首页|'System and Method for Robotic Battery Exchange for Local Use Vehicles' in Paten t Application Approval Process (USPTO 20240132287)
'System and Method for Robotic Battery Exchange for Local Use Vehicles' in Paten t Application Approval Process (USPTO 20240132287)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A patent application by the inventors Oliver, Ethan (Greenville, SC, US); Walker, Michael (Greenville, SC, US); Ward, John (Greenville, SC, US), filed on October 17, 2023, was made available online on April 25, 2024, according to news reporting originating from Washington, D.C. , by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Local use vehicles such as forklifts, golf cart s, shuttles, and others are in use in many locations, such as factories, warehou ses, golf courses, parks, campuses, etc. Conventionally, such vehicles were powe red by a combustible fuel such as gasoline, diesel, liquid propane, compressed n atural gas, etc., although use of electric (battery-powered) vehicles has become more common in recent years. Typically, to charge batteries for such electric v ehicles, the user drives the vehicle to a charging location where a power cord o r other connector is available to connect the vehicle’s battery to a source of p ower. Once connected, the power source recharges the battery, usually over a per iod of time measured in hours (e.g., 4-8 hours for a conventional forklift, golf cart, or automobile). After charging is complete, the vehicle can be driven awa y for further use. If the vehicle is a robotic shuttle such as an Automatic Guid ed Vehicle (AGV) in a so-called Dark Warehouse or other location, the vehicle’s sensors and controls work in concert with the system’s sensors and controls to d rive the vehicle on its working route and to and from the charging location.
Emerging TechnologiesMachine LearningPatent ApplicationRisk and PreventionRoboticsRobots
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