cs.RO(2026-02-23)

📊 共 11 篇论文

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支柱一:机器人控制 (Robot Control) (7) 支柱九:具身大模型 (Embodied Foundation Models) (3) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱一:机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗
1 Hilbert-Augmented Reinforcement Learning for Scalable Multi-Robot Coverage and Exploration 提出希尔伯特增强强化学习以解决多机器人覆盖与探索问题 legged robot reinforcement learning PPO
2 AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation AdaWorldPolicy:基于世界模型的自适应扩散策略,用于机器人操作 manipulation diffusion policy flow matching
3 CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization CACTO-BIC:基于偏置采样和GPU加速轨迹优化的可扩展Actor-Critic学习 quadruped trajectory optimization reinforcement learning
4 Towards Dexterous Embodied Manipulation via Deep Multi-Sensory Fusion and Sparse Expert Scaling DeMUSE:融合多模态信息与稀疏专家模型,实现灵巧的具身操作 manipulation multimodal
5 NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning NovaPlan:基于闭环视频语言规划的零样本长时程操作 manipulation
6 Scalable Low-Density Distributed Manipulation Using an Interconnected Actuator Array 提出基于互连执行器阵列的可扩展低密度分布式操作方法 manipulation
7 To Move or Not to Move: Constraint-based Planning Enables Zero-Shot Generalization for Interactive Navigation 提出基于约束规划的交互式导航框架,实现零样本泛化 manipulation

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
8 Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial 提出基于大语言模型的无人机操作与通信框架,提升无人机智能化和自适应能力 large language model multimodal chain-of-thought
9 Anticipate, Adapt, Act: A Hybrid Framework for Task Planning 提出一种混合框架,结合LLM和概率决策,提升机器人任务规划中的容错能力。 large language model
10 Botson: An Accessible and Low-Cost Platform for Social Robotics Research 提出Botson:一个低成本、易于使用的社交机器人研究平台 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
11 What Matters for Simulation to Online Reinforcement Learning on Real Robots 针对真实机器人在线强化学习,系统性研究了仿真到真实迁移的关键设计选择。 reinforcement learning

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