cs.RO(2026-02-22)

📊 共 12 篇论文 | 🔗 2 篇有代码

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支柱一:机器人控制 (Robot Control) (9 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱九:具身大模型 (Embodied Foundation Models) (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 The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption 神经符号方法在长时程操作任务中优于VLA,且能耗显著降低 manipulation vision-language-action VLA
2 WildOS: Open-Vocabulary Object Search in the Wild 提出WildOS以解决复杂户外环境中的开放词汇物体搜索问题 legged robot open-vocabulary open vocabulary
3 Human-to-Robot Interaction: Learning from Video Demonstration for Robot Imitation 提出一种模块化人机交互模仿学习框架,从视频演示中学习机器人操作技能。 manipulation reinforcement learning deep reinforcement learning
4 Design and Control of Modular Magnetic Millirobots for Multimodal Locomotion and Shape Reconfiguration 设计模块化磁性微型机器人,实现多模态运动和形状重构 locomotion manipulation multimodal
5 Vid2Sid: Videos Can Help Close the Sim2Real Gap Vid2Sid:利用视频弥合Sim2Real差距,实现物理参数自动标定与可解释性推理。 sim2real foundation model
6 Visual Prompt Guided Unified Pushing Policy 提出视觉提示引导的统一推物策略,提升机器人操作的泛化性和效率 manipulation flow matching multimodal
7 Design, Locomotion, and Control of Amphibious Robots: Recent Advances 综述两栖机器人设计、运动与控制的最新进展,助力环境监测与灾害应对。 locomotion
8 Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization 提出值引导的多路径反射方法,优化VLM在复杂机器人操作任务中的策略。 manipulation
9 3D Shape Control of Extensible Multi-Section Soft Continuum Robots via Visual Servoing 提出基于视觉伺服的可伸缩多节软体连续机器人的3D形状控制方法。 manipulation

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

#题目一句话要点标签🔗
10 TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics TOPReward:利用Token概率作为机器人零样本奖励,提升强化学习效率 reinforcement learning behavior cloning vision-language-action

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

#题目一句话要点标签🔗
11 Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation 提出CaPE:一种安全可解释的多模态路径规划方法,用于多智能体协作 multimodal

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

#题目一句话要点标签🔗
12 Distributed and Consistent Multi-Robot Visual-Inertial-Ranging Odometry on Lie Groups 提出一种分布式一致性多机器人视觉-惯性-测距里程计,解决GPS拒止环境下的定位问题。 VIO motion estimation

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