cs.RO(2024-06-26)

📊 共 6 篇论文 | 🔗 3 篇有代码

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支柱一:机器人控制 (Robot Control) (3 🔗2) 支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1)

🔬 支柱一:机器人控制 (Robot Control) (3 篇)

#题目一句话要点标签🔗
1 Open-vocabulary Mobile Manipulation in Unseen Dynamic Environments with 3D Semantic Maps 提出一种基于3D语义地图的开放词汇移动操作框架,用于解决未知动态环境下的操作任务。 manipulation mobile manipulation semantic map
2 3D-MVP: 3D Multiview Pretraining for Robotic Manipulation 提出3D-MVP,利用3D多视角预训练提升机器人操作的泛化性 manipulation masked autoencoder MAE
3 Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models LRLL:基于LLM的终身机器人技能库学习,提升具身控制能力 manipulation large language model

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

#题目一句话要点标签🔗
4 LLCoach: Generating Robot Soccer Plans using Multi-Role Large Language Models LLCoach:利用多角色大型语言模型生成机器人足球比赛策略 large language model
5 Multimodal Reaching-Position Prediction for ADL Support Using Neural Networks 提出基于多模态神经网络的上肢抬起动作意图预测方法,用于日常生活辅助机器人。 multimodal
6 Towards Open-World Grasping with Large Vision-Language Models 提出OWG,利用视觉-语言模型实现开放世界中基于语言指令的机器人抓取 large language model visual grounding

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