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

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