TURLAPATI Sri Harsha

Appointment: Research Fellow

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1 to 10 of 99 Results

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...
define_curves_for_generalization.mlx Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations Unknown - 278.7 KB - MD5: 89205f78c1892e8333b2d13767047111 v2
README.md Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations Markdown Text - 1.3 KB - MD5: f1be0704e160a60a6a6e7dd5653dc968 v2
train_ELM.mlx Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations Unknown - 2.1 MB - MD5: 36465b3be0d78262b595548cf0c6b016 v2
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...
segmented_object_v2_WOstruct.mat Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration) Unknown - 3.2 MB - MD5: eb8c50bda59a7bd67d81d9c93e2edcdf
segmented_object_v3_corrected.avi Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration) AVI Video - 30.6 MB - MD5: 3dd08341775dd2c2868e4879e632d0e0
segmented_object_v3_corrected.mat Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration) Unknown - 4.2 MB - MD5: 047dbe472e00c42a241e26813db4b1b0
all_S.table.mat Sep 12, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations MATLAB Data - 3.2 KB - MD5: c63010f69bc39bd4dcf77e958000f26b
analogToUnitCoded.m Sep 12, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations MATLAB Source Code - 975 B - MD5: 5aedd0daf0476d70264cad04ccca3e51

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...

define_curves_for_generalization.mlx

Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations

Unknown - 278.7 KB -

README.md

Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations

Markdown Text - 1.3 KB -

train_ELM.mlx

Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations

Unknown - 2.1 MB -

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...

segmented_object_v2_WOstruct.mat

Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)

Unknown - 3.2 MB -

segmented_object_v3_corrected.avi

Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)

AVI Video - 30.6 MB -

segmented_object_v3_corrected.mat

Sep 16, 2024 - Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)

Unknown - 4.2 MB -

all_S.table.mat

Sep 12, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations

MATLAB Data - 3.2 KB -