A genetic algorithm for autonomous navigation in partially observable domain
arXiv:1507.07374v1
Originality Synthesis-oriented
AI Analysis
This addresses navigation challenges for robotics in partially observable settings, but appears incremental as it builds on existing methods without clear breakthroughs.
The paper tackled autonomous navigation in partially observable domains by introducing a navigation algorithm based on a Learning Classifier System, using a simplistic environment model, but no concrete results or numbers were provided.
The problem of autonomous navigation is one of the basic problems for robotics. Although, in general, it may be challenging when an autonomous vehicle is placed into partially observable domain. In this paper we consider simplistic environment model and introduce a navigation algorithm based on Learning Classifier System.