cs.RO（2024-10-28）

📊 共 11 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (6) 支柱九：具身大模型 (Embodied Foundation Models) (3) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱一：机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗⭐
1 HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots HOVER：用于人形机器人的通用神经全身控制器 humanoid humanoid robot humanoid control
2 Predictive Reachability for Embodiment Selection in Mobile Manipulation Behaviors 提出基于预测可达性的移动操作机器人embodiment选择方法 manipulation mobile manipulation world model
3 Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies 提出基于强化学习的无参考公式漂移策略，实现真实车辆的轮胎能量优化控制 trajectory optimization reinforcement learning
4 Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation 研究非线性动作映射在数据驱动遥操作中的优势，发现其性能提升有限 teleoperation
5 VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions VLMimic：利用视觉语言模型进行细粒度动作的视觉模仿学习 manipulation imitation learning
6 Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators 提出状态条件线性映射，用于机器人操作臂的低维控制 manipulation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗⭐
7 LiP-LLM: Integrating Linear Programming and dependency graph with Large Language Models for multi-robot task planning LiP-LLM：融合线性规划与依赖图的大语言模型多机器人任务规划方法 large language model
8 Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation 提出基于多专家共识的零样本目标导航方法，提升机器人环境推理能力 foundation model
9 Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments Guide-LLM：基于具身LLM和文本拓扑地图的视障人士机器人引导系统 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
10 One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation 提出OneDP，通过扩散蒸馏加速视觉运动策略，实现机器人实时控制。 behavior cloning diffusion policy distillation

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
11 Narrow Passage Path Planning using Collision Constraint Interpolation 提出基于碰撞约束插值的狭窄通道路径规划方法，提升复杂环境下的寻路效率。 penetration

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