cs.RO（2025-05-02）

📊 共 13 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (10 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 Model Tensor Planning 提出模型张量规划以解决采样效率低下问题 humanoid humanoid locomotion locomotion
2 DexFlow: A Unified Approach for Dexterous Hand Pose Retargeting and Interaction 提出DexFlow以解决灵巧手姿态重定向与交互问题 manipulation dexterous hand dexterous manipulation
3 Phasing Through the Flames: Rapid Motion Planning with the AGHF PDE for Arbitrary Objective Functions and Constraints 提出AGHF PDE以解决高维机器人运动规划问题 humanoid trajectory optimization motion planning ✅
4 DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning 提出DexCtrl以解决仿真到现实的灵巧操控问题 manipulation dexterous manipulation sim-to-real
5 High Speed Robotic Table Tennis Swinging Using Lightweight Hardware with Model Predictive Control 提出高精度机器人乒乓球挥拍系统以解决击球风格多样性问题 MPC model predictive control
6 ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow 提出ViSA-Flow以解决机器人技能学习中的数据收集成本问题 manipulation human-object interaction ✅
7 Deformable Cargo Transport in Microgravity with Astrobee 提出pyastrobee以解决微重力下货物运输问题 manipulation MPC ✅
8 ASAP-MO:Advanced Situational Awareness and Perception for Mission-critical Operations 提出ASAP-MO以解决多机器人协同作业中的复杂性问题 teleoperation
9 Physics-Constrained Robot Grasp Planning for Dynamic Tool Use 提出iTuP框架以解决动态工具使用中的抓取稳定性问题 manipulation
10 Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling 提出基于核心集提取的点云下采样算法以优化SLAM性能 trajectory optimization

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

#题目一句话要点标签🔗⭐
11 Towards Cognitive Collaborative Robots: Semantic-Level Integration and Explainable Control for Human-Centric Cooperation 提出统一的认知协同架构以解决人机协作中的信任与安全问题 reinforcement learning distillation semantic mapping
12 Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings 提出条件最优传输耦合以加速流基视觉运动策略 diffusion policy flow matching distillation

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

#题目一句话要点标签🔗⭐
13 Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning 提出一种新方法以提升自主智能体在室内环境中的表现 embodied AI

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