MMintLab/hydroshear: High Fidelity Tactile Shear Simulation ·
github.com · 622 words · saved by 1 readers
High Fidelity Tactile Shear Simulation
🏄 HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning HydroShear is a tactile shear simulator that enables sim-to-real transfer of tactile policies from simulation to the real world. This repository contains code to visualize HydroShear and train tactile policies for manipulation tasks such as peg insertion, bin packing, book shelving, and drawer pulling. Table of Contents ⚙️ Installation 🚀 Quickstart 🎥 Demo 🏋️ Training Stage 1: Teacher Training Stage 2: Teacher Training Stage 3: Student Training 🎮 Play 📄 License 🙏 Acknowledgements 📖…
saved by
related reading
- FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learningarxiv.org
- FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learningjasonjzliu.com
- Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Controlsteerable-policies.github.io
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusiondiffusion-policy.cs.columbia.edu
- [2606.19161] HT-Bench: Benchmarking and Learning Dexterous Full-Hand Tactile Representations with Egocentric Visionarxiv.org
- GitHub - google/hackable_diffusiongithub.com
- [2603.08546] Interactive World Simulator for Robot Policy Training and Evaluationarxiv.org
- DoorMan - NVIDIA GEAR Labdoorman-humanoid.github.io
- GitHub - google-deepmind/mujoco: Multi-Joint dynamics with Contact. A general purpose physics simulator.github.com
- Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learningarxiv.org
- GitHub - Genesis-Embodied-AI/genesis-world: Simulation platform for general-purpose robotics & embodied AI learning.genesis-embodied-ai.github.io
- Scalable Behavior Cloning with Open Data, Training, and Evaluationabc.bot