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Haeseong Lee

3 accepted papers

2025

CC-STAR: An Estimation for Contact State Transition Using Reconstruction-Based Anomaly Detection for Peg-in-Hole Assembly

ICRA 2025

For successful peg-in-hole assembly, predefined sub-tasks should be executed sequentially according to the current contact state. Therefore, recognizing contact state transitions is essential in order to determine whether to continue the current task or proceed to the next. In that context, learning

Cited by 0SourceScholar
2022

Contact State Estimation for Peg-in-Hole Assembly Using Gaussian Mixture Model

RA-L 2022

Recently, the robotic assembly has been expanded into an unstructured environment. This environment includes uncertainties that may cause unexpected situations such as a failure of the assembly. Such problems can be prevented or monitored by a robust contact state (CS) estimation method. In that sen

Cited by 32SourceScholar