cs.RO（2025-05-05）

📊 共 13 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (9 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱四：生成式动作 (Generative Motion) (1) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 TWIST: Teleoperated Whole-Body Imitation System 提出TWIST系统以解决人形机器人全身协调控制问题 humanoid humanoid robot whole-body control
2 MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning 提出MORE以解决长距离移动操控中的重排问题 manipulation mobile manipulation foundation model
3 Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks 提出GCS方法以解决触觉传感器的Sim2Real转移问题 manipulation in-hand manipulation sim-to-real
4 Sim2Real Transfer for Vision-Based Grasp Verification 提出视觉基础的抓取验证方法以解决变形物体处理问题 manipulation sim2real ✅
5 Quadrupedal Spine Control Strategies: Exploring Correlations Between System Dynamic Responses and Human Perspectives 提出四足机器人脊柱控制策略以提升人机交互自然性 quadruped locomotion
6 A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints 提出基于控制屏障函数的实时安全过滤器以解决运动规划中的碰撞避免问题 motion planning
7 Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups 提出黎曼直接轨迹优化方法以解决刚体动态轨迹设计问题 trajectory optimization
8 Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation 提出点云重组方法以解决LiDAR感知验证问题 humanoid
9 ZeloS -- A Research Platform for Early-Stage Validation of Research Findings Related to Automated Driving 提出ZeloS平台以验证自动驾驶研究方法的有效性 motion planning

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

#题目一句话要点标签🔗⭐
10 Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning 提出基于大语言模型的自动化混合奖励调度以提升机器人技能学习 reinforcement learning large language model

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
11 Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions 提出高阶控制障碍与李雅普诺夫函数以解决软机器人安全问题 contact-aware

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

#题目一句话要点标签🔗⭐
12 Estimating Commonsense Scene Composition on Belief Scene Graphs 提出基于信念场景图的常识场景组合方法以估计空间分布 spatial relationship large language model

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

#题目一句话要点标签🔗⭐
13 HapticVLM: VLM-Driven Texture Recognition Aimed at Intelligent Haptic Interaction 提出HapticVLM以解决智能触觉交互中的材料识别问题 multimodal

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