AGV Trajectory Tracking Error Analysis from MPC Optimization Study

Tan Zhang published a dataset on figshare in 2026 related to the analysis of lateral displacement error for Automated Guided Vehicles (AGVs). The data, stored in an XLS file of 5.5 KB, supports research on an online adaptive optimization strategy for Model Predictive Control (MPC) weight parameters. The dataset was last updated on 2026-05-21.

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 strategy
• Analyzing the performance of the Improved Sparrow Search Algorithm (ISSA) for control parameter tuning

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is small (5.5 KB), facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Tan Zhang via figshare

Collection Method

Likely generated from co-simulation using Gazebo and Rviz under the ROS framework, and experiments on a forklift-type AGV as described.

Freshness

Last updated 2026-05-21 17:26:09; freshness should be verified.