Company Filing History:
Years Active: 2025
Title: Yongxiang Fan - Innovator in Robotic Motion Planning
Introduction
Yongxiang Fan is a notable inventor based in Palo Alto, CA (US). He has made significant contributions to the field of robotics, particularly in motion planning for robotic systems. His innovative approach combines neural networks with practical applications in handling freight units.
Latest Patents
Yongxiang Fan holds a patent for a method titled "Learning-embedded motion planning." This invention involves the sequential handling of multiple freight units by the end effector of a robotic system. The method includes training a neural network to bias a plurality of samples from the configuration space of the end effector. The deployment of this trained neural network allows for the sensing of freight unit arrangements based on images captured by sensors. The process involves selecting a freight unit using the trained neural network, determining a starting pose for the robotic end effector to pick the unit, and establishing a goal pose for placing the unit. The motion of the robotic end effector is then planned and controlled based on the biased samples.
Career Highlights
Yongxiang Fan is currently employed at Anyware Robotics Inc., where he continues to develop innovative solutions in robotics. His work focuses on enhancing the efficiency and effectiveness of robotic systems in handling complex tasks.
Collaborations
Yongxiang collaborates with talented individuals such as Te Tang and Yiyang Zhou, contributing to a dynamic and innovative work environment.
Conclusion
Yongxiang Fan's contributions to robotic motion planning exemplify the intersection of technology and practical application. His patent reflects a forward-thinking approach that could significantly impact the future of robotics.