Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory ReplanningLanguage-driven object detectionPose estimationGraspingTrajectory optimizationCombining a vision module inside a closed-loop control system for a \\emph{seamless movement} of a robot in a manipulation task is challenging due to...
电机模型预测控制(Model Predictive Control,简称MPC)是一种基于模型的先进控制算法,适用于电机矢量控制。与传统的比例积分控制(PI控制)相比,MPC算法能够更好地优化控制性能和动态响应。 下面是电机模型预测控制算法的基本步骤: 建立电机模型:首先,需要建立电机的动态数学模型。一般情况下,可以使用电机的状态空间方程或差...
Building on this, we propose using generative large language models to create text inputs for the predictive model without relying on exact atomic positions. This demonstrates a potential use case of language models in energy prediction without detailed geometric information. This is a preview of ...
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data— hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a ...
5to train a large language model for medical language (NYUTron) and subsequently fine-tune it across a wide range of clinical and operational predictive tasks. We evaluated our approach within our health system for five such tasks: 30-day all-cause readmission prediction, in-hospital mortality ...
technical analysis and human analysis, each utilizing a Large Language Model (LLM) to analyze the stock related information from a specific perspective. By integrating insights from these experts, the PloutosGPT can leverage a broad spectrum of knowledge and techniques to inform its predictive capabili...
自适应模型预测控制(Adaptive Model Predictive Control, AMPC)是一种结合模型预测控制和自适应控制的技术,用于实现对动态系统的高级控制。AMPC算法通过建立系统模型、预测系统行为并根据预测结果进行控制,同时结合自适应控制策略调整控制器参数,以适应系统变化和未知参数的情况。
这里的1是Compression For AGI中主要讲的里面主要讲的;2主要是体现在跨模态的数据无损压缩上,Lanuage Model可以在使用text文本进行训练下,在语音/图片场景下同样实现同样较高的压缩;3.是综合考虑了语言模型参数大小和数据集大小后,针对scaling law中数据量和模型大小同比例增长提出了限制,但这个其实值得考虑商榷;4.是...
It's clear that we need to control algorithms that may affect us. Such control is in our civic rights. Here we propose three requirements that any predictive model should fulfill. Prediction's justifications. For every prediction of a model one should be able to understand which variables affec...
Model Predictive Control Toolbox™is a tool that provides functions, an app, and Simulink® blocks for designing and simulating controllers using linear and nonlinear model predictive control (MPC). The toolbox lets you specify plant and disturbance models, horizons, constraints, and weights. By...