Implementation of Machine Learning Algorithms for Autonomous Robot Trajectory Resolving
Marius Šumanas, Vytautas Bučinskas, Inga Morkvenaite Vilkonciene, Andrius Dzedzickis, Tadas Lenkutis · 2019
Machine learning in the modern industry and transport became a hot issue and its implementation finding broad field in recent activities in industry and daily life. Robotic is widely using machine learning of different type for image recognizing and for robotic trajectory generation in unknown environment. This paper provides overview of existing feature and tries to predict trend of machine learning development in the robotics. Use of connection between units and machine learning features can improve intelligence and capabilities of robots for trajectory generation. Reviewed cases provides nice results, available on the field of robotic trajectory and brings some breakthrough movement towards fully autonomous devices. Finally, discussion and conclusions are provided in the paper.