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Performance evaluation of autonomous mobile robots.

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Title: Performance evaluation of autonomous mobile robots.
Authors: Jacoff, Adam, Messina, Elena, Evans, John
Source: Industrial Robot. 2002, Vol. 29 Issue 3, p259-267. 9p.
Abstract: The National Institute of Standards and Technology (NIST) has initiated a program to develop quantitative metrics for machine intelligence. One of the possible approaches to evaluating machine intelligence is task-based performance testing, like a mouse in a maze. A series of application-specific testbeds is envisioned. NIST has created a set of reference test arenas for evaluating the performance of autonomous mobile robots performing urban search and rescue tasks. Robots must explore the maze-like test course, map the environment, find the simulated victims, and then report back their findings. In this paper, we describe our approach toward developing performance metrics for autonomous mobile robots through standardized testing within representative environments and objective performance evaluations. Our intent is to help accelerate the robotic research communities' advancement of mobile robot capabilities, thereby improving the effectiveness of robots performing within industrial settings, hazardous environments, and in exploration. [ABSTRACT FROM AUTHOR]
Copyright of Industrial Robot is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: The National Institute of Standards and Technology (NIST) has initiated a program to develop quantitative metrics for machine intelligence. One of the possible approaches to evaluating machine intelligence is task-based performance testing, like a mouse in a maze. A series of application-specific testbeds is envisioned. NIST has created a set of reference test arenas for evaluating the performance of autonomous mobile robots performing urban search and rescue tasks. Robots must explore the maze-like test course, map the environment, find the simulated victims, and then report back their findings. In this paper, we describe our approach toward developing performance metrics for autonomous mobile robots through standardized testing within representative environments and objective performance evaluations. Our intent is to help accelerate the robotic research communities' advancement of mobile robot capabilities, thereby improving the effectiveness of robots performing within industrial settings, hazardous environments, and in exploration. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Industrial Robot is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1108/01439910210425568
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              Text: 2002
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