Foundation Models in Robotics: Applications, Challenges, and the Future [Paper][Code] 该文是Standford, Princeton, UT Austin(得克萨斯大学奥斯汀分校), Nvidia, Scaled Foundations, Google DeepMind, TU Berlin(柏林工业大学), 上海交大等学校的研究机构研究者们的协作的综述性质的文章,介绍了目前Foundation Mode...
基于基础模型的机器人感知任务(Perception Tasks in Robotics Enhanced by Foundation Models):这部分研究了各种可以通过使用基础模型进行增强的机器人感知任务,包括语义分割、3D场景表示、零样本3D分类、可操作性预测和动态预测。 具身AI代理、通用AI代理以及相关模拟器和基准(Embodied AI Agents, Generalist AI Agents, a...
笔者个人按照论文中的分类,总结出的主要工作的思维导图: 2. Foundation Models in Robotics: Applications, Challenges, and the Future Stanford/Princeton/UT Austin/NVIDIA/Scaled Foundations/Google DeepMind/TU Berlin/上交 的合作工作 提及的论文整理:GitHub - robotics-survey/Awesome-Robotics-Foundation-Models发布...
Awesome-Robotics-Foundation-ModelsThis is the partner repository for the survey paper "Foundation Models in Robotics: Applications, Challenges, and the Future". The authors hope this repository can act as a quick reference for roboticists who wish to read the relevant papers and implement the asso...
2. Vision Language Models for RL-Based Decision Making Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? [paper] Code as Reward: Empowering Reinforcement Learning with VLMs [paper] Foundation Models in Robotics: Applications, Challenges, and the Future [paper] Language...
FMs have the potential to unlock new possibilities in the robotics domain. Among FMs, a subclass of pre-trained models can be utilized to improve various tasks such as perception, prediction, planning, and control: Large language models (LLMs):These models would enable robots to understand natur...
the emergence of agentic AI — which can reason how to solve a problem, plan and take action. Huang believes the era next to the Agentic AI is Physical AI and robotics. Calling robots the next $10 trillion industry, Huang expected the world is going to be at least 50 millioin workers...
Although there are significant differences between text data (which is available in large quantities) and robot data (which is hard to get and varies per robot), it looks like a new era of large robotics foundation models is dawning. Several other large players have been developing multimodal ...
Large language models, commonly known as LLMs, are showing promise in tacking some of the most complex tasks in AI. In this perspective, we review the wider field of foundation models—of which LLMs are a component—and their application to the field of
视觉基础模型(Vision foundation models): 基础模型指的是在大规模数据上预训练,并可适用于各类下游任务的强大模型。早期的视觉基础模型工作通常使用带标签的大规模数据集,例如 ImageNet, JFT 等,对 CNN 或 Transformer 结构的模型进行有监督训练。最近一些工作也尝试用对比学习(contrastive learning)或者连体学习(siame...