cs.RO（2025-11-23）

📊 共 12 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (9 🔗3) 支柱三：空间感知 (Perception & SLAM) (2) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Splatblox: Traversability-Aware Gaussian Splatting for Outdoor Robot Navigation 提出Splatblox以解决户外机器人导航中的可通行性问题 quadruped gaussian splatting traversability
2 SafeFall: Learning Protective Control for Humanoid Robots SafeFall：学习人形机器人保护性控制，降低跌倒损伤 humanoid humanoid robot bipedal
3 Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control 利用动态反馈扩展电磁导航系统工作空间，实现单/多智能体控制 manipulation pose estimation navigation
4 AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations AutoFocus-IL：基于VLM显著性图的数据高效视觉模仿学习，无需额外人工标注 manipulation imitation learning behavior cloning ✅
5 Object-centric Task Representation and Transfer using Diffused Orientation Fields 提出基于扩散方向场的物体中心任务表示与迁移方法，解决机器人曲面物体操作难题。 manipulation point cloud localization ✅
6 How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints 提出LatentCBF，解决难建模约束下的平滑安全滤波问题，提升视觉运动控制任务完成率。 manipulation reinforcement learning
7 MicCheck: Repurposing Off-the-Shelf Pin Microphones for Easy and Low-Cost Contact Sensing MicCheck：利用现成领夹麦克风实现简易低成本的接触感知 manipulation imitation learning
8 An Analysis of Constraint-Based Multi-Agent Pathfinding Algorithms 通过约束分类指导多智能体路径规划算法设计，提升问题求解效率与方案质量 motion planning ✅
9 Explicit Bounds on the Hausdorff Distance for Truncated mRPI Sets via Norm-Dependent Contraction Rates 提出显式界限以解决截断mRPI集的Hausdorff距离问题 MPC

🔬 支柱三：空间感知 (Perception & SLAM) (2 篇)

#题目一句话要点标签🔗⭐
10 AIA-UltraNeRF:Acoustic-Impedance-Aware Neural Radiance Field with Hash Encodings for Robotic Ultrasound Reconstruction and Localization AIA-UltraNeRF：声阻抗感知神经辐射场用于机器人超声重建与定位 NeRF neural radiance localization
11 APULSE: A Scalable Hybrid Algorithm for the RCSPP on Large-Scale Dense Graphs APULSE：一种可扩展的混合算法，用于求解大规模稠密图上的资源约束最短路径问题 navigation PULSE

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

#题目一句话要点标签🔗⭐
12 Dreaming Falcon: Physics-Informed Model-Based Reinforcement Learning for Quadcopters Dreaming Falcon：基于物理信息的四旋翼飞行器模型预测强化学习 reinforcement learning world model dreamer

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