cs.RO（2025-02-13）

📊 共 13 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2) 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) (9 篇)

#题目一句话要点标签🔗⭐
1 DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References DexTrack：基于人类参考的通用灵巧操作神经跟踪控制 manipulation dexterous manipulation trajectory optimization ✅
2 Variable Stiffness for Robust Locomotion through Reinforcement Learning 提出基于强化学习的可变刚度控制，提升机器人鲁棒运动性能 legged robot locomotion sim-to-real
3 S$^2$-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation 提出S$^2$-Diffusion，实现机器人操作技能从实例级到类别级的泛化 manipulation diffusion policy depth estimation
4 GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation 提出GEVRM，通过目标视频生成和原型对比学习，增强机器人视觉操作的鲁棒性。 manipulation contrastive learning vision-language-action
5 MTDP: A Modulated Transformer based Diffusion Policy Model 提出调制Transformer扩散策略模型MTDP，提升机器人操作任务成功率。 manipulation behavior cloning diffusion policy
6 Safety Evaluation of Human Arm Operations Using IMU Sensors with a Spring-Damper-Mass Predictive Model 提出基于腕部IMU与弹簧-阻尼-质量预测模型的协作机器人安全评估方法 manipulation predictive model
7 Real-Time Fast Marching Tree for Mobile Robot Motion Planning in Dynamic Environments 提出RT-FMT算法，用于动态环境中移动机器人的实时运动规划 motion planning
8 A Machine Learning Approach to Sensor Substitution from Tactile Sensing to Visual Perception for Non-Prehensile Manipulation 提出一种基于机器学习的传感器替代方法，用于非抓取操作中的触觉到视觉感知转换。 manipulation
9 LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation 提出基于LLM的AR遥操作系统，实现语音控制的机器人控制 teleoperation

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

#题目一句话要点标签🔗⭐
10 OpenBench: A New Benchmark and Baseline for Semantic Navigation in Smart Logistics 提出OpenBench基准与OPEN系统，用于智能物流中基于语义的室外导航。 large language model foundation model
11 Vote-Tree-Planner: Optimizing Execution Order in LLM-based Task Planning Pipeline via Voting 提出Vote-Tree-Planner，通过投票优化LLM任务规划中的执行顺序，提升效率和成功率 large language model

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

#题目一句话要点标签🔗⭐
12 Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning 利用生物启发超维占据栅格地图，提升强化学习在探索和路径规划中的泛化性。 reinforcement learning occupancy grid

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

#题目一句话要点标签🔗⭐
13 3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning 提出3D感知视觉-语言框架，用于机器人任务规划，实现自动提示合成和监督推理。 scene understanding large language model multimodal

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