cs.RO（2024-06-20）

📊 共 13 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (2)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation HYPERmotion：学习混合行为规划，实现自主的腿手协同操作 humanoid whole-body control locomotion
2 CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics CooHOI：通过操纵物体动力学学习协作式人-物交互 humanoid humanoid robot imitation learning
3 Asynchronous Large Language Model Enhanced Planner for Autonomous Driving 提出AsyncDriver，利用异步LLM增强的规划器提升自动驾驶性能 motion planning large language model
4 Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration 提出基于人机协作的LLM机器人操作增强方法，解决复杂环境下的操作难题 manipulation teleoperation large language model
5 IRASim: A Fine-Grained World Model for Robot Manipulation IRASim：用于机器人操作的细粒度世界模型，提升交互预测精度 manipulation world model
6 Adaptive Manipulation using Behavior Trees 提出自适应行为树，解决机器人操作中对非视觉环境信息的适应与学习问题 manipulation
7 UGV-CBRN: An Unmanned Ground Vehicle for Chemical, Biological, Radiological, and Nuclear Disaster Response 提出一种用于CBRN灾害响应的无人地面车辆系统，集成自主辐射绘图与半自主物质采样分析。 manipulation ✅
8 One Fling to Goal: Environment-aware Dynamics for Goal-conditioned Fabric Flinging 提出环境感知动力学模型，实现目标导向的单次抛掷式织物操作 manipulation
9 Autonomous Robotic Drilling System for Mice Cranial Window Creation 提出基于图像与力反馈的自主机器人颅骨钻孔系统，用于小鼠颅窗创建 manipulation

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

#题目一句话要点标签🔗⭐
10 Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach 提出基于多智能体深度强化学习的车联网无人驾驶无车道线驾驶策略 reinforcement learning deep reinforcement learning
11 Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting 提出VRD，一种基于向量化世界模型的梦境辅助多智能体运动预测方法 world model dreamer

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
12 LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning 提出LLM-A*算法，融合LLM与A*，提升大规模路径规划效率。 large language model
13 LLM Granularity for On-the-Fly Robot Control 探索纯语言控制：评估LLM在视觉受限场景下对机器人的控制能力 large language model

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