cs.RO（2025-10-06）

📊 共 15 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9) 支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (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) (9 篇)

#	题目	一句话要点	标签	🔗	⭐
1	ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning	ResMimic：通过残差学习实现从通用运动跟踪到人形机器人全身Loco-Manipulation	humanoid humanoid control locomotion
2	Walking, Rolling, and Beyond: First-Principles and RL Locomotion on a TARS-Inspired Robot	基于第一性原理与强化学习，探索TARS机器人新型运动模式	bipedal biped locomotion
3	MobRT: A Digital Twin-Based Framework for Scalable Learning in Mobile Manipulation	MobRT：基于数字孪生的移动操作可扩展学习框架	locomotion manipulation mobile manipulation
4	Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly	提出一种分散式梯度能量函数，用于双臂机器人装配中的快速重规划。	bi-manual motion planning task and motion planning
5	A multi-modal tactile fingertip design for robotic hands to enhance dexterous manipulation	提出一种低成本多模态触觉指尖设计，增强机器人灵巧操作能力	manipulation dexterous manipulation
6	Everything-Grasping (EG) Gripper: A Universal Gripper with Synergistic Suction-Grasping Capabilities for Cross-Scale and Cross-State Manipulation	提出Everything-Grasping (EG) Gripper，实现跨尺度和跨状态物体的通用抓取	manipulation
7	PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization	提出PAD-TRO，通过投影增强扩散模型实现直接轨迹优化，解决动态可行性约束难题。	trajectory optimization
8	AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control	提出基于神经ODE的自适应动力学学习方法，用于移动机器人控制。	model predictive control
9	Velocity-Form Data-Enabled Predictive Control of Soft Robots under Unknown External Payloads	提出基于速度形式数据的软体机器人预测控制，解决未知载荷下的鲁棒控制问题	manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
10	DREAMer-VXS: A Latent World Model for Sample-Efficient AGV Exploration in Stochastic, Unobserved Environments	提出DREAMer-VXS以解决AGV在随机未知环境中的样本效率问题	reinforcement learning policy learning SAC
11	VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing	提出VER，通过专家蒸馏和动态路由实现机器人学习的视觉知识迁移。	distillation foundation model	✅
12	StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation	StaMo：基于紧凑状态表征无监督学习通用机器人运动	world model egocentric VLA

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

#	题目	一句话要点	标签	🔗	⭐
13	HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks	HyperVLA：通过超网络实现视觉-语言-动作模型的高效推理	vision-language-action VLA foundation model	✅
14	Active Semantic Perception	提出基于语义场景图的主动语义感知方法，用于高效探索复杂室内环境。	large language model

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

#	题目	一句话要点	标签	🔗	⭐
15	Efficient Navigation in Unknown Indoor Environments with Vision-Language Models	提出基于视觉-语言模型的高效导航框架，解决未知室内环境探索问题	occupancy grid

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