HapTable: An Interactive Tabletop Providing Online Haptic Feedback for
Touch Gestures
- URL: http://arxiv.org/abs/2103.16510v1
- Date: Tue, 30 Mar 2021 17:12:10 GMT
- Title: HapTable: An Interactive Tabletop Providing Online Haptic Feedback for
Touch Gestures
- Abstract summary: HapTable is a multimodal interactive tabletop that allows users to interact with digital images and objects through natural touch gestures.
We present two examples of such applications, one for static and one for dynamic gestures, along with detailed user studies.
- Score: 5.963779150427328
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present HapTable; a multimodal interactive tabletop that allows users to
interact with digital images and objects through natural touch gestures, and
receive visual and haptic feedback accordingly. In our system, hand pose is
registered by an infrared camera and hand gestures are classified using a
Support Vector Machine (SVM) classifier. To display a rich set of haptic
effects for both static and dynamic gestures, we integrated electromechanical
and electrostatic actuation techniques effectively on tabletop surface of
HapTable, which is a surface capacitive touch screen. We attached four piezo
patches to the edges of tabletop to display vibrotactile feedback for static
gestures. For this purpose, the vibration response of the tabletop, in the form
of frequency response functions (FRFs), was obtained by a laser Doppler
vibrometer for 84 grid points on its surface. Using these FRFs, it is possible
to display localized vibrotactile feedback on the surface for static gestures.
For dynamic gestures, we utilize the electrostatic actuation technique to
modulate the frictional forces between finger skin and tabletop surface by
applying voltage to its conductive layer. Here, we present two examples of such
applications, one for static and one for dynamic gestures, along with detailed
user studies. In the first one, user detects the direction of a virtual flow,
such as that of wind or water, by putting their hand on the tabletop surface
and feeling a vibrotactile stimulus traveling underneath it. In the second
example, user rotates a virtual knob on the tabletop surface to select an item
from a menu while feeling the knob's detents and resistance to rotation in the
form of frictional haptic feedback.
Related papers
- Beyond Gestures: Estimating Full Hand Pose and Contact Forces from Wrist-Worn Pressure Sensor Array [4.346598091476058]
Capturing hand motion and interaction forces is critical for interactive computing, VR, and high-fidelity tactile demonstrations for robot learning.<n>We introduce a wrist-worn pressure-sensing wristband that recovers continuous full-hand pose and distributed contact force on a single wearable.
arXiv Detail & Related papers (2026-09-15T02:08:21Z) - TacClip: a clip-on sensor measures dynamic contact forces without covering the fingerpads [6.816222543744948]
TacClip is a wearable device for recording fingertip deformation caused by contact forces and vibrations.<n>It can be combined with vision- or glove-based hand tracking systems that leave the fingertips uncovered.<n>The signal is produced by a Fiber Bragg Grating embedded on a small plastic clip mounted over the fingernail.
arXiv Detail & Related papers (2026-09-08T03:55:55Z) - AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion [60.79507611737292]
Humans achieve stable and adaptive grasps by seamlessly integrating visual perception and tactile feedback.<n>Existing robotic grasping approaches rely on visual inputs and lack mechanisms for tactile-guided adaptation after contact.<n>We propose a unified visuo-tactile-fusion grasping framework that integrates grasp generation, feasibility prediction, and adaptive refinement.
arXiv Detail & Related papers (2026-08-06T16:29:11Z) - Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation [74.87716678195099]
Visuo-Tactile policies leveraging optical tactile sensors have shown great promise in contact-rich manipulation.<n>Despite their advantages, extracting fine-grained contact states necessary for contact-rich manipulation remains an open challenge.<n>We propose a motion-aware tactile representation to facilitate contact-rich manipulation.
arXiv Detail & Related papers (2026-06-29T08:20:18Z) - Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention [53.84395207661823]
We propose Tactile-WAM, a touch-aware WAM with a Tactile Asymmetric Attention Mechanism (TAAM)<n>On ManiFeel, Tactile-WAM improves the mean success rate by 38.9% overall and by 86% on contact-rich tasks.
arXiv Detail & Related papers (2026-06-25T06:54:56Z) - A wearable haptic device for edge and surface simulation [3.093654748098734]
This paper presents a compact, lightweight fingertip haptic device (24.3 g) that delivers distinguishable surface and edge contact feedback.<n>Results indicate that the proposed device can effectively convey edge and tactile surface cues, potentially enhancing object manipulation fidelity in VR environments.
arXiv Detail & Related papers (2026-04-01T11:18:09Z) - OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction [93.88239833545623]
We present OpenTouch, the first in-the-wild egocentric full-hand tactile dataset.<n>We show that tactile signals provide a compact yet powerful cue for grasp understanding.<n>We aim to advance multimodal egocentric perception, embodied learning, and contact-rich robotic manipulation.
arXiv Detail & Related papers (2025-12-18T18:18:17Z) - Pinching Visuo-haptic Display: Investigating Cross-Modal Effects of Visual Textures on Electrostatic Cloth Tactile Sensations [19.59649652836687]
This paper investigates how visual texture presentation influences tactile perception when interacting with electrostatic cloth displays.<n>We propose a visuo-haptic system that allows users to pinch and rub virtual fabrics while feeling realistic frictional sensations by electrostatic actuation.
arXiv Detail & Related papers (2025-11-08T09:53:03Z) - Fluidically Innervated Lattices Make Versatile and Durable Tactile Sensors [41.98879562938879]
We introduce a passive soft robotic fingertip with integrated tactile sensing, fabricated using a 3D-printed elastomer lattice with embedded air channels.<n>This sensorization approach, termed fluidic innervation, transforms the lattice into a tactile sensor by detecting pressure changes within sealed air channels.
arXiv Detail & Related papers (2025-07-28T18:00:04Z) - Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper [7.618517580705364]
We present a portable, lightweight gripper with integrated tactile sensors.<n>We propose a cross-modal representation learning framework that integrates visual and tactile signals.<n>We validate our approach on fine-grained tasks such as test tube insertion and pipette-based fluid transfer.
arXiv Detail & Related papers (2025-07-20T17:53:59Z) - General In-Hand Object Rotation with Vision and Touch [46.871539289388615]
We introduce RotateIt, a system that enables fingertip-based object rotation along multiple axes.
We distill it to operate on realistic yet noisy simulated visuotactile and proprioceptive sensory inputs.
arXiv Detail & Related papers (2023-09-18T17:59:25Z) - Controllable Visual-Tactile Synthesis [28.03469909285511]
We develop a conditional generative model that synthesizes both visual and tactile outputs from a single sketch.
We then introduce a pipeline to render high-quality visual and tactile outputs on an electroadhesion-based haptic device.
arXiv Detail & Related papers (2023-05-04T17:59:51Z) - Tactile-Filter: Interactive Tactile Perception for Part Mating [54.46221808805662]
Humans rely on touch and tactile sensing for a lot of dexterous manipulation tasks.
vision-based tactile sensors are being widely used for various robotic perception and control tasks.
We present a method for interactive perception using vision-based tactile sensors for a part mating task.
arXiv Detail & Related papers (2023-03-10T16:27:37Z) - The Gesture Authoring Space: Authoring Customised Hand Gestures for
Grasping Virtual Objects in Immersive Virtual Environments [81.5101473684021]
This work proposes a hand gesture authoring tool for object specific grab gestures allowing virtual objects to be grabbed as in the real world.
The presented solution uses template matching for gesture recognition and requires no technical knowledge to design and create custom tailored hand gestures.
The study showed that gestures created with the proposed approach are perceived by users as a more natural input modality than the others.
arXiv Detail & Related papers (2022-07-03T18:33:33Z) - Dynamic Modeling of Hand-Object Interactions via Tactile Sensing [133.52375730875696]
In this work, we employ a high-resolution tactile glove to perform four different interactive activities on a diversified set of objects.
We build our model on a cross-modal learning framework and generate the labels using a visual processing pipeline to supervise the tactile model.
This work takes a step on dynamics modeling in hand-object interactions from dense tactile sensing.
arXiv Detail & Related papers (2021-09-09T16:04:14Z) - Elastic Tactile Simulation Towards Tactile-Visual Perception [58.44106915440858]
We propose Elastic Interaction of Particles (EIP) for tactile simulation.
EIP models the tactile sensor as a group of coordinated particles, and the elastic property is applied to regulate the deformation of particles during contact.
We further propose a tactile-visual perception network that enables information fusion between tactile data and visual images.
arXiv Detail & Related papers (2021-08-11T03:49:59Z) - Learning Intuitive Physics with Multimodal Generative Models [24.342994226226786]
This paper presents a perception framework that fuses visual and tactile feedback to make predictions about the expected motion of objects in dynamic scenes.
We use a novel See-Through-your-Skin (STS) sensor that provides high resolution multimodal sensing of contact surfaces.
We validate through simulated and real-world experiments in which the resting state of an object is predicted from given initial conditions.
arXiv Detail & Related papers (2021-01-12T12:55:53Z) - Design and Control of Roller Grasper V2 for In-Hand Manipulation [6.064252790182275]
We present a novel non-anthropomorphic robot grasper with the ability to manipulate objects by means of active surfaces at the fingertips.
Active surfaces are achieved by spherical rolling fingertips with two degrees of freedom (DoF)
A further DoF is in the base of each finger, allowing the fingers to grasp objects over a range of size and shapes.
arXiv Detail & Related papers (2020-04-18T00:54:09Z) - OmniTact: A Multi-Directional High Resolution Touch Sensor [109.28703530853542]
Existing tactile sensors are either flat, have small sensitive fields or only provide low-resolution signals.
We introduce OmniTact, a multi-directional high-resolution tactile sensor.
We evaluate the capabilities of OmniTact on a challenging robotic control task.
arXiv Detail & Related papers (2020-03-16T01:31:29Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.