ProxiDex: Learning Dynamics-Guided Proximity Policy for Dexterous Manipulation
cs.RO, cs.AI
Submitted: 2026-09-15
Updated: 2026-09-15
Comments: Accepted at the 10th Conference on Robot Learning (CoRL 2026). Project page: https://proxidex.github.io/
Code: https://github.com/teal024/FoundationPose-plus-plus
Project page: https://proxidex.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
- FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation
- Contact-Grounded Policy: Dexterous Visuotactile Policy with Generative Contact Grounding
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
- DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove
- Dexterous Teleoperation of 20-DoF ByteDexter Hand via Human Motion Retargeting
- AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
- DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation
- DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
- Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction
- DexImit: Learning Bimanual Dexterous Manipulation from Monocular Human Videos
- Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
- LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
- OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation
- Visuo-Tactile World Models
- VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
- Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning
- Scaling Cross-Embodiment World Models for Dexterous Manipulation
- Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
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