cs.RO（2024-09-14）
📊 共 11 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
支柱一：机器人控制 (Robot Control) (6)
支柱三：空间感知与语义 (Perception & Semantics) (3)
支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1)
🔬 支柱一：机器人控制 (Robot Control) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | PIP-Loco: A Proprioceptive Infinite Horizon Planning Framework for Quadrupedal Robot Locomotion | PIP-Loco：融合规划与强化学习的四足机器人无限时域运动框架 | quadruped locomotion MPC | ||
| 2 | Behavior Tree Generation using Large Language Models for Sequential Manipulation Planning with Human Instructions and Feedback | 提出基于LLM的行为树生成框架，用于人机协作的序列操作规划 | manipulation large language model | ||
| 3 | Learning to enhance multi-legged robot on rugged landscapes | 提出基于强化学习的多足机器人控制框架，提升崎岖地形的运动性能。 | legged robot legged locomotion locomotion | ||
| 4 | TransformerMPC: Accelerating Model Predictive Control via Transformers | TransformerMPC：利用Transformer加速模型预测控制，提升机器人实时控制性能 | MPC model predictive control | ||
| 5 | Adaptable, shape-conforming robotic endoscope | 提出一种尺寸可调的形状自适应机器人内窥镜，旨在提高结肠镜检查的效率和舒适性。 | locomotion | ||
| 6 | Robot Learning as an Empirical Science: Best Practices for Policy Evaluation | 针对机器人学习策略评估，提出更严谨的实验规范与评价指标 | manipulation |
🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians | GEVO：基于高斯分布的内存高效单目视觉里程计，适用于移动设备。 | visual odometry gaussian splatting splatting | ||
| 8 | MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry | MAC-VO：利用度量感知协方差学习的立体视觉里程计，提升位姿估计鲁棒性。 | visual odometry | ||
| 9 | Panoramic Direct LiDAR-assisted Visual Odometry | 提出全景直接激光雷达辅助视觉里程计，提升大FOV场景下的位姿估计精度。 | visual odometry |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications | VernaCopter：提出基于形式化规约的自然语言驱动机器人运动规划方法 | large language model | ||
| 11 | PeriGuru: A Peripheral Robotic Mobile App Operation Assistant based on GUI Image Understanding and Prompting with LLM | PeriGuru：基于GUI图像理解和LLM提示的外设机器人移动应用操作助手 | large language model | ✅ |