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Years Active: 2022-2025
Title: Ziyun Wang: Innovator in Real-Time State Estimation and Robotics
Introduction
Ziyun Wang is a prominent inventor based in Philadelphia, PA (US). He has made significant contributions to the fields of real-time state estimation and robotics. With a total of 3 patents, his work focuses on enhancing the capabilities of fast-moving object tracking and robotic trajectory generation.
Latest Patents
One of Ziyun Wang's latest patents is titled "Systems and methods for real-time state estimation of fast-moving objects." This innovative method predicts the location of fast-moving objects by utilizing event information from an event camera. The process involves generating a Binary Event History Image (BEHI) and using an event-based neural network to predict the object's location and time-to-collision (TTC). The method further estimates a second predicted location and actuates a mechanical catching device accordingly.
Another notable patent is "Trajectory generation of a robot using a neural network." This method generates a robot's trajectory from one configuration to another while avoiding obstacles. It involves obtaining physical workspace information and applying neural network weights to generate a set of values that inform the robot's trajectory within its environment.
Career Highlights
Ziyun Wang has worked with leading organizations, including Samsung Electronics Co., Ltd. and the University of Pennsylvania. His experience in these institutions has allowed him to develop and refine his innovative ideas in technology and robotics.
Collaborations
Ziyun Wang has collaborated with notable individuals in his field, including Ibrahim Volkan Isler and Daniel Dongyuel Lee. These collaborations have contributed to the advancement of his research and inventions.
Conclusion
Ziyun Wang is a distinguished inventor whose work in real-time state estimation and robotics has the potential to revolutionize how we interact with fast-moving objects and automate robotic systems. His contributions are paving the way for future innovations in these critical areas.