cs.RO（2025-08-20）

📊 共 11 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 Taming VR Teleoperation and Learning from Demonstration for Multi-Task Bimanual Table Service Manipulation 提出VR远程操作与示范学习结合的方法以解决双手桌面服务操作问题 manipulation bi-manual teleoperation
2 A Vision-Based Shared-Control Teleoperation Scheme for Controlling the Robotic Arm of a Four-Legged Robot 提出基于视觉的共享控制远程操作方案以解决四足机器人操控难题 quadruped legged robot teleoperation
3 FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy 提出FBI框架以解决灵巧的手内操作问题 manipulation dexterous manipulation in-hand manipulation
4 In-Context Iterative Policy Improvement for Dynamic Manipulation 提出基于上下文的迭代策略改进以解决动态操控问题 manipulation large language model
5 Action-Constrained Imitation Learning 提出动作约束模仿学习以解决安全行为问题 model predictive control policy learning imitation learning ✅
6 Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations 通过预训练动态表示提升有限专家数据下的模仿学习性能 quadruped imitation learning
7 GraspQP: Differentiable Optimization of Force Closure for Diverse and Robust Dexterous Grasping 提出GraspQP以解决多样化和稳健的灵巧抓取问题 manipulation dexterous hand grasp prediction

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

#题目一句话要点标签🔗⭐
8 DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models 提出DEXTER-LLM以解决多机器人系统在未知环境中的动态协调问题 large language model ✅
9 Can LLM Agents Solve Collaborative Tasks? A Study on Urgency-Aware Planning and Coordination 提出基于LLM的协作任务解决方案以应对紧急救援问题 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🔗⭐
10 D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy 提出D$^2$-LIO以解决LiDAR特征退化问题 LIO feature matching

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
11 An Informative Planning Framework for Target Tracking and Active Mapping in Dynamic Environments with ASVs 提出信息规划框架以解决动态环境中的目标跟踪问题 spatiotemporal

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