TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - nicht begutachtet (unreviewed)
A1  - Nuredini, Ruben
T1  - Reactive Vision-Based Navigation Controller for Autonomous Mobile Agents
N2  - Initial results of an ongoing research in the field of reactive mobile autonomy are presented. The aim is to create a reactive obstacle avoidance method for mobile agent operating in dynamic, unstructured, and unpredictable environment. The method is inspired by the stimulus-response behavior of simple animals. An obstacle avoidance controller is developed that uses raw visual information of the environment. It employs reinforcement learning and is therefore capable of self-developing. This should result with obstacle avoidance behavior that is adaptable and therefore generalizes on various operational modalities. The general assumptions of the agent capabilities, the features of the environment as well as the initial result of the simulation are presented. The plans for improvement and suitable performance evaluation are suggested.
KW  - intelligent mobile agent
KW  - reactive obstacle avoidance
KW  - reinforcement learning
Y1  - 2014
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:840-opus4-1224
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:840-opus4-1224
N1  - Preprint; bei Journal of computers, ISSN 1796-203X zur Veröffentlichung im Sommer 2017 angenommen
SP  - 6 Seiten
S1  - 6 Seiten
ER  -