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Tracing curves in the plane: geometric-invariant learning from human demonstrations
Tracing curves in the plane: geometric-invariant learning from human demonstrations
Sep 21, 2024
Turlapati, Sri Harsha, 2024, "Tracing curves in the plane: geometric-invariant learning from human demonstrations", https://doi.org/10.21979/N9/QLAMWF, DR-NTU (Data), V2
The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using crit...
Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)
Sep 16, 2024
Turlapati, Sri Harsha; Accoto, Dino; Domenico, Campolo, 2024, "Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)", https://doi.org/10.21979/N9/S2JEGS, DR-NTU (Data), V1
Object localisation, shape estimation, feature detection are important sub-tasks in overarching applications like industrial tooling, assembly, manufacturing and re-manufacturing which might require robotic automation through manipulation. 3D vision techniques provide robust solu...
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