cs.RO（2025-09-21）

📊 共 14 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (7 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (5) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 SwarmChat: An LLM-Based, Context-Aware Multimodal Interaction System for Robotic Swarms SwarmChat：基于LLM的上下文感知多模态机器人集群交互系统 teleoperation HSI large language model
2 RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulated Environments RoboManipBaselines：用于机器人操作模仿学习的统一框架 manipulation imitation learning multimodal
3 FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks FILIC：基于双环力引导模仿学习与阻抗力矩控制的接触式操作 manipulation in-hand manipulation imitation learning ✅
4 Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation Imagine2Act：利用想象目标中的对象-动作一致性进行机器人操作 manipulation policy learning imitation learning
5 History-Aware Visuomotor Policy Learning via Point Tracking 提出基于点追踪的历史感知视觉运动策略学习方法，解决重复状态和长时依赖问题 manipulation policy learning
6 Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles 提出基于神经网络和ANFIS的自适应MPC，用于自动驾驶车辆路径跟踪 MPC ✅
7 Learning and Optimization with 3D Orientations 针对3D姿态表示学习与优化，提出统一框架与基准测试 trajectory optimization reinforcement learning

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗⭐
8 Benchmarking Offline Reinforcement Learning for Emotion-Adaptive Social Robotics 提出基于离线强化学习的情感自适应社交机器人基准测试框架 reinforcement learning offline RL offline reinforcement learning
9 Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning 提出基于VLM多智能体协作框架OGR，用于自动驾驶策略的自动化学习。 reinforcement learning policy learning foundation model
10 HOGraspFlow: Exploring Vision-based Generative Grasp Synthesis with Hand-Object Priors and Taxonomy Awareness 提出HOGraspFlow，利用手-物先验和分类感知实现基于视觉的生成式抓取合成 flow matching affordance HOI
11 Scalable Multi Agent Diffusion Policies for Coverage Control 提出MADP：一种可扩展的多智能体扩散策略，用于覆盖控制。 imitation learning diffusion policy
12 Ratatouille: Imitation Learning Ingredients for Real-world Social Robot Navigation Ratatouille：通过模仿学习提升真实场景社交机器人导航性能 reinforcement learning imitation learning

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

#题目一句话要点标签🔗⭐
13 IDfRA: Self-Verification for Iterative Design in Robotic Assembly IDfRA：面向机器人装配的迭代设计与自验证框架 large language model

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
14 Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments 提出MASTAVN框架，通过多智能体协作提升3D环境下的音视频导航性能 spatiotemporal

⬅️ 返回 cs.RO 首页 · 🏠 返回主页