cs.RO（2025-04-29）

📊 共 14 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (9 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (2) 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 SoccerDiffusion: Toward Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings SoccerDiffusion：提出基于Transformer的扩散模型，从RoboCup比赛录像中学习类人机器人足球的端到端控制策略。 humanoid humanoid robot fall recovery ✅
2 Confidence-based Intent Prediction for Teleoperation in Bimanual Robotic Suturing 针对双臂机器人缝合术，提出基于置信度的意图预测遥操作方法 bi-manual teleoperation shared control
3 Task and Joint Space Dual-Arm Compliant Control 提出一种双臂顺应控制方法，实现人机安全交互和精确操作。 manipulation dual-arm teleoperation ✅
4 PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations PRISM：基于投影的奖励集成，用于少样本场景感知的实-仿-实迁移 sim-to-real reinforcement learning imitation learning
5 Multi-Sensor Fusion for Quadruped Robot State Estimation using Invariant Filtering and Smoothing 提出基于不变滤波与平滑的多传感器融合框架，提升四足机器人状态估计精度。 quadruped LIO
6 XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search 提出XPG-RL，通过可解释的优先级引导强化学习提升机械搜索效率 manipulation reinforcement learning ✅
7 A Koopman Operator-based NMPC Framework for Mobile Robot Navigation under Uncertainty 提出基于Koopman算子的NMPC框架，解决移动机器人不确定性导航问题 model predictive control
8 Learning a General Model: Folding Clothing with Topological Dynamics 提出基于拓扑动力学模型的服装折叠通用方法，解决复杂服装操作难题。 manipulation
9 SPARK Hand: Scooping-Pinching Adaptive Robotic Hand with Kempe Mechanism for Vertical Passive Grasp in Environmental Constraints SPARK Hand：基于Kempe机构的自适应抓取手，实现环境约束下的垂直被动抓取 manipulation

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

#题目一句话要点标签🔗⭐
10 Automated Parking Trajectory Generation Using Deep Reinforcement Learning 提出基于SAC深度强化学习的自动泊车轨迹生成方法，提升复杂环境适应性和效率。 reinforcement learning deep reinforcement learning DRL
11 How to Coordinate UAVs and UGVs for Efficient Mission Planning? Optimizing Energy-Constrained Cooperative Routing with a DRL Framework 提出基于DRL的UAV-UGV协同路由框架，优化能量约束下的任务规划。 reinforcement learning deep reinforcement learning DRL

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

#题目一句话要点标签🔗⭐
12 Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models 利用大型语言模型识别自适应机器人中的不确定性 large language model
13 SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement 提出SAS-Prompt，利用大语言模型进行机器人策略的迭代自提升 large language model

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

#题目一句话要点标签🔗⭐
14 NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering NavEX：基于范例聚类的非凸非均匀环境多智能体覆盖 traversability

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