A neural model reduces high-resolution tactile elastomer simulation cost by over 65% while improving geometric fidelity and enabling differentiable inference.
Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
DOT-Sim uses MPM physics plus learned residual optics to simulate deformable tactile sensors, supporting zero-shot sim-to-real transfer for classification and control tasks.
ETac is a data-driven tactile simulation framework that matches FEM deformation accuracy at high speed, supporting 4096 parallel environments at 869 FPS and yielding 84.45% success in blind grasping across four object types.
citing papers explorer
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Reduced-order Neural Modeling with Differentiable Simulation for High-Detail Tactile Perception
A neural model reduces high-resolution tactile elastomer simulation cost by over 65% while improving geometric fidelity and enabling differentiable inference.
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DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration
DOT-Sim uses MPM physics plus learned residual optics to simulate deformable tactile sensors, supporting zero-shot sim-to-real transfer for classification and control tasks.
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ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation
ETac is a data-driven tactile simulation framework that matches FEM deformation accuracy at high speed, supporting 4096 parallel environments at 869 FPS and yielding 84.45% success in blind grasping across four object types.