| 1 |
Physically Consistent Humanoid Loco-Manipulation using Latent Diffusion Models |
利用潜在扩散模型生成引导,实现物理一致的人形机器人操作规划 |
humanoid manipulation loco-manipulation |
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| 2 |
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots |
提出RWM-U模型,解决离线MBRL在真实机器人上的应用难题 |
quadruped humanoid locomotion |
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| 3 |
ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance |
ManipDreamer:利用动作树和视觉引导增强机器人操作世界模型 |
manipulation world model dreamer |
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| 4 |
Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms |
提出基于强化学习的软体连续臂视觉伺服零样本迁移方法 |
sim-to-real motion planning reinforcement learning |
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| 5 |
Latent Diffusion Planning for Imitation Learning |
提出Latent Diffusion Planning,利用无动作和次优数据提升模仿学习效果 |
manipulation imitation learning multimodal |
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| 6 |
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning |
MOSAIC:一种面向技能的长程操作规划算法框架 |
manipulation motion planning |
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| 7 |
Fast Online Adaptive Neural MPC via Meta-Learning |
提出基于元学习的快速在线自适应神经MPC,提升机器人控制性能。 |
MPC model predictive control |
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| 8 |
PP-Tac: Paper Picking Using Tactile Feedback in Dexterous Robotic Hands |
PP-Tac:利用触觉反馈的灵巧手进行纸张拾取 |
dexterous hand motion generation embodied AI |
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| 9 |
Fast and Modular Whole-Body Lagrangian Dynamics of Legged Robots with Changing Morphology |
提出一种快速模块化的腿式机器人全身拉格朗日动力学建模方法,适应形态变化。 |
legged robot |
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| 10 |
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments |
DYNUS:面向动态未知环境的不确定性感知轨迹规划器 |
quadruped |
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| 11 |
Eigendecomposition Parameterization of Penalty Matrices for Enhanced Control Design: Aerospace Applications |
提出基于特征分解的惩罚矩阵参数化方法,提升航天控制系统设计性能 |
model predictive control |
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