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arXiv 2011.10756cs.ROcs.SYeess.SY
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具身智能的协同设计:一种结构化方法

Co-Design of Embodied Intelligence: A Structured Approach

ETH Zürich(苏黎世联邦理工学院);Empa - Swiss Federal Laboratories for Materials Science and Technology(瑞士联邦材料科学与技术实验室)

Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli

摘要:

我们认为协同设计的问题,体现作为一个整体的具身智能在一个结构化的方式,从硬件组件,如推进系统和传感器的软件模块,如控制和感知管道。我们提出了一个原则性的方法来制定和解决复杂的具身智能协同设计问题,利用单调协同设计理论。我们提出的方法是直观的,集成异构工程学科,允许分析和基于模拟的建模技术,并实现跨学科。我们通过一个案例研究来说明,在给定一组所需行为的情况下,我们的框架能够为自动驾驶汽车的整个硬件和软件堆栈计算帕累托有效的解决方案。

英文摘要:

We consider the problem of co-designing embodied intelligence as a whole in a structured way, from hardware components such as propulsion systems and sensors to software modules such as control and perception pipelines. We propose a principled approach to formulate and solve complex embodied intelligence co-design problems, leveraging a monotone co-design theory. The methods we propose are intuitive and integrate heterogeneous engineering disciplines, allowing analytical and simulation-based modeling techniques and enabling interdisciplinarity. We illustrate through a case study how, given a set of desired behaviors, our framework is able to compute Pareto efficient solutions for the entire hardware and software stack of a self-driving vehicle.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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