cs.RO(2024-09-09)
📊 共 10 篇论文 | 🔗 3 篇有代码
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (5 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (2 🔗1)
支柱三:空间感知与语义 (Perception & Semantics) (2 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (1)
🔬 支柱一:机器人控制 (Robot Control) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning | 提出可解释的责任分担启发式算法,提升家务机器人任务与运动规划效率 | motion planning task and motion planning TAMP | ✅ | |
| 2 | DexDiff: Towards Extrinsic Dexterity Manipulation of Ungraspable Objects in Unrestricted Environments | DexDiff:面向非结构化环境下的不可抓取物体外在灵巧操作 | manipulation | ||
| 3 | Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments | 提出机器人通用模型(RUMs),实现零样本泛化至新环境的机器人策略 | manipulation mobile manipulation imitation learning | ||
| 4 | Neural MP: A Generalist Neural Motion Planner | Neural MP:一种通用神经运动规划器,通过模仿学习提升规划效率和泛化性 | motion planning | ||
| 5 | Path-Parameterised RRTs for Underactuated Systems | 提出基于路径参数化的RRT算法,解决欠驱动系统运动规划问题 | motion planning |
🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning | GOPT:基于Transformer的深度强化学习实现通用在线3D装箱 | reinforcement learning deep reinforcement learning DRL | ✅ | |
| 7 | Learning control of underactuated double pendulum with Model-Based Reinforcement Learning | 提出基于模型的强化学习算法MC-PILCO,用于解决欠驱动双摆的控制问题 | reinforcement learning |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Leveraging Computation of Expectation Models for Commonsense Affordance Estimation on 3D Scene Graphs | 提出基于期望计算模型的3D场景图常识可供性估计方法 | affordance | ||
| 9 | Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems | 提出统一框架以解决LiDAR-视觉系统的表面重建与渲染问题 | NeRF neural radiance field | ✅ |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | StratXplore: Strategic Novelty-seeking and Instruction-aligned Exploration for Vision and Language Navigation | StratXplore:面向视觉语言导航的策略性新颖性探索与指令对齐 | VLN |