Cedar Falls, IA, United States of America

Rui Zhang

This inventor holds 4 USPTO granted patents. Top assignee: Deere & Company. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rui Zhang. Retrieved from https://idiyas.com/inventor/rui-zhang-v2v6857k

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Cedar Falls, IA (US) (2020)
  • Waterloo, LA (US) (2024)

Company Filing History:


Years Active: 2020-2026

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4 patents (USPTO):Explore Patents

Title: Innovations of Rui Zhang in Predictive Machine Control

Introduction

Rui Zhang is an accomplished inventor based in Cedar Falls, IA (US). He has made significant contributions to the field of machine control, holding a total of 4 patents. His work focuses on enhancing the efficiency and effectiveness of machines through predictive modeling and control systems.

Latest Patents

Rui Zhang's latest patents revolve around predictive machine control. One of his notable inventions involves obtaining a policy map that includes prescribed machine setting values for controlling a machine to perform operations at various locations in the field. This invention utilizes sensor signals to indicate future conditions that the machine will encounter as it moves through the site. A predictive model is employed to provide an expected machine response based on future conditions and prescribed machine settings. Adjusted machine setting values are generated based on this expected response, leading to the creation of control signals that manage a set of controllable subsystems.

Another patent by Rui Zhang also focuses on predictive machine control. In this invention, a policy map is created that includes a first set of machine setting values for controlling a machine at different locations. An adjustment component receives sensor signals indicating future conditions, and a cost determination component assesses whether adjustments to the settings are necessary. A predictive vehicle model is then used to provide an expected vehicle response based on the adjusted settings. Control signals are generated from the policy map, expected vehicle response, and future condition sensor signals to manage controllable subsystems effectively.

Career Highlights

Rui Zhang is currently employed at Deere & Company, where he applies his innovative ideas to improve machine performance and operational efficiency. His work has been instrumental in advancing the capabilities of agricultural machinery, making significant strides in the industry.

Collaborations

Rui Zhang collaborates with talented individuals such as Andy Blaine Appleton and Justin T Roth. Their combined expertise contributes to the development of cutting-edge technologies in machine control.

Conclusion

Rui Zhang's contributions to predictive machine control demonstrate his commitment to innovation and excellence in engineering. His patents reflect a deep understanding of machine dynamics and the application of predictive modeling, positioning him as a key figure in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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