VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity
cs.RO
Submitted: 2026-06-25
Updated: 2026-09-22
Terminology
Sources
- A-SLIP: Acoustic Sensing for Continuous In-hand Slip Estimation
- Proximal Policy Optimization Algorithms
- Learning Versatile Humanoid Manipulation with Touch Dreaming
- ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface
- LightTact: A Visual-Tactile Fingertip Sensor for Deformation-Independent Contact Sensing
- AnySkin: Plug-and-play Skin Sensing for Robotic Touch
- DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation
- Sound of Touch: Active Acoustic Tactile Sensing via String Vibrations
- Swoosh! Rattle! Thump! -- Actions that Sound
- Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
- ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
- Decoupled Weight Decay Regularization
- Adam: A Method for Stochastic Optimization
- High-Dimensional Continuous Control Using Generalized Advantage Estimation
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving