cs.RO（2025-06-04）

📊 共 20 篇论文 | 🔗 7 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (13 🔗3) 支柱三：空间感知与语义 (Perception & Semantics) (3 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (13 篇)

#题目一句话要点标签🔗⭐
1 Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration 提出基于深度强化学习的自主车辆横向控制方法以应对模型不完善问题 MPC model predictive control reinforcement learning
2 Phase-based Nonlinear Model Predictive Control for Humanoid Walking Stabilization with Single and Double Support Time Adjustments 提出基于相位的非线性模型预测控制以优化人形机器人步态稳定性 humanoid humanoid robot MPC
3 OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis 提出OWMM-Agent以解决开放世界移动操控问题 manipulation mobile manipulation scene understanding ✅
4 SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models 提出SwitchVLA以解决动态环境中的任务切换问题 manipulation vision-language-action VLA
5 Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data 提出一种新框架以解决机器人数据不完美带来的真实到仿真问题 bi-manual 3D gaussian splatting gaussian splatting
6 Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions 提出基于大语言模型的方法以理解未见变形物体的物理属性 motion planning large language model task and motion planning
7 Object-centric 3D Motion Field for Robot Learning from Human Videos 提出对象中心的3D运动场以解决机器人从人类视频学习的挑战 manipulation policy learning cross-embodiment
8 SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL 提出SLAC以解决高自由度机器人控制的样本效率问题 manipulation mobile manipulation bi-manual
9 Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving 提出信心引导的人机协作策略以解决自动驾驶中的安全探索问题 shared control reinforcement learning imitation learning ✅
10 A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems 提出双层优化方法以解决冗余双臂机器人最小时间问题 dual-arm
11 FLIP: Flowability-Informed Powder Weighing 提出FLIP框架以解决粉末称量中的自适应自动化问题 manipulation policy learning curriculum learning
12 STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization 提出STAR框架以解决机器人技能抽象中的代码本崩溃问题 manipulation VQ-VAE
13 RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics 提出RoboRefer以解决机器人空间指称与推理问题 humanoid ✅

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗⭐
14 Learning Smooth State-Dependent Traversability from Dense Point Clouds 提出SPARTA以解决越野自主驾驶中的地形可通行性问题 traversability ✅
15 cuVSLAM: CUDA accelerated visual odometry and mapping 提出cuVSLAM以解决自主机器人定位与地图构建问题 visual odometry
16 Pseudo-Simulation for Autonomous Driving 提出伪仿真以解决自动驾驶评估中的局限性 3D gaussian splatting gaussian splatting splatting ✅

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

#题目一句话要点标签🔗⭐
17 SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning 提出SGN-CIRL框架以解决无地图机器人导航问题 reinforcement learning imitation learning curriculum learning ✅
18 SemNav: A Model-Based Planner for Zero-Shot Object Goal Navigation Using Vision-Foundation Models 提出SemNav以解决零-shot目标物体导航问题 reinforcement learning embodied AI foundation model

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

#题目一句话要点标签🔗⭐
19 A Framework Leveraging Large Language Models for Autonomous UAV Control in Flying Networks 提出FLUC框架以实现无人机在飞行网络中的自主控制 large language model
20 CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation 提出CARE以解决视觉导航中的碰撞避免问题 foundation model ✅

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