![]() ![]() When faced with other objects, an AMR will determine if it makes sense to leave its path and go around its obstacle by assessing how much time and space certain movements require. He explains that AMRs have to look at the world and calculate how things move. ![]() Path planning is a lot more flexible.” says Dydek on the benefits this navigation approach offers. “AMRs think like people and deal with challenges that invariably come up,” says Dydek, “Those challenges aren’t the exception to the rule – they are the rule.” Through the use of local sensors and onboard computing, they are able to navigate around other drivers and manual equipment, quickly figuring out the best possible response to their surroundings. “They do more thinking, they understand how the world is connected,” says Dydek, “They reason about how to move in the facility like a person would.” With this technology, AMRs are able to negotiate space with better efficiency. In comparison, AMRs are path-planners, meaning they use programmed intelligence to make decisions about where to go, and when. “With path-following, that’s all you can do,” says Dydek, “If something is in the way, it just stops and waits for someone to help.” Beyond the disruptive installation process that this entails, this means that the vehicles are limited and unable to adapt to anything that may interrupt their path. Like trains on a track, AGVs follow predetermined routes - typically using magnets installed in the floor or by tracking painted lines. To first understand how they are able to do this, its important to understand how path-following AGVs traditionally operate. While AMRs carry out the same functions as existing legacy automation systems like automated guided vehicles (AGVs), they do so using advanced navigation methods that allow them to vastly outperform other solutions. How Autonomous Warehouse Robots Navigate Industrial Facilities
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