Abstract
In this paper, we carry out the experimental comparison between the Tracking and AutMove behavior. The experimental results show that the two navigation schemes have appropriate environments. Therefore, we redesign the navigation framework proposed method in [1]. As pointed out in [1], the main advantage of the GSPN is that the numbers of places and transitions only increase linearly as the system complexity increase, whereas the number of states in the MPs increase exponentially. The redesigned model in this paper, EMC (Embedded Markov Chain) matrix has 36x36 dimensions. The system modeling using the GSPN is quite useful, even though the state-space increases exponentially. Also, the performance analysis can be done automatically using mathematical formulation of the GSPN. The experimental results show that the selection between the Tracking and Automove by added components increases the navigation performance.
| Original language | English |
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| Pages | 973-978 |
| Number of pages | 6 |
| Publication status | Published - 2008 |
| Event | 39th International Symposium on Robotics, ISR 2008 - Seoul, Korea, Republic of Duration: 2008 Oct 15 → 2008 Oct 17 |
Other
| Other | 39th International Symposium on Robotics, ISR 2008 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 08/10/15 → 08/10/17 |
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Software