首页|Research Results from West Virginia University Update Understanding of Robotics (Bio-Inspired Motion Emulation for Social Robots: A Real-Time Trajectory Generat ion and Control Approach)
Research Results from West Virginia University Update Understanding of Robotics (Bio-Inspired Motion Emulation for Social Robots: A Real-Time Trajectory Generat ion and Control Approach)
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Data detailed on robotics have been pr esented. According to news reporting out of Morgantown, West Virginia, by NewsRx editors, research stated, "Assistive robotic platforms have recently gained pop ularity in various healthcare applications, and their use has expanded to social settings such as education, tourism, and manufacturing." Financial supporters for this research include Nasa West Virginia Epscor Program . The news correspondents obtained a quote from the research from West Virginia Un iversity: "These social robots, often in the form of bio-inspired humanoid syste ms, provide significant psychological and physiological benefits through one-on-one interactions. To optimize the interaction between social robotic platforms a nd humans, it is crucial for these robots to identify and mimic human motions in real time. This research presents a motion prediction model developed using con volutional neural networks (CNNs) to efficiently determine the type of motions a t the initial state. Once identified, the corresponding reactions of the robots are executed by moving their joints along specific trajectories derived through temporal alignment and stored in a pre-selected motion library. In this study, w e developed a multi-axial robotic arm integrated with a motion identification mo del to interact with humans by emulating their movements. The robotic arm follow s pre-selected trajectories for corresponding interactions, which are generated based on identified human motions."
West Virginia UniversityMorgantownWe st VirginiaUnited StatesNorth and Central AmericaEmerging TechnologiesMa chine LearningNano-robotRoboticsRobots