cs.RO(2023-12-05)

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支柱一:机器人控制 (Robot Control) (9 🔗2) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一:机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗
1 HARMONIOUS -- Human-like reactive motion control and multimodal perception for humanoid robots HARMONIOUS:类人机器人的人性化反应式运动控制与多模态感知 humanoid humanoid robot reactive motion
2 D-LGP: Dynamic Logic-Geometric Program for Reactive Task and Motion Planning 提出动态逻辑-几何规划(D-LGP)方法,用于响应式任务和运动规划 manipulation motion planning task and motion planning
3 Hierarchical Visual Policy Learning for Long-Horizon Robot Manipulation in Densely Cluttered Scenes 提出用于密集杂乱场景中长时程机器人操作的分层视觉策略学习方法 manipulation reinforcement learning policy learning
4 SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World SPOC:模仿模拟环境中的最短路径,实现真实世界中有效的导航和操作 manipulation reinforcement learning imitation learning
5 Dexterous Functional Grasping 提出基于仿真的灵巧手功能性抓取方法,结合人类数据提升控制稳定性 manipulation dexterous hand dexterous manipulation
6 PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation PolyFit:基于力/力矩反馈的监督学习方法,解决复杂形状的孔轴配合问题 sim-to-real reinforcement learning
7 6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation 提出一种基于点云配准的6D装配位姿估计方法,用于机器人操作。 manipulation
8 Design and Evaluation of an Uncertainty-Aware Shared-Autonomy System with Hierarchical Conservative Skill Inference 提出基于不确定性的分层保守技能推理共享自主系统,提升人机协作安全性。 teleoperation VR teleoperation imitation learning
9 Contact Energy Based Hindsight Experience Prioritization 提出基于接触能量的后见经验优先级排序算法,提升稀疏奖励机器人操作任务的学习效率。 manipulation reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
10 Human Demonstrations are Generalizable Knowledge for Robots DigKnow:利用人类演示视频中的通用知识提升机器人泛化能力 large language model

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