As part of sustainable development in innovations, a master's thesis at the University of Basra explores a hybrid approach to robot trajectory planning
A master's thesis at the College of Computer Science and Information Technology at the University of Basra has investigated a hybrid approach using vector field histograms and deep reinforcement learning for dynamic path planning of a mobile robot.
The thesis, submitted by master's student Maysam Hamid Qasim, aims to obtain more efficient and reliable navigation in complex environments, overcoming the limitations of SAC in dynamic settings.
The thesis included a comprehensive understanding of how to optimize the performance of mobile robots in complex and dynamic environments using advanced machine learning and planning techniques.
Department of Media and Government Communication
