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Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots.
Shiqi
Zhang, Dongcai Lu, Xiaoping Chen, and Peter
Stone.
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2016.
In recent years, many different types of intelligent mobile robots have been developed in research and industrial labs. Although there are significant differences in both hardware and software over these robots, many of them share a common set of AI capabilities, e.g., planning, learning, vision and natural language processing. At the same time, almost all of them are equipped with traditional robotic capabilities such as mapping, localization, and navigation. However, to date it has been difficult to compare and contrast their capabilities in any controlled way. The main goal of the Robot Scavenger Hunt is to provide a standardized framework that includes a set of standardized tasks for evaluating the AI and robotic capabilities of medium-sized intelligent mobile robots. Compared to existing benchmarks, e.g., RoboCup@Home1, Robot Scavenger Hunt aims at evaluations in larger spaces (multi-floor buildings vs. rooms) over longer periods of time (hours vs. minutes) while interacting with real human residents.
@InProceedings{IJCAI16-szhang,
author = {Shiqi Zhang and Dongcai Lu and Xiaoping Chen and Peter Stone},
title = {Robot Scavenger Hunt: A Standardized Framework for Evaluating
Intelligent Mobile Robots},
booktitle = {Proceedings of the International Joint Conference on Artificial
Intelligence (IJCAI)},
location = {New York City, USA},
month = {July},
year = {2016},
abstract = {In recent years, many different types of intelligent mobile robots
have been developed in research and industrial labs. Although there are
significant differences in both hardware and software over these robots,
many of them share a common set of AI capabilities, e.g., planning,
learning, vision and natural language processing. At the same time, almost
all of them are equipped with traditional robotic capabilities such as
mapping, localization, and navigation. However, to date it has been
difficult to compare and contrast their capabilities in any controlled way.
The main goal of the Robot Scavenger Hunt is to provide a standardized
framework that includes a set of standardized tasks for evaluating the AI
and robotic capabilities of medium-sized intelligent mobile robots. Compared
to existing benchmarks, e.g., RoboCup@Home1, Robot Scavenger Hunt aims at
evaluations in larger spaces (multi-floor buildings vs. rooms) over longer
periods of time (hours vs. minutes) while interacting with real human
residents.
},
}
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