Ramin Moslemi

Title: Ramin Moslemi: Innovator in Trajectory Prediction and Robotic Navigation

Introduction

Ramin Moslemi is a prominent inventor based in Athens, GA, known for his significant contributions to the fields of trajectory prediction and robotic navigation. With a total of seven patents to his name, he has developed innovative methods that enhance the capabilities of autonomous systems.

Latest Patents

One of Ramin's latest patents is titled "Divide-and-conquer for lane-aware diverse trajectory prediction." This method provides a sophisticated approach to driving path prediction by concatenating past trajectory features and lane centerline features in a channel dimension at an agent's respective location on a top view map. The method extracts hypercolumn descriptor vectors that include convolutional features from the agent's location, leading to primary and auxiliary trajectory predictions. Additionally, it trains a vehicle trajectory prediction neural network using various loss objectives to improve accuracy.

Another notable patent is "Robotic navigation and transport of objects." This invention involves building a topological graph of an environment using nodes that represent locations and associated directions. The system determines actions using a policy trained with an action reward function, allowing an agent to navigate effectively within the environment.

Career Highlights

Ramin Moslemi is currently employed at NEC Corporation, where he continues to push the boundaries of innovation in his field. His work focuses on developing advanced navigational systems that enhance the efficiency and effectiveness of robotic applications.

Collaborations

Throughout his career, Ramin has collaborated with talented individuals such as Sriram Nochur Narayanan and Buyu Liu. These partnerships have contributed to the successful development of his innovative technologies.

Conclusion

Ramin Moslemi's work in trajectory prediction and robotic navigation showcases his dedication to advancing technology in these critical areas. His patents reflect a commitment to innovation that will undoubtedly influence the future of autonomous systems.