DLUT
硕士
world_model
PhysiCalWorld IN-CONTEXT PHYSICS CALIBRATION FOR WORLD MODELS
Not_All_Actions_Are_Equal_Rethinking_Conditioning_for_Dexterous_World_Models
LeWorldModel
I-JEPA
Faster-WAM_ Efficient Inference-Time Future Conditioning for Robust World Action Models
Fast LeWorldModel笔记
DriftWorld Fast World Modeling through Drifting
Dream-Tac A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
DREAM
Contact-Grounded Policy Dexterous Visuotactile Policy with Generative Contact Grounding
World Model
WLA笔记
Visuo-TactileWorldModels
VT-WAM Visual-Tactile World Action Model for Contact-Rich Manipulation
ViTacWorld-Scaling Visuo-Tactile World Models for Contact Rich Robot Manipulation
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
Robot-Factored World Models via Robot Rendering
PlayWorld-Learning Robot World Models from Autonomous Play
PlaNet
robot
pi0论文笔记
Visual Calibration Enables World Models as Zero-Shot Simulators
Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance
Ego2Robot Scalable Robot Data Synthesis from Egocentric Human Data
DeCAL_ Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination
DECOWAM-Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation
ASPIRE笔记
MLLM
Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters
Autonomous-Driving
Human-like autonomy emerges from self-play and a pinch of human data
Fiction
明日方舟
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