cs.RO（2024-04-15）
📊 共 12 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱一：机器人控制 (Robot Control) (6)
支柱二：RL算法与架构 (RL & Architecture) (3 🔗2)
支柱七：动作重定向 (Motion Retargeting) (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) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | EgoPet: Egomotion and Interaction Data from an Animal's Perspective | 提出EgoPet数据集以解决动物视角下的运动与交互问题 | quadruped locomotion egocentric | ||
| 2 | GuLu XuanYuan , a biomimetic Transformer that intergrates humanoid MIP, reptile UGV, and bird UAV | 提出GuLu XuanYuan以整合多种移动机器人功能 | humanoid | ||
| 3 | An Origami-Inspired Variable Friction Surface for Increasing the Dexterity of Robotic Grippers | 提出一种受折纸启发的可变摩擦表面以提升机器人抓取灵活性 | manipulation in-hand manipulation | ||
| 4 | Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications | 提出基于流的反应性测试合成方法以解决复杂决策系统测试问题 | quadruped | ||
| 5 | Malleable Robots: Reconfigurable Robotic Arms with Continuum Links of Variable Stiffness | 提出可变刚度的可重构机器人臂以解决灵活性与适应性问题 | motion planning | ||
| 6 | GeoSACS: Geometric Shared Autonomy via Canal Surfaces | 提出GeoSACS以解决共享自主性中的人机输入映射问题 | manipulation |
🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Object Instance Retrieval in Assistive Robotics: Leveraging Fine-Tuned SimSiam with Multi-View Images Based on 3D Semantic Map | 提出SimView以解决助理机器人中的实例检索问题 | contrastive learning semantic map multimodal | ✅ | |
| 8 | Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning | 提出Few-shot Cross-quality Instance-aware Adaptation以解决图像目标导航中的领域差距问题 | contrastive learning | ✅ | |
| 9 | Characterization and Mitigation of Insufficiencies in Automated Driving Systems | 提出Daruma架构以解决自动驾驶系统功能不足问题 | world model world models |
🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | Dynamic Ego-Velocity estimation Using Moving mmWave Radar: A Phase-Based Approach | 提出mmPhase以解决移动平台的自我运动估计问题 | motion estimation |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction | 通过视觉语言模型提升机器人解释能力以改善人机交互 | large language model |
🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 12 | A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs | 提出基于概率的漂移修正模块以解决视觉惯性SLAM中的漂移问题 | VIO |