cs.RO(2025-09-01)

📊 共 17 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (9) 支柱九:具身大模型 (Embodied Foundation Models) (4) 支柱三:空间感知与语义 (Perception & Semantics) (2 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱一:机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗
1 Model Predictive Control for a Soft Robotic Finger with Stochastic Behavior based on Fokker-Planck Equation 提出基于Fokker-Planck方程的模型预测控制以解决软机器人不确定性问题 MPC model predictive control
2 Hierarchical Reactive Grasping via Task-Space Velocity Fields and Joint-Space Quadratic Programming 提出层次化反应抓取框架以解决高自由度系统的实时规划问题 motion planning
3 TARA: A Low-Cost 3D-Printed Robotic Arm for Accessible Robotics Education 提出TARA以解决高成本机器人教育问题 manipulation
4 MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation MoTo:一种零样本即插即用的交互感知导航方法,用于通用移动操作 manipulation mobile manipulation trajectory optimization
5 Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control 提出一种无超参数的强化学习能量优化方法,用于机器人控制 quadruped humanoid locomotion
6 ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training ManiFlow:基于一致性流训练的通用机器人操作策略 humanoid humanoid robot manipulation
7 Articulated Object Estimation in the Wild ArtiPoint:提出一种在动态场景下估计铰接物体模型的框架。 manipulation mobile manipulation motion planning
8 Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning 提出解耦多上下文元学习框架,提升任务泛化性和鲁棒性 quadruped locomotion sim-to-real
9 Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference Fail2Progress:利用Stein变分推断从机器人真实失败中学习 manipulation mobile manipulation

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
10 Constrained Decoding for Robotics Foundation Models SafeDec:针对机器人基础模型的约束解码框架,保障动作安全 foundation model multimodal
11 Metamorphic Testing of Multimodal Human Trajectory Prediction 提出一种基于变质测试的多模态人类轨迹预测模型评估框架 multimodal
12 Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks Plantbot:通过LLM模块化代理网络集成植物与机器人,实现自主环境响应。 large language model multimodal
13 TopoNav: Topological Graphs as a Key Enabler for Advanced Object Navigation TopoNav:利用拓扑图增强ObjectNav任务中的长时记忆与推理 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🔗
14 OpenMulti: Open-Vocabulary Instance-Level Multi-Agent Distributed Implicit Mapping OpenMulti:开放词汇的多智能体分布式隐式地图构建,实现实例级理解 open-vocabulary open vocabulary
15 FGO-SLAM: Enhancing Gaussian SLAM with Globally Consistent Opacity Radiance Field FGO-SLAM:利用全局一致的不透明度辐射场增强高斯SLAM的几何重建性能 visual SLAM scene reconstruction embodied AI

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
16 A Hybrid Input based Deep Reinforcement Learning for Lane Change Decision-Making of Autonomous Vehicle 提出一种混合输入深度强化学习算法,用于提升自动驾驶车辆的变道决策安全性。 reinforcement learning deep reinforcement learning DRL
17 Data Retrieval with Importance Weights for Few-Shot Imitation Learning 提出重要性加权检索(IWR)方法,提升少样本模仿学习中数据检索的性能。 imitation learning

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