Elastic Tactile Simulation Towards Tactile-Visual Perception
Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
Abstract
Tactile sensing plays an important role in robotic perception and manipulation tasks. To overcome the real-world limitations of data collection, simulating tactile response in a virtual environment comes as a desirable direction of robotic research. In this paper, we propose Elastic Interaction of Particles (EIP) for tactile simulation, which is capable of reflecting the elastic property of the tactile sensor as well as characterizing the fine-grained physical interaction during contact. Specifically, 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. With the tactile simulation by EIP, we further propose a tactile-visual perception network that enables information fusion between tactile data and visual images. The perception network is based on a global-to-local fusion mechanism where multi-scale tactile features are aggregated to the corresponding local region of the visual modality with the guidance of tactile positions and directions. The fusion method exhibits superiority regarding the 3D geometric reconstruction task. Our code for EIP is available at https://github.com/yikaiw/EIP.
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Cited by top-tier papers2
- Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System DesignYongquan 'Owen' Hu, Jingyu Tang, Xinya Gong, Zhongyi Zhou et al.CHI 2025 · 37 citations
- VECA: A New Benchmark and Toolkit for General Cognitive DevelopmentKwanyoung Park, Hyunseok Oh, Youngki LeeAAAI 2022
Builds on3
- Deep Multimodal Fusion by Channel ExchangingYikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu et al.NeurIPS 2020 · 321 citations
- 3D Shape Reconstruction from Vision and TouchEdward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari et al.NeurIPS 2020 · 90 citations
- Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer FusionYikai Wang, Fuchun Sun, Ming Lu, Anbang YaoACM MM 2020 · 66 citations
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