cs.RO(2025-05-04)

📊 共 10 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (7 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗
1 Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions 提出Interleave-VLA以解决机器人操作中的指令理解问题 manipulation vision-language-action VLA
2 KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation 提出KineDex以解决精细触觉信息缺失问题 manipulation dexterous hand dexterous manipulation
3 CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation 提出CrayonRobo以解决机器人操作中的多模态任务目标传达问题 manipulation vision-language-action
4 Dexterous Contact-Rich Manipulation via the Contact Trust Region 提出接触信任区域以解决接触丰富操控问题 manipulation in-hand manipulation bi-manual
5 Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning 提出记忆增强的师生学习框架以解决机器人目标检索问题 manipulation dexterous manipulation reinforcement learning
6 Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis 提出基于模型预测控制与深度学习的可扩展可达性分析方法 MPC model predictive control
7 Robust Localization, Mapping, and Navigation for Quadruped Robots 提出低成本传感器的四足机器人定位、地图构建与导航系统 quadruped reinforcement learning

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

#题目一句话要点标签🔗
8 DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving 提出DriveAgent框架以提升自主驾驶的决策与理解能力 large language model multimodal TAMP

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

#题目一句话要点标签🔗
9 A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites 提出基于目标导向强化学习的路径规划算法以解决模块化自重构卫星问题 reinforcement learning

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

#题目一句话要点标签🔗
10 SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment 提出LanBLoc-BMM以解决GPS受限环境中的导航问题 visual odometry

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