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Contact-Grounded Policy: Dexterous Visuotactile Policy with Generative Contact Grounding
DLUT
/
硕士
/
world_model
/
Contact-Grounded Policy Dexterous Visuotactile Policy with Generative Contact Grounding
约 9891 字
33 分钟
Robot
World Model
Dexterous world model
灵巧手
2026-10-01
Human-like autonomy emerges from self-play and a pinch of human data
DLUT
/
硕士
/
Autonomous-Driving
/
Human-like autonomy emerges from self-play and a pinch of human data
约 4868 字
16 分钟
Autonomous Driving
RL
Spiced self-play
2026-09-28
DriftWorld: Fast World Modeling through Drifting
DLUT
/
硕士
/
world_model
/
DriftWorld Fast World Modeling through Drifting
约 5246 字
17 分钟
Robot
World Model
World Action Model
Drifting Model
2026-09-24
Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
DLUT
/
硕士
/
world_model
/
Dream-Tac A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
约 6863 字
23 分钟
Robot
World Model
World Action Model
2026-09-21
VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
DLUT
/
硕士
/
world_model
/
VT-WAM Visual-Tactile World Action Model for Contact-Rich Manipulation
约 4855 字
16 分钟
Robot
World Model
world Action Model
2026-09-18
Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model
DLUT
/
硕士
/
world_model
/
Not_All_Actions_Are_Equal_Rethinking_Conditioning_for_Dexterous_World_Models
约 6219 字
21 分钟
Robot
World Model
Dexterous world model
灵巧手
2026-09-17
DeCAL_ Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination
DLUT
/
硕士
/
robot
/
DeCAL_ Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination
约 5276 字
18 分钟
Robot
VLA
灵巧手
2026-09-15
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
DLUT
/
硕士
/
world_model
/
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
约 5788 字
19 分钟
Robot
World Model
World Action Model
2026-09-14
Visuo-TactileWorldModels
DLUT
/
硕士
/
world_model
/
Visuo-TactileWorldModels
约 4470 字
15 分钟
Robot
World Model
World Action Model
2026-09-12
Faster-WAM_ Efficient Inference-Time Future Conditioning for Robust World Action Models
DLUT
/
硕士
/
world_model
/
Faster-WAM_ Efficient Inference-Time Future Conditioning for Robust World Action Models
约 5716 字
19 分钟
Robot
World Model
World Action Model
2026-09-11
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