Kirigami Haptic Swatches: Design Methods for Cut-and-Fold Haptic Feedback Mechanisms

Abstract: Kirigami Haptic Swatches demonstrate how kirigami and origami based structures enable sophisticated haptic feedback through simple cut-and-fold fabrication techniques. We leverage four types of geometric patterns: rotational erection system (RES), split-fold waterbomb (SFWB), the overlaid structure of SFWB and RES (SFWB+RES), and cylindrical origami, to render different sets of haptic feedback (i.e. linear, bistable, bouncing snap-through, and rotational force behaviors, respectively). In each structure, not only the form factor but also the force feedback properties can be tuned through geometric parameters. We experimentally analyzed and modeled the structures, and implemented software to automatically generate 2D patterns for desired haptic properties. We also demonstrate five example applications including an assistive custom keyboard, rotational switch, multi-sensory toy, task checklist, and phone accessories. We believe the Kirigami Haptic Swatches helps tinkerers, designers, and even researchers to create interactions that enrich our haptic experience.

22/11/2021

3d shape modeling, generative models, shape generation, representation learning, sequence-to-sequence network, implicit function

1:01

14/06/2020

fabrication, elastic deformation, elastic gridshells, active bending, architectural geometry, geometric modeling, physical simulation

14:39

15/11/2020

3d scene recomposition, 3d scene reconstruction, deep reinforcement learning, learning-based icp (licp), 3d geometry learning, 3d cad models, 3d shapes, room layout estimation, 3d geometry deep network, iterative closest point

1:01

18/07/2021

3d dynamic scene reconstruction, shape completion, simultaneous localization and mapping in dynamic environments, physical scene reconstruction

1:01

06/12/2020

differentiable rendering, 3d reconstruction, implicit representations, multi-view reconstruction, depth completion, 3d deep learning

1:01

14/09/2020

grammar-guided genetic programming (gggp), supervised learning, feature extraction, interpretability, electrical power system

14:13

02/02/2021

6d pose estimation, keypoints detection, relative pose, object detection, deep learning, computer vision, multi-task learning, metric learning, multi-view learning, epipolar geometry

1:01

06/12/2021

Andras Gabor Kupcsik, Markus Spies, Alexander Klein and
Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger

Keywords Paper

18:14

14/06/2020

FroDO: From Detections to 3D Objects

Martin Rünz, Kejie Li, Meng Tang and
Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe

Keywords Paper

reconstruction, shape embedding, 3d vision, object detection, shape prior, object representation, monocular, sdf, pointcloud, inference

1:01

14/06/2020