cs.RO(2024-02-06)

📊 共 10 篇论文

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (5) 支柱九:具身大模型 (Embodied Foundation Models) (3) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback 提出RL-VLM-F以解决强化学习中的奖励函数设计问题 manipulation reinforcement learning foundation model
2 Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding 提出深度碰撞编码的强化学习方法以实现无碰撞飞行 sim2real reinforcement learning deep reinforcement learning
3 Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments 提出人机引导的群体控制机制以解决复杂场景下的自主性问题 manipulation HSI
4 SKOOTR: A SKating, Omni-Oriented, Tripedal Robot 提出SKOOTR以解决三足机器人转向能力不足的问题 locomotion
5 Environment-Centric Learning Approach for Gait Synthesis in Terrestrial Soft Robots 提出环境中心学习方法以合成陆地软机器人步态 locomotion

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

#题目一句话要点标签🔗
6 Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models 提出基于大语言模型的解释生成系统以增强人机交互 large language model
7 Hierarchical Large Language Models in Cloud Edge End Architecture for Heterogeneous Robot Cluster Control 提出云边端层次结构以解决异构机器人集群控制问题 large language model
8 Automatic Robotic Development through Collaborative Framework by Large Language Models 提出基于大语言模型的自动化机器人开发协作框架 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🔗
9 An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots 提出一种架构以解决无人值守强化学习训练中的仿真软件知识障碍 reinforcement learning

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
10 Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory 提出隐式对象记忆以增强机器人中的物体检测能力 semantic mapping semantic map

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