for Model Predictive Control (MPC) weight parameters. Validation involved co-simulation using Gazebo and Rviz under the ROS framework and experiments on a forklift-type AGV.

Use Cases

• Benchmarking trajectory tracking algorithms based on lateral and heading error metrics mentioned in the description.
• Training or validating adaptive MPC controllers based on the described optimization of weight parameters.
• Analyzing the performance of the Improved Sparrow Search Algorithm (ISSA) for control parameter tuning.
• Comparing simulation results from Gazebo/Rviz with physical AGV experiment data.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and likely quick-to-download analysis.
• Description details a specific validation methodology involving both simulation and physical experiments.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size suggests a very limited scope, likely containing summary results rather than raw sensor data.

Provenance

Source

figshare, author Tan Zhang.

Collection Method

Data likely generated from co-simulation (Gazebo, Rviz) and physical experiments on a forklift-type AGV.

Freshness

Last updated 2026-05-21 17:26:07; freshness should be verified.