cs.RO(2025-03-30)

📊 共 9 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (6) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱三:空间感知与语义 (Perception & Semantics) (1 🔗1)

🔬 支柱一:机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗
1 Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models 提出基于状态扩散和逆动力学模型的双臂协同操作策略学习方法 manipulation bi-manual bimanual manipulation
2 Localized Graph-Based Neural Dynamics Models for Terrain Manipulation 提出局部图神经网络动力学模型,用于地形操作任务 manipulation predictive model penetration
3 Physically Ground Commonsense Knowledge for Articulated Object Manipulation with Analytic Concepts 提出基于物理常识知识和解析概念的铰接物体操作方法 manipulation large language model
4 Exploring GPT-4 for Robotic Agent Strategy with Real-Time State Feedback and a Reactive Behaviour Framework 提出基于GPT-4和实时反馈的机器人策略框架,解决任务执行中的安全、过渡和时域问题 humanoid humanoid robot large language model
5 R900: Understanding the Cost-Effectiveness of Random Exploration from 900 Hours of Robotic Data Collection R900:基于900小时机器人数据的随机探索成本效益分析 manipulation imitation learning
6 VET: A Visual-Electronic Tactile System for Immersive Human-Machine Interaction VET:用于沉浸式人机交互的视觉-电子触觉系统 teleoperation

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

#题目一句话要点标签🔗
7 SparseLoc: Sparse Open-Set Landmark-based Global Localization for Autonomous Navigation SparseLoc:基于稀疏开放集地标的全局定位,用于自主导航 foundation model
8 MagicGel: A Novel Visual-Based Tactile Sensor Design with MagneticGel 提出一种基于磁性凝胶的新型视觉触觉传感器MagicGel,提升力估计能力。 multimodal

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

#题目一句话要点标签🔗
9 Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation 提出基于高效隐式神经地图的室内定位方法,提升定位精度。 occupancy grid

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