Negar Zahedi Mehr

Title: Innovator Negar Zahedi Mehr: Pioneering Robotics and Risk-Aware Planning

Introduction

Negar Zahedi Mehr is a prominent inventor based in Stanford, California, known for her contributions to robotics and risk-aware planning. With two patents to her name, she has made significant strides in developing systems that enhance the control and operation of robots in complex environments.

Latest Patents

Her latest patents include "Systems and methods for controlling a robot," which focuses on optimizing robot control through a bilevel optimization problem. This method utilizes an iterative Linear-Exponential-Quadratic-Gaussian (iLEQG) algorithm and a cross-entropy process to improve the robot's operational efficiency. Another notable patent is "Game-theoretic planning for risk-aware interactive agents," which models vehicles as risk-aware agents in a driving environment. This method ranks planned trajectories based on a risk-aware cost function, allowing for safer navigation towards target destinations.

Career Highlights

Negar has worked with esteemed organizations such as the Toyota Research Institute and Leland Stanford Junior University. Her experience in these institutions has allowed her to collaborate on cutting-edge research and development projects that push the boundaries of technology.

Collaborations

Negar has collaborated with notable colleagues, including Adrien David Gaidon and Mac Schwager, contributing to innovative projects that enhance the field of robotics and interactive systems.

Conclusion

Negar Zahedi Mehr's work exemplifies the intersection of robotics and risk management, showcasing her innovative spirit and dedication to advancing technology. Her patents reflect her commitment to creating safer and more efficient systems in the realm of robotics.