by M Beetz, T Arbuckle, T Belker, M Bennewitz, A Cremers, D Hähnel and D Schulz
Abstract:
Recent extensions of the RHINO control system, a system for controlling autonomous mobile robots, have further enhanced its ability to perform complex, dynamically changing, tasks. We present an overview of the extended RHINO system, sketching the functionality of its main components and their inter-relationships as well as long-term experiments demonstrating the practicality of its approach. Pointers are also provided to the detailed technical references.
Reference:
Enabling Autonomous Robots to Perform Complex Tasks (M Beetz, T Arbuckle, T Belker, M Bennewitz, A Cremers, D Hähnel and D Schulz), In KI - Künstliche Intelligenz; Special Issue on Autonomous Robots, 2000.
Bibtex Entry:
@article{beetz_enabling_2000,
author = {M Beetz and T Arbuckle and T Belker and M Bennewitz and A Cremers and D Hähnel and D Schulz},
title = {Enabling Autonomous Robots to Perform Complex Tasks},
journal = {{KI} - Künstliche Intelligenz; Special Issue on Autonomous Robots},
year = {2000},
abstract = {Recent extensions of the {RHINO} control system, a system for controlling
autonomous mobile robots, have further enhanced its ability to perform
complex, dynamically changing, tasks. We present an overview of the
extended {RHINO} system, sketching the functionality of its main
components and their inter-relationships as well as long-term experiments
demonstrating the practicality of its approach. Pointers are also
provided to the detailed technical references.},
}