cs.RO（2024-04-10）
📊 共 12 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
支柱一：机器人控制 (Robot Control) (7)
支柱三：空间感知与语义 (Perception & Semantics) (2 🔗1)
支柱二：RL算法与架构 (RL & Architecture) (2)
支柱九：具身大模型 (Embodied Foundation Models) (1)
🔬 支柱一：机器人控制 (Robot Control) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Toward Holistic Planning and Control Optimization for Dual-Arm Rearrangement | 提出MODAP以优化双臂系统的任务与运动规划 | dual-arm trajectory optimization motion planning | ||
| 2 | Fast and Accurate Relative Motion Tracking for Dual Industrial Robots | 提出三步法优化双工业机器人相对运动跟踪 | motion tracking | ||
| 3 | Closed-Loop Model Identification and MPC-based Navigation of Quadcopters: A Case Study of Parrot Bebop 2 | 提出基于闭环模型识别与MPC的四旋翼导航方法 | MPC model predictive control | ||
| 4 | Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements | 提出通过机器人操作和测量数据库自动提取物体物理属性的方法 | manipulation | ||
| 5 | Sound Matters: Auditory Detectability of Mobile Robots | 研究移动机器人声音可听性以提升人机交互体验 | quadruped Unitree | ||
| 6 | Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles | 提出基于学习的建模方法以提升混合交通安全性 | MPC model predictive control | ||
| 7 | CBFKIT: A Control Barrier Function Toolbox for Robotics Applications | 提出CBFKIT工具箱以解决机器人控制中的安全规划问题 | motion planning |
🔬 支柱三：空间感知与语义 (Perception & Semantics) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion | 提出Gaussian-LIC以解决实时光照SLAM问题 | gaussian splatting splatting | ✅ | |
| 9 | Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision | 提出野外视觉导航系统以解决复杂环境中的导航问题 | traversability |
🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | Deep Reinforcement Learning for Mobile Robot Path Planning | 提出深度强化学习方法以解决移动机器人路径规划问题 | reinforcement learning deep reinforcement learning DRL | ||
| 11 | Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles | 提出可解释AI与人机界面结合以提升自动驾驶信任度 | predictive model scene understanding |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 12 | Vision-Language Model-based Physical Reasoning for Robot Liquid Perception | 提出基于视觉-语言模型的物理推理方法以解决机器人液体感知问题 | large language model multimodal |