Haifa, Israel

Dotan Di Castro

USPTO Granted Patents = 15 

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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15 patents (USPTO):

Title: The Innovative Mind of Dotan Di Castro

Introduction

Dotan Di Castro is a prominent inventor based in Haifa, Israel. He has made significant contributions to the field of robotics and machine learning, holding a total of 14 patents. His work focuses on developing advanced methods and devices that enhance the capabilities of robots and optimize job scheduling in various industries.

Latest Patents

One of Di Castro's latest patents is a device and method for training a neural network for controlling a robot for an inserting task. This innovative method involves training a neural network to derive a movement vector for inserting an object based on the force and moment exerted on it. The process includes controlling the robot to press the object onto a plane, measuring the force and moment, and training the neural network using labeled pairs of force and moment.

Another notable patent is a method for scheduling a set of jobs for a plurality of machines. This method utilizes a Graph Neural Network to optimize job selection based on the current state of the machines. The network evaluates the set of jobs and outputs a reward for launching them on the machines, allowing for efficient scheduling and resource allocation.

Career Highlights

Throughout his career, Dotan Di Castro has worked with renowned companies such as Robert Bosch GmbH and Oath Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology and innovation.

Collaborations

Di Castro has collaborated with talented individuals in his field, including Liane Lewin-Eytan and Oren Spector. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Dotan Di Castro is a visionary inventor whose work in robotics and machine learning continues to push the boundaries of technology. His patents reflect a deep understanding of complex systems and a commitment to innovation. Through his contributions, he is shaping the future of automation and intelligent systems.

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