Proposal of a Haptics and LSTM Based Soldering Motion Analysis System
Kyohei Toyoshima, Tetsuya Oda, Nobuki Saito, Aoto Hirata, Masaharu Hirota, Kengo Katayama
Abstract
The aging of skilled labor as trainers makes it hard to pass on techniques and train successors. In addition, a framework for quantifying soldering techniques has not been established and making it hard to evaluate the training of trainees. The haptics is able to transmit the power generated in the virtual space to the manipulator. Therefore, we analyze the soldering motion based on Long Short-Term Memory (LSTM) using training data in a virtual space. In this paper, we propose a haptics and LSTM based soldering motion analysis system.
Topics & Concepts
Haptic technologySolderingComputer scienceMotion (physics)Space (punctuation)Artificial intelligencePower (physics)Human–computer interactionSimulationComputer visionOperating systemComposite materialMaterials scienceQuantum mechanicsPhysicsTeleoperation and Haptic SystemsHand Gesture Recognition SystemsVirtual Reality Applications and Impacts