cs.RO(2025-12-11)

📊 共 16 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (11 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (3) 支柱九:具身大模型 (Embodied Foundation Models) (2)

🔬 支柱一:机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗
1 WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control 提出WholeBodyVLA以解决人形机器人大空间运动操控问题 humanoid humanoid robot locomotion
2 Towards Accessible Physical AI: LoRA-Based Fine-Tuning of VLA Models for Real-World Robot Control 提出基于LoRA微调的VLA模型,用于低成本机器人控制 manipulation vision-language-action VLA
3 Symphony: A Heuristic Normalized Calibrated Advantage Actor and Critic Algorithm in application for Humanoid Robots 提出Symphony算法,用于提升人形机器人从零开始学习的样本效率与安全性。 humanoid humanoid robot
4 Taxonomy and Modular Tool System for Versatile and Effective Non-Prehensile Manipulations 提出非抓取操作工具模块化系统,扩展通用夹爪末端执行器的操作能力 manipulation affordance
5 Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance 提出基于单实例RGB演示学习的类别级末端导航方法 quadruped manipulation mobile manipulation
6 ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning 提出ImplicitRDP,解决接触式操作中视觉与力觉信息融合难题 manipulation diffusion policy
7 Evaluating Gemini Robotics Policies in a Veo World Simulator 提出基于Veo视频模型的生成式评估系统,用于评估机器人策略在各种场景下的性能。 bi-manual world model foundation model
8 Motion Planning for Safe Landing of a Human-Piloted Parafoil 针对人控滑翔伞安全着陆,提出基于改进SST的运动规划算法。 motion planning
9 Contact SLAM: An Active Tactile Exploration Policy Based on Physical Reasoning Utilized in Robotic Fine Blind Manipulation Tasks 提出Contact SLAM,解决机器人盲操作中基于触觉的主动探索问题 manipulation
10 Iterative Compositional Data Generation for Robot Control 提出基于迭代组合数据生成的机器人控制方法,解决多任务泛化问题 manipulation reinforcement learning offline reinforcement learning
11 Design and Validation of an Under-actuated Robotic Finger with Synchronous Tendon Routing 提出基于同步腱索驱动的欠驱动机械手指,实现高负载、高柔顺性和紧凑结构 manipulation dexterous manipulation

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

#题目一句话要点标签🔗
12 How to Brake? Ethical Emergency Braking with Deep Reinforcement Learning 提出基于深度强化学习的伦理紧急制动策略,提升多车协同场景下的安全性 reinforcement learning deep reinforcement learning DRL
13 Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit 提出基于课程学习的强化学习方法以解决无人机在未知管道中的导航问题 reinforcement learning PPO curriculum learning
14 Task-Oriented Grasping Using Reinforcement Learning with a Contextual Reward Machine 提出基于上下文奖励机的强化学习方法,用于高效任务导向抓取 reinforcement learning affordance

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

#题目一句话要点标签🔗
15 RoboNeuron: A Modular Framework Linking Foundation Models and ROS for Embodied AI RoboNeuron:连接基础模型与ROS的模块化具身智能框架 embodied AI vision-language-action VLA
16 CLASH: Collaborative Large-Small Hierarchical Framework for Continuous Vision-and-Language Navigation CLASH:用于持续视觉-语言导航的协作式大小层级框架 VLN chain-of-thought

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