cs.RO(2025-05-11)

📊 共 12 篇论文 | 🔗 1 篇有代码

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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 提出X-Sim框架以解决机器人模仿学习中的动作标签缺失问题 manipulation sim-to-real teleoperation
2 FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots 提出FACET以解决腿部机器人在力交互中的控制问题 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 提出UniDiffGrasp以解决双臂开放词汇约束抓取问题 dual-arm open-vocabulary open vocabulary
4 The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned 提出移动操控挑战以解决实验室自动化问题 manipulation mobile manipulation
5 YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework from Perception to Action 提出YOPOv2-Tracker以解决四旋翼高延迟跟踪与导航问题 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过滤器以解决复杂环境中的安全问题 quadruped humanoid humanoid robot
7 cpRRTC: GPU-Parallel RRT-Connect for Constrained Motion Planning 提出cpRRTC以解决约束运动规划问题 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 提出快慢决策框架以解决人机交互不足问题 reinforcement learning large language model
9 Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing 提出基于强化学习的单目视觉方法以解决无人机自主着陆问题 reinforcement learning depth estimation
10 Efficient Robotic Policy Learning via Latent Space Backward Planning 提出潜在空间反向规划以解决机器人实时控制效率与准确性问题 policy learning world model
11 Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR 提出一种基于2D LiDAR的现实反事实解释方法以提升移动机器人可解释性 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 提出DriveSOTIF以解决自动驾驶中的感知安全问题 large language model multimodal

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