Cambridge, MA, United States of America

Ashkan Mohammadzadeh Jasour

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ashkan Mohammadzadeh Jasour: Innovator in Predictive Robotics

Introduction

Ashkan Mohammadzadeh Jasour is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of robotics, particularly in the area of predicting the trajectory of moving objects. His innovative work has implications for various applications, including autonomous systems and robotics.

Latest Patents

Ashkan holds a patent for "Systems and methods for predicting the trajectory of a moving object." This patent describes a method that involves downloading a probabilistic hybrid discrete-continuous automaton (PHA) model to a robot. The model is learned as a deep neural network, which is then used to infer a sequence of high-level discrete modes and associated low-level samples. The high-level modes correspond to candidate maneuvers for the moving object, while the low-level samples represent candidate trajectories. The method adapts the sampling of these modes to produce a reduced set of low-level samples, ultimately selecting a predicted trajectory for the moving object and controlling the robot's operation based on this prediction.

Career Highlights

Throughout his career, Ashkan has worked with prestigious organizations, including the Toyota Research Institute and the Massachusetts Institute of Technology (MIT). His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Some of Ashkan's notable coworkers include Xin Huang and Igor Gilitschenski. Their collaborative efforts have further advanced the research and development of predictive systems in robotics.

Conclusion

Ashkan Mohammadzadeh Jasour is a pioneering inventor whose work in predictive robotics is shaping the future of autonomous systems. His contributions through patents and collaborations highlight the importance of innovation in technology.

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