Contribution to Mobile Robots Command
| dc.contributor.author | Boumediene, Mouad | |
| dc.contributor.author | Guechi, El-hadi | |
| dc.date.accessioned | 2024-03-18T10:10:53Z | |
| dc.date.available | 2024-03-18T10:10:53Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This 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. | |
| dc.identifier.uri | http://dspace.univ-skikda.dz:4000/handle/123456789/429 | |
| dc.language.iso | en | |
| dc.publisher | University of August 20, 1955 Skikda | |
| dc.title | Contribution to Mobile Robots Command | |
| dc.type | Thesis |