- Exploring Tactile Perceptual Dimensions Using Materials Associated with Sensory Vocabulary
[Frontiers in Psycholog, 2017] [paper]
- Deep Domain Adaptation Regression for Force Calibration of Optical Tactile Sensors
[paper]
Title | Paper |
---|---|
When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective | https://arxiv.org/abs/2406.12226 |
Design of a High-Performance Tomographic Tactile Sensor by Manipulating the Detector Conductivity | https://arxiv.org/abs/2406.00978 |
Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation | https://arxiv.org/abs/2404.15131 |
RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors | https://arxiv.org/abs/2406.09332 |
Automatic Calibration for an Open-source Magnetic Tactile Sensor | https://arxiv.org/abs/2405.18582 |
BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads | https://arxiv.org/abs/2405.13204 |
Optimizing BioTac Simulation for Realistic Tactile Perception | https://arxiv.org/abs/2404.10425 |
A Novel Bioinspired Neuromorphic Vision-based Tactile Sensor for Fast Tactile Perception | https://arxiv.org/abs/2403.10120 |
- Active Exploration for Real-Time Haptic Training
[ICRA 2024] [paper]
Goal: Focusing on only the most informative aspects of an object during data collection.
Method: We demonstrate ouractive learning approach
usinga biomimentic sensor
, exploring“tactile scenes” composed of shapes, textures, and objects
.
- Octopi: Object Property Reasoning with Large Tactile-Language Models
[RSS 2024] [paper] [code]
Object Property Reasoning == Physical Property Reasoning
. Generally, static physical properties of objects are categorized into geometric (e.g., size), material (e.g., hardness), and affective (e.g., comfort).
Dataset: contribute the PHYSICLEAR dataset, which comprisesGelSight images
on a variety of real world objects, along withobject labels
andpart annotations
.Three physical property annotations
: hardness, roughness, and bumpiness. PHYSICLEAR also includes an training and evaluation suite comprisingfive reasoning tasks
, which can serve as abenchmark
for the research community.
Traing & Evaluation Suite: comprises five physical reasoning tasks. - Tactile-Augmented Radiance Fields
[CVPR 2024] [paper]
Goal: Learning a scene representation
Title | Paper |
---|---|
Learning Visuotactile Skills with Two Multifingered Hands | https://arxiv.org/abs/2404.16823 |
PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation | https://arxiv.org/abs/2403.15107 |
Title | Paper |
---|---|
Soft Contact Simulation and Manipulation Learning of Deformable Objects with Vision-based Tactile Sensor | https://arxiv.org/abs/2405.07237v1 |
A Case Study on Visual-Audio-Tactile Cross-Modal Retrieval
[IROS2024] [paper] 🌟
Title | Paper |
---|---|
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All | https://arxiv.org/abs/2405.16108 |
Task-Oriented Mulsemedia Communication using Unified Perceiver and Conformal Prediction in 6G Metaverse Systems | https://arxiv.org/abs/2405.08949 |
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation | https://arxiv.org/abs/2405.08576 |
Multi-modal perception for soft robotic interactions using generative models | https://arxiv.org/abs/2404.04220 |
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World | https://arxiv.org/abs/2401.08577 |
- Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
[CVPR 2024] [paper]
Image Synthesis Tasks with Touch:touch-to-image generation
,tactile-driven image stylization
.Model
: UniTouch representation + text-to-image diffusion model.Metrics
: FID, CVTP. - Generating Visual Scenes from Touch
[ICCV 2023] [paper]
Title | Paper |
---|---|
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks | https://arxiv.org/abs/2406.13640 |
- Telextiles: End-to-end Remote Transmission of Fabric Tactile Sensation
[UIST 2023] [paper]
Goal: remotely transmit tactile sensations of textiles.
Method: we propose Telextiles,an interface
that can remotely transmit tactile sensations of textiles bycreating a latent space
that reflects the proximity of textiles throughcontrastive self-supervised learning
.
Essence: Fabric Recognization.
Title | Paper |
---|---|
Pinching Tactile Display: A Cloth that Changes Tactile Sensation by Electrostatic Adsorption | https://arxiv.org/abs/2405.03358 |
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors | https://arxiv.org/abs/2403.13701 |
Exploring Human-AI Perception Alignment in Sensory Experiences: Do LLMs Understand Textile Hand? | https://arxiv.org/abs/2406.06587 |
Title | Paper |
---|---|
SonicSense: Object Perception from In-Hand Acoustic Vibration | https://arxiv.org/abs/2406.17932 |
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals | https://arxiv.org/abs/2405.01192 |
Visuo-Tactile based Predictive Cross Modal Perception for Object Exploration in Robotics | https://arxiv.org/abs/2405.12634 |
- TEXasGAN: Tactile Texture Exploration and Synthesis System Using Generative Adversarial Network
[paper] - An Active Learning Framework with a Class Balancing Strategy for Time Series Classification
[paper]
Title | Paper |
---|---|
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification | https://arxiv.org/abs/2404.15279 |
Title | Paper |
---|---|
Stable Object Placing using Curl and Diff Features of Vision-based Tactile Sensors | https://arxiv.org/abs/2403.19129 |
Title | Paper |
---|---|
Learning Object Compliance via Young's Modulus from Single Grasps with Camera-Based Tactile Sensors | https://arxiv.org/abs/2406.15304 |
Title | Paper |
---|---|
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces | https://arxiv.org/abs/2403.20275 |
Title | Paper |
---|---|
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction | https://arxiv.org/abs/2405.17038 |
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction | https://arxiv.org/abs/2405.17038 |
Application of Artificial Intelligence in Hand Gesture Recognition with Virtual Reality: Survey and Analysis of Hand Gesture Hardware Selection | https://arxiv.org/abs/2405.16264 |
- masked Visual-Tactile Pre-training for robot manipulation
[ICRA 2024] [blog post]
Task: bottle-cap turning
Dataset: a bottle-cap turning dataset by visual-tactile acquistion system
Method:MAE
+MDP
- Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance
[paper] [code]
Task: USB cable plugging - RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
[RSS 2024] [paper]
Task: dense packing
Title | Paper |
---|---|
Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile Sensors for Rigid and Soft Object Manipulation | https://arxiv.org/abs/2403.16764 |
Visuo-Tactile Pretraining for Cable Plugging | https://arxiv.org/abs/2403.11898 |
Visuo-Tactile Keypoint Correspondences for Object Manipulation | https://arxiv.org/abs/2405.14515 |
Title | Paper |
---|---|
Comparing the Effects of Visual, Haptic, and Visuohaptic Encoding on Memory Retention of Digital Objects in Virtual Reality | https://arxiv.org/abs/2406.14139 |
Haptic Repurposing with GenAI | https://arxiv.org/abs/2406.07228 |
Towards Robotic Haptic Proxies in Virtual Reality | https://arxiv.org/abs/2406.04491 |
Title | Paper |
---|---|
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch | https://arxiv.org/abs/2405.07391 |
Title | Paper |
---|---|
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly | https://arxiv.org/abs/2404.17684 |
Title | Paper |
---|---|
An Electromagnetism-Inspired Method for Estimating In-Grasp Torque from Visuotactile Sensors | https://arxiv.org/abs/2404.15626 |
Title | Paper |
---|---|
Spatial Summation of Localized Pressure for Haptic Sensory Prostheses | https://arxiv.org/abs/2404.02565 |