Current robots are either expensive or make significant compromises on
sensory richness, computational power, and communication capabilities. We
propose to leverage smartphones to equip robots with extensive sensor suites,
powerful computational abilities, state-of-the-art communication channels, and
access to a thriving software ecosystem. We design a small electric vehicle
that costs $50 and serves as a robot body for standard Android smartphones. We
develop a software stack that allows smartphones to use this body for mobile
operation and demonstrate that the system is sufficiently powerful to support
advanced robotics workloads such as person following and real-time autonomous
navigation in unstructured environments. Controlled experiments demonstrate
that the presented approach is robust across different smartphones and robot
bodies. A video of our work is available at
this https URL

在本文中，我们提出了一种利用智能手机作为机器人本体，实现丰富传感器套件，强大的计算能力，先进通信渠道，并可以访问到蓬勃发展的软件生态的系统。我们开发了一个软件堆栈，允许智能手机用于移动操作，并证明该系统足够强大，支持高级机器人工作负载，例如在非结构化环境中的人体跟随和实时自主导航，并得到了控制实验的支持，表明所提出的方法在不同的智能手机和机器人平台上都是稳健的。

开放机器人技术：将智能手机变成机器人

OpenBot: Turning Smartphones into Robots

Skillful mobile operation in three-dimensional environments is a primary
topic of study in Artificial Intelligence. The past two years have seen a surge
of creative work on navigation. This creative output has produced a plethora of
sometimes incompatible task definitions and evaluation protocols. To coordinate
ongoing and future research in this area, we have convened a working group to
study empirical methodology in navigation research. The present document
summarizes the consensus recommendations of this working group. We discuss
different problem statements and the role of generalization, present evaluation
measures, and provide standard scenarios that can be used for benchmarking.

人工智能中探讨在三维环境下的熟练的移动操作是一个主要研究主题，为了协调指南与评估协议，本文介绍了实证方法的不同问题声明及概述，介绍了评估措施和提供了可用于基准测试的标准情境。