AUTONOMOUS WITH GPS BASED CONTROLLED MOBILE ROBOT FOR MATERIAL HANDLING IN WAREHOUSE
Gokulakannan.B, Danush. B, Dr. J. Senthil Kumar
School of Mechanical Engineering,Sathyabama Institute of Science and Technology, Chennai, India
Abstract: The Autonomous Guided Vehicles (AGVs), that relied on tracks and specially defined paths or were to be overseen by operators, AMRs have evolved. PNO AMRs: using a rich set of sensors and artificial intelligence and machine learning, with computation on board for path planning, to interpret and navigate the environment, with no wired power or tethers of any kind. Since AMRs are indeed assemblies of cameras and sensors, if there is a sudden obstacle such as a fallen box or a group of people, the navigation techniques related to collision avoidance should slow down or stop in order to reroute their path across that thing and move forward with the rest of their task. Autonomous mobile robots become increasingly important in modern intralogistics. Automatic or semi-automatic goods transport by driverless platform trucks saves much more noticeably and increases the efficiency of warehouses and logistics hotspots. As they are of low heights, they will pass under rack transporters and trolleys and lift pallets from transfer racks and take them to a defined destination on their own. They perceive and avoid any obstacle to be independently able to reach their destination. Either QR codes attached to the floor or laser-assisted natural feature navigation act as orientation for the AMRs. In contrast, intralogistics is still largely characterized by standard process features, in which goods are transported anyway back to accurate positions along short and medium-length routes. Autonomous mobile robots give significant support to these processes. They relieve workers from monotonous transport tasks and reduce distances for walking, thereby increasing handling capacity and decreasing error and accident rates. They take up no more space than the load to be transported and also maneuverer extremely well in most tight spots, thanks to their compactness and mobility. Integration into established process sequences is especially easy: for example, integration into the warehouse without any problems with other automated components.
Keywords: Automotive, Electronics, FMCG, Healthcare, Hospitality, Pharmaceuticals, and Warehousing.