cs.RO（2025-10-15）

📊 共 14 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (12 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (12 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning	提出基于乐观强化学习的技能插入方法，解决任务和运动规划中概率动作的挑战。	manipulation motion planning reinforcement learning
2	Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations	提出基于强化学习的四足机器人控制方法，提升其在垂直地面扰动下的运动能力	quadruped legged robot locomotion
3	Development of an Intuitive GUI for Non-Expert Teleoperation of Humanoid Robots	为人形机器人非专家遥操作设计直观图形用户界面	humanoid humanoid robot teleoperation
4	LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models	LIBERO-Plus：对视觉-语言-动作模型进行深度鲁棒性分析	manipulation vision-language-action VLA
5	ALOHA2 Robot Kitchen Application Scenario Reproduction Report	ALOHA2：一种高性能、高鲁棒性且更符合人体工程学的双臂遥操作机器人	dual-arm teleoperation Aloha
6	A Modular Object Detection System for Humanoid Robots Using YOLO	针对人型机器人，提出基于YOLOv9的模块化目标检测系统，提升计算效率和鲁棒性	humanoid humanoid robot
7	Tactile-Conditioned Diffusion Policy for Force-Aware Robotic Manipulation	提出FARM框架，利用触觉信息和力控制实现力感知的机器人操作	manipulation imitation learning diffusion policy
8	RoboHiMan: A Hierarchical Evaluation Paradigm for Compositional Generalization in Long-Horizon Manipulation	提出RoboHiMan，用于评估长时程操作中组合泛化的分层评估范式。	manipulation VLA	✅
9	Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control	提出离线到在线的对抗微调方法，提升机器人控制对扰动的鲁棒性	locomotion reinforcement learning offline reinforcement learning
10	ViTacGen: Robotic Pushing with Vision-to-Touch Generation	ViTacGen：基于视觉到触觉生成的机器人推物操作框架	manipulation reinforcement learning contrastive learning
11	Active Tactile Exploration for Rigid Body Pose and Shape Estimation	提出基于主动触觉探索的刚体位姿与形状估计方法	manipulation	✅
12	Hoecken-D Hand: A Novel Robotic Hand for Linear Parallel Pinching and Self-Adaptive Grasping	提出Hoecken-D手爪，实现线性平行夹持和自适应抓取的机器人手	manipulation

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

#	题目	一句话要点	标签	🔗	⭐
13	InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy	InternVLA-M1：面向通用机器人策略的空间引导视觉-语言-动作框架	vision-language-action instruction following	✅

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

#	题目	一句话要点	标签	🔗	⭐
14	A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking	提出DRIP以解决受限空间停车规划问题	reinforcement learning

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