Abstract: The paper is related with the problem of developing autonomous intelligent robots for complex environments. In details it outlines a knowledge-based robot control architecture that combines several techniques in order to supply an ability to adapt and act autonomously in complex environments. The described architecture has been implemented as a robotic system that demonstrates its operation in dynamic environment. Although the robotic system demonstrates a certain level of autonomy, the experiments show that there are situation, in which the developed base architecture should be complemented with additional modules. The last few chapters of the paper describe the experimentation results and the current state of further research towards the developed architecture.

Keywords: Intelligent robots, autonomous intelligent systems, autonomous robots. Artificial intelligence.

ACM Keywords: I.2.4.J – Representations, I.2.6.A – Analogies, I.2.6.E – Induction, I.2.8.G – Plan execution, formation, and generation, I.2.9.A – Autonomous Vehicles

Link:

KNOWLEDGE-BASED ROBOT CONTROL

Agris Nikitenko

http://www.foibg.com/ijita/vol15/ijita15-2-p05.pdf