| 1 |
STORM: Search-Guided Generative World Models for Robotic Manipulation |
STORM:面向机器人操作的搜索引导生成世界模型 |
manipulation world model latent dynamics |
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| 2 |
AOMGen: Photoreal, Physics-Consistent Demonstration Generation for Articulated Object Manipulation |
AOMGen:用于铰接物体操作的逼真、物理一致的演示数据生成框架 |
manipulation world model vision-language-action |
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| 3 |
Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation |
AtomSkill:面向多任务机器人操作,学习语义原子技能以提升泛化性 |
manipulation imitation learning contrastive learning |
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| 4 |
On Swarm Leader Identification using Probing Policies |
提出基于交互式探测的群体机器人领导者识别方法,解决对抗环境下的领导者隐藏问题。 |
sim-to-real reinforcement learning deep reinforcement learning |
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| 5 |
Deterministic Reconstruction of Tennis Serve Mechanics: From Aerodynamic Constraints to Internal Torques via Rigid-Body Dynamics |
提出基于刚体动力学的网球发球力学确定性重建方法,从空气动力学约束推导内部扭矩。 |
trajectory optimization |
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