cs.RO（2025-07-10）

📊 共 13 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (5 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (4 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱三：空间感知与语义 (Perception & Semantics) (2)

🔬 支柱一：机器人控制 (Robot Control) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots	UniTracker：面向人形机器人的通用全身运动跟踪器学习框架	humanoid humanoid robot Unitree
2	Beyond Robustness: Learning Unknown Dynamic Load Adaptation for Quadruped Locomotion on Rough Terrain	提出基于强化学习的未知动态负载自适应方法，提升四足机器人崎岖地形运动能力	quadruped locomotion sim-to-real	✅
3	Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms	提出一种面向自动驾驶运动规划的实时安全保障概念，增加时间安全防护。	motion planning	✅
4	UniTac: Whole-Robot Touch Sensing Without Tactile Sensors	UniTac：无需触觉传感器，仅用关节信息实现机器人全身触觉感知	quadruped
5	Adaptive Gaussian Mixture Models-based Anomaly Detection for under-constrained Cable-Driven Parallel Robots	提出基于自适应高斯混合模型的异常检测方法以解决电缆驱动并联机器人安全性问题	manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#	题目	一句话要点	标签	🔗	⭐
6	AirScape: An Aerial Generative World Model with Motion Controllability	AirScape：提出一种运动可控的空中生成世界模型，用于无人机三维空间预测。	world model first-person view foundation model	✅
7	Imitation Learning for Obstacle Avoidance Using End-to-End CNN-Based Sensor Fusion	提出基于CNN端到端传感器融合的模仿学习方法，用于移动机器人避障导航。	imitation learning
8	Perceptual Distortions and Autonomous Representation Learning in a Minimal Robotic System	研究感知扭曲对自主表征学习的影响，应用于最小机器人系统。	representation learning
9	PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments	提出PILOC框架，利用信息素逆向引导和局部通信解决未知环境多智能体动态目标搜索问题	reinforcement learning deep reinforcement learning DRL

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

#	题目	一句话要点	标签	🔗	⭐
10	Where is the Boundary: Multimodal Sensor Fusion Test Bench for Tissue Boundary Delineation	提出用于组织边界划分的多模态传感器融合测试平台，提升手术精准度	multimodal
11	On the capabilities of LLMs for classifying and segmenting time series of fruit picking motions into primitive actions	利用大型语言模型对水果采摘动作时序数据进行基元动作分类与分割	large language model

🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
12	IRAF-SLAM: An Illumination-Robust and Adaptive Feature-Culling Front-End for Visual SLAM in Challenging Environments	IRAF-SLAM：一种光照鲁棒的自适应特征剔除前端，用于复杂环境下的视觉SLAM	visual SLAM
13	SCREP: Scene Coordinate Regression and Evidential Learning-based Perception-Aware Trajectory Generation	提出基于场景坐标回归和证据学习的感知自主轨迹生成方法	VIO

⬅️ 返回 cs.RO 首页 · 🏠 返回主页