归档
2026 57 篇
- 10-18
- 10-17
- 10-17
PlayWorld: Learning Robot World Models from Autonomous Play
10-15Contact-Grounded Policy: Dexterous Visuotactile Policy with Generative Contact Grounding
10-01Human-like autonomy emerges from self-play and a pinch of human data
09-28DriftWorld: Fast World Modeling through Drifting
09-24Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
09-21VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
09-18Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model
09-17- 09-15
TacPAC：面向密集接触操作的世界-动作模型中的触觉预测与实时动作校正
09-14- 09-12
Faster-WAM_ Efficient Inference-Time Future Conditioning for Robust World Action Models
09-11Visual Calibration Enables World Models as Zero-Shot Simulators
09-10DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation
09-10Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?论文笔记
09-02- 08-19
- 08-19
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data论文笔记
08-05ViTacWorld: Scaling Visuo-Tactile World Models for Contact Rich Robot Manipulation论文笔记
08-04Robot-Factored World Models via Robot Rendering论文笔记
08-03- 07-22
- 07-16
- 07-12
- 07-11
- 07-10
- 07-09
- 07-08
- 07-06
- 06-06
- 05-18
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-17
- 05-13
- 05-13
- 05-13
- 05-13
- 05-12
- 05-12
- 05-12
- 04-23
- 04-19
- 04-19
- 04-15
- 04-06
- 04-06
- 03-31
- 03-31
2025 10 篇
- 12-10
- 11-05
- 11-02
- 11-02
- 11-02
- 11-02
- 11-02
- 11-02
- 11-02
- 11-02
