cs.RO(2025-08-27)

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支柱一:机器人控制 (Robot Control) (11 🔗2) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗
1 HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation 提出HERMES框架以解决多源人类动作数据转化为机器人行为的挑战 manipulation dexterous hand dexterous manipulation
2 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation 提出Long-VLA以解决长时间机器人操控任务的挑战 manipulation policy learning vision-language-action
3 FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control 提出FARM框架以解决高动态人形控制问题 humanoid humanoid control physically plausible
4 Impedance Primitive-augmented Hierarchical Reinforcement Learning for Sequential Tasks 提出阻抗原语增强的层次强化学习以解决顺序任务中的机器人操控问题 manipulation sim2real reinforcement learning
5 Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning 提出离散引导扩散以解决多机器人运动规划问题 motion planning spatiotemporal
6 APT*: Asymptotically Optimal Motion Planning via Adaptively Prolated Elliptical R-Nearest Neighbors 提出APT*以解决动态环境下的最优路径规划问题 manipulation motion planning
7 Autonomous Aerial Manipulation at Arbitrary Pose in SE(3) with Robust Control and Whole-body Planning 提出全向无人机操控框架以解决多旋翼操控局限问题 manipulation motion planning
8 Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization 提出G3T*以解决双向运动规划中的路径连接问题 motion planning
9 Elliptical K-Nearest Neighbors -- Path Optimization via Coulomb's Law and Invalid Vertices in C-space Obstacles 提出FDIT*以解决高维运动规划中的路径优化问题 manipulation mobile manipulation motion planning
10 Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors 提出模块化无监督技能发现框架以解决机器人技能学习问题 quadruped zero-shot transfer
11 DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View 提出DATR框架以解决稀疏视图下的苹果树3D重建问题 real2sim foundation model

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

#题目一句话要点标签🔗
12 Context-Aware Risk Estimation in Home Environments: A Probabilistic Framework for Service Robots 提出基于语义图的风险评估框架以提升服务机器人安全性 scene understanding

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