Abstract
In a companion paper we have developed a framework for rating or comparing navigation packages. For a given environment a navigation package consists of a motion planner and a sensor to be used during navigation. The ability to rate or measure a navigation package is important in order to address issues like sensor customization for an environment and choice of a motion planner in an environment. In this paper we present the algorithm which we use in order to rate a given navigation package. Under the framework which was presented in [1], a partially observable Markov decision process (POMDP) is defined. The algorithm searches for an optimal policy to be employed in this decision process. We briefly review the problem and the framework, develop the algorithm and present experimental results.
| Original language | English |
|---|---|
| Pages (from-to) | 291-298 |
| Number of pages | 8 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 1 |
| State | Published - 2001 |
| Externally published | Yes |
| Event | 2001IEEE International Conference on Robotics and Automation (ICRA) - Seoul, Korea, Republic of Duration: 21 May 2001 → 26 May 2001 |
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence