cs.RO(2025-09-27)

📊 共 17 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (12 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (12 篇)

#题目一句话要点标签🔗
1 Open-Vocabulary Spatio-Temporal Scene Graph for Robot Perception and Teleoperation Planning 提出时空开放词汇场景图(ST-OVSG),增强机器人远程操作在时延下的规划鲁棒性。 teleoperation open-vocabulary open vocabulary
2 SAC-Loco: Safe and Adjustable Compliant Quadrupedal Locomotion 提出SAC-Loco,实现四足机器人安全可调的柔顺步态控制 quadruped locomotion reinforcement learning
3 In-Hand Manipulation of Articulated Tools with Dexterous Robot Hands with Sim-to-Real Transfer 提出基于强化学习和触觉反馈的灵巧手工具操作Sim-to-Real迁移方法 manipulation in-hand manipulation sim-to-real
4 CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation CE-Nav:面向跨形态机器人局部导航的流引导强化精炼方法 quadruped biped reinforcement learning
5 Preventing Robotic Jailbreaking via Multimodal Domain Adaptation 提出J-DAPT框架,通过多模态领域自适应防御机器人越狱攻击 quadruped large language model multimodal
6 LAGEA: Language Guided Embodied Agents for Robotic Manipulation LAGEA:一种基于语言引导的具身智能体用于机器人操作 manipulation reinforcement learning foundation model
7 Physically-Feasible Reactive Synthesis for Terrain-Adaptive Locomotion 提出一种地形自适应四足机器人运动的物理可行反应式综合框架 quadruped locomotion trajectory optimization
8 Multi-Modal Manipulation via Multi-Modal Policy Consensus 提出基于多模态策略共识的多模态操作方法,提升机器人操作的鲁棒性和灵活性。 manipulation multimodal
9 FTACT: Force Torque aware Action Chunking Transformer for Pick-and-Reorient Bottle Task FTACT:力/力矩感知的动作分块Transformer用于瓶子抓取与重定向任务 manipulation teleoperation imitation learning
10 UniPrototype: Humn-Robot Skill Learning with Uniform Prototypes UniPrototype:利用统一原型实现人-机器人技能学习 manipulation human-to-robot
11 Space Robotics Bench: Robot Learning Beyond Earth 提出Space Robotics Bench,用于太空机器人学习的开源仿真框架。 sim-to-real reinforcement learning
12 Distributed Multi-Robot Multi-Target Simultaneous Search and Tracking in an Unknown Non-convex Environment 提出一种分布式多机器人同步搜索与跟踪算法,解决未知非凸环境下的目标搜索与跟踪问题 motion planning

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

#题目一句话要点标签🔗
13 Leave No Observation Behind: Real-time Correction for VLA Action Chunks 提出A2C2实时修正VLA模型动作块,提升长时序任务的反应性和鲁棒性 vision-language-action VLA
14 Ask, Reason, Assist: Decentralized Robot Collaboration via Language and Logic 提出一种基于语言和逻辑的去中心化机器人协作框架,解决仓库等场景下的冲突问题。 large language model

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

#题目一句话要点标签🔗
15 Liaohe-CobotMagic-PnP: an Imitation Learning Dataset of Intelligent Robot for Industrial Applications Liaohe-CobotMagic-PnP:面向工业应用的智能机器人模仿学习数据集 imitation learning multimodal
16 GLUE: Global-Local Unified Encoding for Imitation Learning via Key-Patch Tracking 提出GLUE,通过关键区域跟踪实现模仿学习的全局-局部统一编码,提升复杂环境下的策略性能。 imitation learning representation learning

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

#题目一句话要点标签🔗
17 EKF-Based Fusion of Wi-Fi/LiDAR/IMU for Indoor Localization and Navigation 提出基于EKF的Wi-Fi/LiDAR/IMU融合室内定位导航框架,提升定位精度和鲁棒性。 occupancy grid

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