Dynamic Haptic Texture Synthesis via Adversarial Hyper-Dimensional Embedding and Generative Reflectance Mapping

**Abstract:** This paper introduces a novel framework, Dynamic Haptic Texture Synthesis (DHTS), for generating realistic and controllable haptic textures. DHTS leverages an adversarial network architecture combined with hyperdimensional embedding techniques and generative reflectance mapping to create textures that are both visually and physically plausible. The system dynamically modulates network parameters based on real-time sensory feedback, enabling adaptive texture generation and unprecedented levels of control over haptic properties. DHTS has significant implications for virtual reality, robotics, and materials science, offering the potential to simulate complex tactile experiences and design novel materials with tailored haptic characteristics.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16881546
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Haptic Texture Synthesis via Adversarial Hyper-Dimensional Embedding and Generative Reflectance Mapping

Zenodo (CERN European Organization for Nuclear Research)
Tactile and Sensory Interactions
article

Dynamic Haptic Texture Synthesis via Adversarial Hyper-Dimensional Embedding and Generative Reflectance Mapping

article en

Abstract

**Abstract:** This paper introduces a novel framework, Dynamic Haptic Texture Synthesis (DHTS), for generating realistic and controllable haptic textures. DHTS leverages an adversarial network architecture combined with hyperdimensional embedding techniques and generative reflectance mapping to create textures that are both visually and physically plausible. The system dynamically modulates network parameters based on real-time sensory feedback, enabling adaptive texture generation and unprecedented levels of control over haptic properties. DHTS has significant implications for virtual reality, robotics, and materials science, offering the potential to simulate complex tactile experiences and design novel materials with tailored haptic characteristics.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 54%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.