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For the Inventor, By the Inventor

Wuhan, China

Yong Ma

This inventor holds 16 USPTO granted patents and 1 published patent application. Top assignees: Wuhan University of Technology, Hon Hai Precision Industry Co., Ltd., Hongfujin Precision Industry (Wuhan) Co., Ltd.. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yong Ma. Retrieved from https://idiyas.com/inventor/yong-ma-wez8pdo2

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

USPTO Granted Patents = 16 

% Patents Active = 56.3

Average Co-Inventor Count = 3.5

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Shenzhen, CN (2012 - 2015)
  • Wuhan, CN (2014 - 2024)
  • Hubei, CN (2023 - 2024)

Company Filing History:

goldMedal11 out of 96 
 
Wuhan University of Technology
 patents
silverMedal4 out of 19,792 
 
Hon Hai Precision Industry Co., Ltd.
 patents
bronzeMedal3 out of 282 
 
Hongfujin Precision Industry (Wuhan) Co., Ltd.
 patents
4. 1 out of 4,047 
 
Hong-Fu Jin Precision Industry (Shenzhen) Co., Ltd.
 patents
5. 1 out of 865 
 
Huawei Device Co., Ltd.
 patents
where one patent can have more than one assignee

Years Active: 2012-2026

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16 patents (USPTO):Explore Patents
1. 12735152 - Method and system for formation control for unmanned surface vessel swarm via collaborative exploration deep reinforcement learning (CEDRL) (2026-09-15),
2. 12669819 - Coverage path planning method for multiple unmanned surface mapping vehicles (2026-06-30),
3. 12626606 - Water-air integrated search and rescue system and method (2026-05-12),
4. 12559211 - Coverage-path planning method for single unmanned surface mapping vessel (2026-02-24),
5. 12172739 - Path planning system and method for sea-aerial cooperative underwater target tracking (2024-12-24),
6. 11990044 - Intelligent collision avoidance method for a swarm of unmanned surface vehicles based on deep reinforcement learning (2024-05-21),
7. 11921505 - Unmanned surface vehicle control method based on switching T-S fuzzy system under DoS attack (2024-03-05),
8. 11914376 - USV formation path-following method based on deep reinforcement learning (2024-02-27),
9. 11851147 - Spatio-temporal DP method based on ship trajectory characteristic point extraction (2023-12-26),
10. 11770270 - Integrated automated driving system for maritime autonomous surface ship (MASS) (2023-09-26),
11. 11358688 - Method and system for determining safe under keel clearance of ultra-large ship (2022-06-14),
12. 9152245 - Rolling type input apparatus and method for setting sensitivity thereof, and electronic equipment (2015-10-06),
13. 8905362 - Test support apparatus (2014-12-09),
14. 8770536 - Clipping apparatus for expansion card (2014-07-08),
15. 8733858 - Computer enclosure (2014-05-27),

Title: Yong Ma: Innovator in Underwater Target Tracking and Autonomous Navigation

Introduction

Yong Ma is a prominent inventor based in Wuhan, China, known for his significant contributions to the fields of underwater target tracking and autonomous navigation. With a total of 12 patents to his name, he has developed innovative solutions that enhance the efficiency and safety of unmanned surface vehicles.

Latest Patents

One of Yong Ma's latest patents is a path planning system and method for sea-aerial cooperative underwater target tracking. This invention involves obtaining position information of a detection target and executing a series of path planning steps to track the target effectively. The method utilizes collaborative optimization among several clusters to improve tracking efficiency and enhance autonomous collaborative tracking capabilities.

Another notable patent is an intelligent collision avoidance method for a swarm of unmanned surface vehicles based on deep reinforcement learning. This method proposes a theoretical framework for autonomous learning collision avoidance, integrating LSTM neural network capabilities to ensure continuity in collision avoidance actions. The developed training system allows unmanned surface vehicles to navigate safely in environments with potential collisions.

Career Highlights

Yong Ma has worked with esteemed organizations such as Wuhan University and Hon Hai Precision Industry Co., Ltd. His experience in these institutions has contributed to his expertise in developing advanced technologies in his field.

Collaborations

Throughout his career, Yong Ma has collaborated with talented individuals, including Yu-Lin Liu and Yujiao Zhao. These partnerships have fostered innovation and the successful development of his patented technologies.

Conclusion

Yong Ma's work exemplifies the intersection of technology and innovation in underwater tracking and autonomous navigation. His contributions continue to shape advancements in these critical areas, showcasing the importance of inventive thinking in solving complex challenges.

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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