Boumediene, MouadGuechi, El-hadi2024-03-182024-03-182023http://dspace.univ-skikda.dz:4000/handle/123456789/429This dissertation delves into the fascinating domain of autonomous mobile robots (AMRs), inspired by significant industry advancements. This research centers on enhancing AMRs' autonomous navigation techniques with a focus on efficient path planning in industrial environments. Two pivotal contributions emerge: a hybrid pathplanning method combining the fast computation time of stochastic algorithms with accuracy and optimality of grid-based approaches, and an innovative, cost-effective workflow for AMR design and construction . Utilizing CAD, the study refines a selfbalancing robot design, validated in a ROS + Gazebo simulation, and constructed with widely available components. This work endeavors to broaden AMR applicability, making it feasible for both small-scale businesses and households.enThesis