人在回路中 2050 年机器人世界杯的前景与挑战

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Alessandra Rossi, Maike Paetzel-Prüsmann, Merel Keijsers, Michael Anderson, Susan Leigh Anderson, Daniel Barry, Jan Gutsche, Justin Hart, Luca Iocchi, Ainse Kokkelmans, Wouter Kuijpers, Yun Liu, Daniel Polani, Caleb Roscon, Marcus Scheunemann, Peter Stone, Florian Vahl, René van de Molengraft, Oskar von Stryk
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引用次数: 0

摘要

机器人研究人员一直致力于开发能够在静态和动态环境中进行规划、导航、操纵物体以及与人类互动的自主式仿人智能机器人。然而,这些能力通常是为在受控环境中与人直接互动而开发的,并主要从人类安全的角度进行评估。因此,在没有技术人员干预的情况下进行的人机交互(HRI)还没有得到充分探索。然而,在未来,机器人将被部署在非结构化和无人监管的环境中,它们将在无人监管的情况下执行需要与人类直接互动的任务,而且不一定是协作性的。开发这类机器人需要比较类似设计方法和技术的有效性和效率。然而,有关结果的可重复性、不同研究小组间不同方法的比较,以及创建具有挑战性的里程碑来衡量性能和随时间推移的发展等问题,都给这项工作带来了困难。在此,我们将讨论名为 RoboCup 的国际机器人竞赛,将其作为人工智能和机器人发展的进步和公开挑战的基准。RoboCup 的长期目标是在 2050 年前开发出一支能战胜世界上最优秀的人类足球队的机器人足球队。我们之所以选择 RoboCup,是因为它要求机器人能够在非结构化环境(如不平整的场地和自然光条件)中与人类同场竞技或与人类对抗,而且它对已知的公认的人力资源集成动态提出了挑战。考虑到机器人技术的现状,RoboCup 的目标提出了几个有待机器人专家解决的开放性研究问题。在本文中,我们(a) 以 RoboCup 的发展作为评估指标,总结了当前机器人技术面临的挑战;(b) 讨论了应对这些挑战的最新方法,以及这些方法目前如何应用于 RoboCup;(c) 提出了未来在特定领域的发展路径,以实现 RoboCup 的目标,即到 2050 年让机器人与人类踢足球。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The human in the loop Perspectives and challenges for RoboCup 2050

The human in the loop Perspectives and challenges for RoboCup 2050

Robotics researchers have been focusing on developing autonomous and human-like intelligent robots that are able to plan, navigate, manipulate objects, and interact with humans in both static and dynamic environments. These capabilities, however, are usually developed for direct interactions with people in controlled environments, and evaluated primarily in terms of human safety. Consequently, human-robot interaction (HRI) in scenarios with no intervention of technical personnel is under-explored. However, in the future, robots will be deployed in unstructured and unsupervised environments where they will be expected to work unsupervised on tasks which require direct interaction with humans and may not necessarily be collaborative. Developing such robots requires comparing the effectiveness and efficiency of similar design approaches and techniques. Yet, issues regarding the reproducibility of results, comparing different approaches between research groups, and creating challenging milestones to measure performance and development over time make this difficult. Here we discuss the international robotics competition called RoboCup as a benchmark for the progress and open challenges in AI and robotics development. The long term goal of RoboCup is developing a robot soccer team that can win against the world’s best human soccer team by 2050. We selected RoboCup because it requires robots to be able to play with and against humans in unstructured environments, such as uneven fields and natural lighting conditions, and it challenges the known accepted dynamics in HRI. Considering the current state of robotics technology, RoboCup’s goal opens up several open research questions to be addressed by roboticists. In this paper, we (a) summarise the current challenges in robotics by using RoboCup development as an evaluation metric, (b) discuss the state-of-the-art approaches to these challenges and how they currently apply to RoboCup, and (c) present a path for future development in the given areas to meet RoboCup’s goal of having robots play soccer against and with humans by 2050.

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来源期刊
Autonomous Robots
Autonomous Robots 工程技术-机器人学
CiteScore
7.90
自引率
5.70%
发文量
46
审稿时长
3 months
期刊介绍: Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development. The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.
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