cs.RO（2024-07-18）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7) 支柱三：空间感知与语义 (Perception & Semantics) (2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱四：生成式动作 (Generative Motion) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism 提出基于深度预测学习和体感注意力机制的双臂机器人重定位护理运动生成方法 humanoid humanoid robot dual-arm
2 Anticipatory Task and Motion Planning 提出基于学习的预测性任务与运动规划，解决连续任务场景中的副作用问题 manipulation motion planning task and motion planning
3 A New Tightly-Coupled Dual-VIO for a Mobile Manipulator With Dynamic Locomotion 提出一种新的紧耦合双目VIO，用于动态运动的移动机械臂 locomotion VIO
4 A Master-Follower Teleoperation System for Robotic Catheterization: Design, Characterization, and Tracking Control 设计主从遥操作机器人导管系统，用于机器人辅助导管插入术 teleoperation MAE
5 Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation 融合记忆架构与LLM，提升机器人跨任务动作生成能力 humanoid humanoid robot large language model
6 The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations 提出基于黎曼GMM的模仿学习方法，仅需少量演示即可完成复杂操作任务 manipulation
7 Integrated Design and Fabrication of Pneumatic Soft Robot Actuators in a Single Casting Step 提出单步铸造法，集成设计与制造气动软体机器人执行器 legged robot

🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗⭐
8 Simultaneous Localization and Affordance Prediction of Tasks from Egocentric Video 提出空间扩展的视觉-语言模型，用于从自我中心视频中同步定位任务并预测其可供性 affordance egocentric
9 OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping OVGNet：提出统一的视觉-语言框架，用于开放词汇的机器人抓取 open-vocabulary open vocabulary

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
10 Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning 提出基于DDPG的无人车自主导航方法，解决高维连续动作空间下的路径规划问题 reinforcement learning deep reinforcement learning DRL
11 LIMT: Language-Informed Multi-Task Visual World Models 提出LIMT：利用语言信息的视觉世界模型用于多任务机器人强化学习 reinforcement learning world model

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
12 The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset 提出一个人类多模态数据集，用于研究物体特征对抓取放置任务的影响。 motion generation multimodal

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

#题目一句话要点标签🔗⭐
13 Pushing the Limits of Reactive Planning: Learning to Escape Local Minima 提出基于学习的反应式规划方法，提升机器人逃离局部极小值能力 zero-shot transfer

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