cs.RO（2025-07-21）

📊 共 14 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation 提出基于可执行运动先验的人形机器人站立上肢动作模仿框架 humanoid humanoid robot manipulation
2 GR-3 Technical Report GR-3：基于大规模视觉-语言-动作模型的通用机器人策略 manipulation bi-manual imitation learning
3 VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving 提出VLM-UDMC框架，利用视觉语言模型增强城市自动驾驶决策与运动控制 motion planning scene understanding foundation model ✅
4 Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs 提出Inter-LLM算法，解决复杂场景图中多对象收集任务 motion planning multimodal
5 Data-Driven MPC with Data Selection for Flexible Cable-Driven Robotic Arms 提出基于数据选择的数据驱动MPC方法，用于柔性缆索驱动机械臂的精确控制。 MPC model predictive control
6 Selective Densification for Rapid Motion Planning in High Dimensions with Narrow Passages 提出选择性稠密化方法以解决高维空间快速运动规划问题 motion planning
7 Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers 提出GIAVA：通过人眼注视和视觉Transformer的机器人高效鲁棒学习 manipulation Aloha ✅
8 A Universal Vehicle-Trailer Navigation System with Neural Kinematics and Online Residual Learning 提出基于神经运动学和在线残差学习的通用车辆-拖车导航系统 model predictive control motion planning
9 CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions CLEVER：基于流式主动学习，从人类指令中实现鲁棒的语义感知 humanoid

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
10 Compositional Coordination for Multi-Robot Teams with Large Language Models LAN2CB：利用大语言模型实现多机器人团队的自然语言指令协调 large language model
11 Gaze-supported Large Language Model Framework for Bi-directional Human-Robot Interaction 提出基于眼动追踪的大语言模型人机交互框架，提升协作任务中的用户支持。 large language model
12 MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation MobileUse：一种具有分层反思机制的GUI代理，用于自主移动设备操作 large language model multimodal ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
13 The Emergence of Deep Reinforcement Learning for Path Planning 综述深度强化学习在路径规划中的应用，聚焦自动驾驶、无人机和机器人平台。 reinforcement learning deep reinforcement learning DRL

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
14 DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion Models DiffPF：利用条件扩散模型进行生成式采样的可微粒子滤波，提升动态系统状态估计。 visual odometry multimodal

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