cs.RO（2025-02-10）

📊 共 12 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱二：RL算法与架构 (RL & Architecture) (1 🔗1) 支柱七：动作重定向 (Motion Retargeting) (1 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Discovery of skill switching criteria for learning agile quadruped locomotion 提出一种分层强化学习框架，实现四足机器人多技能敏捷运动的自动切换与稳定控制。 quadruped locomotion Unitree
2 AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection AgilePilot：基于DRL和目标检测的无人机实时动态环境运动规划 sim2real motion planning reinforcement learning
3 SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps SIREN：一种无需初始化的多机器人高斯溅射地图语义配准方法 quadruped gaussian splatting splatting
4 Infinite-Horizon Value Function Approximation for Model Predictive Control 提出基于神经网络的无限时域值函数近似方法，提升模型预测控制的全局稳定性和安全性 model predictive control trajectory optimization
5 Predictive Red Teaming: Breaking Policies Without Breaking Robots 提出预测红队技术以识别政策脆弱性 manipulation imitation learning diffusion policy
6 Interaction-aware Conformal Prediction for Crowd Navigation 提出交互感知的保形预测方法以解决人群导航中的不确定性问题 model predictive control motion planning ✅
7 Inflatable Kirigami Crawlers 提出基于可充气 Kirigami 结构的软体爬行器，实现可控形变与移动 locomotion
8 Portable, High-Frequency, and High-Voltage Control Circuits for Untethered Miniature Robots Driven by Dielectric Elastomer Actuators 提出用于介电弹性体驱动的微型机器人高频高压便携控制电路 locomotion
9 Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots 提出基于奖励的避障轨迹规划算法，用于自主机器人的最优路径选择 quadruped

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

#题目一句话要点标签🔗⭐
10 Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models 提出Occ-LLM，利用Occupancy信息增强自动驾驶系统的大语言模型能力 large language model

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

#题目一句话要点标签🔗⭐
11 SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding 提出SIGMA框架以解决多智能体路径规划问题 reinforcement learning deep reinforcement learning ✅

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
12 Real-Time LiDAR Point Cloud Compression and Transmission for Resource-constrained Robots 针对资源受限机器人，提出实时LiDAR点云压缩与传输框架RCPCC spatial relationship ✅

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