Company Filing History:
Years Active: 2023-2025
Title: Innovations of Inventor Xiaoran Fan
Introduction
Xiaoran Fan is a prominent inventor based in Secaucus, NJ (US). She has made significant contributions to the field of technology, particularly in the areas of human pose estimation and robot collision avoidance. With a total of four patents to her name, her work showcases her innovative spirit and technical expertise.
Latest Patents
One of Xiaoran Fan's latest patents is titled "Metric lifting of 3D human pose using sound." This invention estimates a person's pose using both an image and audio impulse responses. The image represents a 2D scene that includes the person, while the audio impulse responses are obtained from the environment. The pose is reconstructed based on the image and the audio data, resulting in a metric scale human pose.
Another notable patent is "Method and apparatus for robot collision avoidance by full surface proximity detection." This invention includes a system for collision avoidance that utilizes surface proximity detection. It features multiple piezoelectric elements positioned adjacent to an object's surface, along with a memory that stores instructions. A processor executes these instructions to generate and receive acoustic wave signals, filter them to reduce noise, and detect obstacles using a neural network.
Career Highlights
Xiaoran Fan is currently employed at Samsung Electronics Co., Ltd., where she continues to push the boundaries of technology through her innovative work. Her contributions have not only advanced her company but have also had a broader impact on the industry.
Collaborations
Xiaoran has collaborated with notable colleagues, including Lawrence David Jackel and Daniel Dongyuel Lee. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Xiaoran Fan is a trailblazer in her field, with a strong portfolio of patents that reflect her innovative approach to technology. Her work in human pose estimation and robot collision avoidance demonstrates her commitment to advancing the industry.