TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation
cs.RO
Submitted: 2026-09-16
Updated: 2026-09-16
Project page: https://tacbpm.github.io
Terminology
Sources
- AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch
- Proximal Policy Optimization Algorithms
- Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
- SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
- Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
- ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
- Neural probabilistic motor primitives for humanoid control
- ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
- Neural Categorical Priors for Physics-Based Character Control
- DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
- Lessons from Learning to Spin "Pens"
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
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