Tactile Sim2Real without Tactile Simulation via Bottlenecked Latent Reconstruction
cs.RO
Submitted: 2026-08-16
Updated: 2026-10-12
Sources
- Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
- DexterityGen: Foundation Controller for Unprecedented Dexterity
- Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks
- Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation
- VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation
- Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
- Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
- VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback
- Sparsh: Self-supervised touch representations for vision-based tactile sensing
- AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors
- OmniVTLA: Vision-Tactile-Language-Action Models with Semantic-Aligned Tactile Sensing
- FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation
- TactSpace: Learning a Physics-enriched Shared Latent Space for Tactile Sim-to-Real Transfer
- Cross-Sensor Touch Generation
- EgoMimic: Scaling Imitation Learning via Egocentric Video
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Proximal Policy Optimization Algorithms
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
- Factory: Fast Contact for Robotic Assembly
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