cs.RO（2024-12-24）

📊 共 7 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱三：空间感知与语义 (Perception & Semantics) (3 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱一：机器人控制 (Robot Control) (1) 支柱二：RL算法与架构 (RL & Architecture) (1 🔗1)

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration	提出MCoCoNav以解决多机器人语义导航效率低下问题	semantic map multimodal chain-of-thought	✅
2	MR-COGraphs: Communication-efficient Multi-Robot Open-vocabulary Mapping System via 3D Scene Graphs	提出MR-COGraphs，用于通信受限的多机器人开放词汇三维场景图构建。	scene understanding open-vocabulary open vocabulary	✅
3	StaR Maps: Unveiling Uncertainty in Geospatial Relations	提出StaR Maps以解决地理空间关系中不确定性建模与推理问题	semantic map

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
4	LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR	LMRPA：基于大语言模型的高效OCR机器人流程自动化	large language model
5	A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs	利用交互式、可信LLM实现丰富的机器人行为	large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
6	VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks	VLABench：一个用于长程推理语言条件机器人操作的大规模基准测试	manipulation spatial relationship vision-language-action

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

#	题目	一句话要点	标签	🔗	⭐
7	Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving	提出基于大语言模型引导的深度强化学习框架，提升自动驾驶决策效率与性能	reinforcement learning deep reinforcement learning DRL	✅

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