王鹏伟-智源具身智能核心：大小脑操作框架与具身大脑模型构建.pdf

1、ML-SummitML-Summitwww.cpp-www.ml-summit.orgwww.gosim.orgwww.pm-summit.orgML-SummitML-SummitML-SummitML-SummitML-SummitML-Summit王王鹏鹏伟伟 智智源源具具身身智智能能大大模模型型负负责责人人，R Ro ob bo oB Br ra ai in n与与R Ro ob bo oO OS S负负责责人人北京智源人工智能研究院具身智能大模型负责人、目前主要负责具身大脑大模型RoboBrain以及大小脑框架RoboOS，研究方向是具身智能、多模态大模型、深度学习、自然语言处理和机

2、器学习等方向，曾就职于阿里巴巴达摩院以及快手科技大模型中台部门，主要负责大规模语音语义一体化等多模态交互系统以及多模态预训练项目，具有丰富的多模态大模型、文本大模型以及机器智能等产学经验，在相关领域顶级会议上发表过数十篇会议论文。演演讲讲主主题题：智智源源具具身身智智能能核核心心：大大小小脑脑操操作作框框架架与与具具身身大大脑脑模模型型构构建建ML-SummitML-Summit具身智能跨本体框架RoboOS与具身大脑RoboBrain智源 具身智能大模型研究中心王鹏伟ML-SummitML-Summit人工智能趋势分析1950196019701980199020002023202420252

3、006AI 1.0（Small Models）PerceptronExpert SystemBP AlgorithmXCON&MYCIN Expert Systems Become Commercially AvailableExpert SystemPC（Cost/Application Scope）ChatGPTGPT-3TransformerCommercial FactorsTechinical FactorsAI 2.0（Large Models）AI 1.0 Commercialization bottlenecksAI诞生First WaveSecond WaveThird Wa

4、veGPT-4GPT-4VGeminiSoraGPT-4oRT-2Dartmouth ConferenceEmbodied AI as the Next GPT Moment in AISORA（2024）ChatGPT（2023）AlexNet（2012）DNN（2006）Embodied AI will become the core driving force of AI technology development over the next decade,leading to new revolutionary products and reshaping industry land

5、scapes.Figure from BAAIML-SummitML-Summit具身智能趋势分析Single TaskSingle Ontology,Single ScenarioAI 1.0 ME 1.0Hand-Eye Coordination Robotic ArmLarge ModelBig DataRobot BrainAI 3.0+ME 3.0+General Intelligence SystemsMultiple Ontologies,Multiple ScenariosEnd-to-End Multimodal Large Model RoboticsIntelligent

6、 Robots Integrating Perception,Grasping,and Mobility2023 and Earlier2024Post-2025Multiple TasksSingle Ontology,Single ScenarioAI 2.0 ME 2.0Intelligent RobotsPerception&UnderstandingTask Decision-MakingExecution&Collaboration Evaluation&FeedbackScaling LawProven Accuracy in Large Language Models and