| 1 |
Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture |
通过探查VLA模型内部状态,实现认知架构集成,提升机器人操作的可靠性 |
manipulation vision-language-action VLA |
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| 2 |
Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning |
提出语言引导的偏好学习方法,高效生成拟人四足机器人行为 |
quadruped legged locomotion locomotion |
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| 3 |
DexterityGen: Foundation Controller for Unprecedented Dexterity |
DexterityGen:用于前所未有灵巧性的基础控制器 |
manipulation dexterous manipulation sim-to-real |
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| 4 |
Large Language Models for Multi-Robot Systems: A Survey |
综述:大型语言模型赋能多机器人系统,探索应用与挑战 |
motion planning large language model |
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| 5 |
Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections |
提出基于双层多臂老虎机的分层强化学习框架BiM-ACPPO,用于无信号交叉口交互感知自动驾驶。 |
MPC model predictive control reinforcement learning |
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| 6 |
AnyPlace: Learning Generalized Object Placement for Robot Manipulation |
AnyPlace:学习通用物体放置,提升机器人操作能力 |
manipulation |
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| 7 |
Compliant Beaded-String Jamming For Variable Stiffness Anthropomorphic Fingers |
提出基于顺应性串珠阻塞的可变刚度拟人手指关节设计 |
manipulation |
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| 8 |
From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection |
提出基于SVM的学习型碰撞检测方法,并分析其样本复杂度 |
motion planning |
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