๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Mobile robot localization using a self-organized visual environment representation

โœ Scribed by Georg von Wichert


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
818 KB
Volume
25
Category
Article
ISSN
0921-8890

No coin nor oath required. For personal study only.

โœฆ Synopsis


Owing to the upcoming applications in the field of service robotics mobile robots are currently receiving increasing attention in industry and the scientific community. Applications in the area of service robotics demand a high degree of system autonomy, which robots without learning capabilities will not be able to meet. Learning is required in the context of action models and appropriate perception procedures. In both areas flexible adaptivity is difficult to achieve especially when high bandwidth sensors (e.g. video cameras) -which are needed in the envisioned unstructured worlds -are used. This paper proposes a new methodology for image-based navigation using a self-organized visual representation of the environment. Self-organization leads to internal representations, which can be used by the robot, but are not transparent to the user. It is shown how this conceptual gap can be bridged.


๐Ÿ“œ SIMILAR VOLUMES


Self-organizing Internal Representation
โœ Jun Tani; Naohiro Fukumura ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 623 KB

Z7dspaper discusses a novel schemefor sensory-bosednavigation of a mobile robot. In our previous work (Tani & Fukumura, 1994, Neural Networks, 7(3), 553-563), weformulated the problem of goal-directed navigation as an embealiing problem of dynamical systems: desired trajectories in a task space shou