Abstract
Service robots need to handle a variety of everyday manipulation tasks to accomplish household chores such as cooking and cleaning. Successful execution of these tasks is highly dependent on how reliable the robot perceives its environment through noisy sensing. We present a visual world modeling system for service robots to generate and maintain accurate models of their environments for continuous scenarios. This system is designed to provide a generic platform for both humanoid and ground manipulation robots using different types of vision sensors and algorithms. In our particular implementation, visual data processed by different perception algorithms are used for building and continuously updating a world model of the environment. We evaluate our system on a variety of object manipulation scenarios and show that the system produces consistent perception outcomes suitable for different manipulation tasks.
Original language | English |
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Article number | 8270600 |
Pages (from-to) | 192-205 |
Number of pages | 14 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Volume | 49 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2019 |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Funding
Manuscript received July 7, 2017; revised September 27, 2017; accepted December 7, 2017. Date of publication January 26, 2018; date of current version December 14, 2018. This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 115E-368. This paper was recommended by Associate Editor A. Hussain. (Corresponding author: Arda Inceoglu.) The authors are with the Artificial Intelligence and Robotics Laboratory, Department of Computer Engineering, Istanbul Technical University, 34469 Istanbul, Turkey (e-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]).
Funders | Funder number |
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TUBITAK | 115E-368 |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
Keywords
- 3-D perception
- service robots
- symbolic scene representation
- visual world modeling