| 1 |
Meta-Optimization and Program Search using Language Models for Task and Motion Planning |
提出基于元优化和程序搜索的语言模型方法,用于任务与运动规划。 |
manipulation trajectory optimization motion planning |
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| 2 |
GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data |
GraspVLA:基于十亿级合成动作数据预训练的抓取基础模型 |
sim-to-real domain randomization flow matching |
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| 3 |
AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control |
提出自适应运动优化(AMO)框架,用于超灵巧人形机器人全身控制。 |
humanoid humanoid robot whole-body control |
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| 4 |
Visual Imitation Enables Contextual Humanoid Control |
VIDEOMIMIC:通过视觉模仿实现人型机器人的环境感知控制 |
humanoid humanoid robot humanoid control |
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| 5 |
OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation |
提出OpenHelix:一个开源双系统VLA模型,用于机器人操作的实证分析与优化。 |
manipulation vision-language-action VLA |
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| 6 |
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning |
提出MiDiGap,一种基于离散时间高斯过程混合模型的机器人策略学习方法 |
manipulation policy learning imitation learning |
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| 7 |
Learn to Swim: Data-Driven LSTM Hydrodynamic Model for Quadruped Robot Gait Optimization |
提出基于数据驱动LSTM的水动力学模型,用于水下四足机器人步态优化 |
quadruped legged robot locomotion |
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| 8 |
NMPC-Lander: Nonlinear MPC with Barrier Function for UAV Landing on a Mobile Platform |
提出NMPC-Lander,结合NMPC与CBF,实现无人机在移动平台上的精准安全着陆 |
MPC model predictive control |
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| 9 |
Self-Supervised Learning for Robotic Leaf Manipulation: A Hybrid Geometric-Neural Approach |
提出一种混合几何-神经自监督学习方法,用于农业机器人叶片操作。 |
manipulation depth estimation |
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| 10 |
Automated Action Generation based on Action Field for Robotic Garment Manipulation |
提出基于动作场的机器人服装操作方法,提升精度并降低计算时间 |
manipulation |
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| 11 |
Latent Adaptive Planner for Dynamic Manipulation |
提出隐空间自适应规划器LAP,解决动态操作中的实时适应性问题 |
manipulation |
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| 12 |
Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments |
提出一种集成控制框架,用于灾后动态环境中搜索救援机器人的自主导航。 |
motion planning motion tracking |
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