Shape-Augmented Neural Network-Based Force Estimation with Interaction Control for a Hyper-Redundant Manipulator
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https://zenodo.org/doi/10.5281/zenodo.20606746
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资源简介：
This repository provides the datasets and MATLAB implementation codes used to generate the experimental results reported in the manuscript. The repository consists of five experiment-specific folders: JointAngleEstimation, JointPoseEstimation, EndEffectorTrackingEstimation, ExternalForceEstimation, and ContactForceEstimation.
Each folder contains the experimental data and MATLAB scripts associated with the corresponding experiment. These files support the reproduction of the data processing, performance evaluation, and figure generation procedures described in the manuscript.
The repository is provided to facilitate transparency, reproducibility, and verification of the proposed vision-based estimation and force estimation framework for a hyper-redundant manipulator.
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Zenodo创建时间：
2026-06-09
