首页|Researcher at PSL Research University Releases New Study Findings on Robotics (R obot Docking and Charging Techniques in Real Time Deep Learning Model)
Researcher at PSL Research University Releases New Study Findings on Robotics (R obot Docking and Charging Techniques in Real Time Deep Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on robotics are disc ussed in a new report. According to news reporting from Paris, France, by NewsRx journalists, research stated, "This article describes various approaches that u tilize computer vision and Lidar technology." Our news editors obtained a quote from the research from PSL Research University : "These approaches include, but not limited to, vision-based algorithms such as the Faster RCNN model and AprilTag; and single shot detectors (SSD). In carryin g out docking and recharging operations, the aforementioned approaches have show n varying degrees of success and accuracy. In order to make it easier for mobile robot systems to perform autonomous docking and recharging (ADaR) in industrial settings, this study presents a new method that employs vision and Lidar techno logy. In this study, we propose the YOLOv7 deep learning model to find charging stations. To further simplify docking with the specified wireless charging stati on, a Lidar-based approach is used to precisely modify the robot's position. An account of the assessment standards and training procedure used for the adjusted YOLOv7 model is provided in the results and discussion section."
PSL Research UniversityParisFranceEuropeEmerging TechnologiesMachine LearningRobotRoboticsTechnology
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