cs.RO（2025-05-11）

📊 共 12 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (4) 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 X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real X-Sim：利用真实-模拟-真实迁移学习，实现跨具身机器人操作策略学习 manipulation sim-to-real teleoperation ✅
2 FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots FACET：基于阻抗参考跟踪的力自适应控制，提升腿足机器人交互能力 quadruped legged robot humanoid
3 UniDiffGrasp: A Unified Framework Integrating VLM Reasoning and VLM-Guided Part Diffusion for Open-Vocabulary Constrained Grasping with Dual Arms UniDiffGrasp：融合VLM推理与扩散的开放词汇约束双臂抓取框架 dual-arm open-vocabulary open vocabulary
4 The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned WARA机器人挑战赛：移动操作助力实验室自动化，解决玻璃器皿搬运与清洁难题 manipulation mobile manipulation
5 YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework from Perception to Action 提出YOPOv2-Tracker，用于四旋翼飞行器端到端敏捷跟踪与导航 trajectory optimization motion planning reinforcement learning
6 Dynamic Safety in Complex Environments: Synthesizing Safety Filters with Poisson's Equation 提出基于泊松方程的安全滤波方法，用于复杂动态环境中机器人安全控制 quadruped humanoid humanoid robot
7 cpRRTC: GPU-Parallel RRT-Connect for Constrained Motion Planning 提出基于GPU并行和NVRTC的cpRRTC算法，加速约束条件下的机器人运动规划。 motion planning

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
8 Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning 提出基于LLM引导与强化学习的快慢架构，实现以人为中心的自动驾驶 reinforcement learning large language model
9 Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing 提出基于单目视觉和强化学习的无人机自主着陆方法 reinforcement learning depth estimation
10 Efficient Robotic Policy Learning via Latent Space Backward Planning 提出基于隐空间反向规划(LBP)的高效机器人策略学习方法 policy learning world model
11 Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR 提出基于2D LiDAR的对抗解释方法，用于理解和调试移动机器人强化学习控制策略。 reinforcement learning deep reinforcement learning DRL

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

#题目一句话要点标签🔗⭐
12 DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models DriveSOTIF：通过多模态大语言模型提升自动驾驶感知SOTIF large language model multimodal

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