首页|New Findings in Robotics Described from Technological University (Implementing a Vision-Based ROS Package for Reliable Part Localization and Displacement from C onveyor Belts)
New Findings in Robotics Described from Technological University (Implementing a Vision-Based ROS Package for Reliable Part Localization and Displacement from C onveyor Belts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news originating from Athlone, Ireland, by NewsRx corr espondents, research stated, “The use of computer vision in the industry has bec ome fundamental, playing an essential role in areas such as quality control and inspection, object recognition/tracking, and automation.” The news correspondents obtained a quote from the research from Technological Un iversity: “Despite this constant growth, robotic cell systems employing computer vision encounter significant challenges, such as a lack of flexibility to adapt to different tasks or types of objects, necessitating extensive adjustments eac h time a change is required. This highlights the importance of developing a syst em that can be easily reused and reconfigured to address these challenges. This paper introduces a versatile and adaptable framework that exploits Computer Visi on and the Robot Operating System (ROS) to facilitate pick-andplace operations within robotic cells, offering a comprehensive solution for handling and sorting randomflow objects on conveyor belts. Designed to be easily configured and rec onfigured, it accommodates ROS-compatible robotic arms and 3D vision systems, en suring adaptability to different technological requirements and reducing deploym ent costs.”
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