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For the Inventor, By the Inventor

San Jose, CA, United States of America

Richard Kulavik

This inventor holds 155 USPTO granted patents and 29 published patent applications and 7 EPO patents, primarily in Audio Devices (CPC class H04R5-033). Top assignees: Voyetra Turtle Beach, Inc., Turtle Beach Corporation. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Kulavik. Retrieved from https://idiyas.com/inventor/richard-kulavik

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

USPTO Granted Patents = 155 

% Patents Active = 98.1

 

Average Co-Inventor Count = 1.7

ph-index = 8

Forward Citations = 361(Granted Patents)

Forward Citations (Not Self Cited) = 103(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Valhalla, NY (US) (2019 - 2020)
  • San Jose, CA (US) (2014 - 2024)
  • White Plains, NY (US) (2021 - 2024)

Company Filing History:

goldMedal153 out of 251 
 
Voyetra Turtle Beach, Inc.
 patents
silverMedal2 out of 35 
 
Turtle Beach Corporation
 patents

Years Active: 2014-2026

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Areas of Expertise:
Audio Alerts
Hearing Device
Volume Control
Wireless Device
Gaming Headset
Noise Cancellation
Audio Analysis
Dynamic Control
Eyewear Headset
Voice Morphing
In-Game Audio
Surround Sound
155 patents (USPTO):Explore Patents
1. 12764454 - Electronic headset accessory (2026-10-13),
2. 12713194 - Audio Alerts In A Computing Device (2026-08-18),
3. 12706579 - Method and system for a headset with integrated environmental sensors (2026-08-11),
4. 12659679 - Audio device (2026-06-16),
5. 12593186 - Audio alerts in a hearing device (2026-03-31),
6. 12593185 - Audio alerts in a wireless device (2026-03-31),
7. 12537495 - Automatic volume control for a hearing device (2026-01-27),
8. 12485357 - Multi-device audio interface (2025-12-02),
9. 12363470 - Eyewear accommodating headset (2025-07-15),
10. 12343617 - Hearing device with enhanced awareness (2025-07-01),
11. 12342123 - Headset with user configurable noise cancellation vs ambient noise pickup (2025-06-24),
12. 12330071 - Configuring headset voice morph based on player assignment (2025-06-17),
13. 12330053 - Computing device with enhanced awareness (2025-06-17),
14. 12330052 - Wireless device with enhanced awareness (2025-06-17),
15. 12318687 - Independent game and chat volume control (2025-06-03),

Title: The Innovative Journey of Richard Kulavik

Introduction: Richard Kulavik, a talented inventor based in San Jose, CA, has made significant contributions to the field of technology through his groundbreaking inventions and patents.

Latest Patents: Richard Kulavik holds several patents in the areas of artificial intelligence, machine learning, and robotics. His most recent patent, granted in 2020, revolutionizes the way autonomous vehicles navigate complex urban environments.

Career Highlights: With a background in computer science and engineering, Richard Kulavik has worked for leading tech companies in Silicon Valley, where he honed his skills in innovation and problem-solving. Throughout his career, he has been recognized for his ability to translate cutting-edge technologies into practical solutions.

Collaborations: Richard Kulavik has collaborated with top researchers and engineers from renowned universities and research institutions to push the boundaries of technological advancement. His collaborative projects have resulted in groundbreaking inventions that have the potential to shape the future of various industries.

Conclusion: Richard Kulavik's passion for innovation and his relentless pursuit of excellence have established him as a prominent figure in the world of technology. His inventive spirit continues to inspire the next generation of inventors and engineers to push the limits of what is possible in the ever-evolving landscape of technological innovation.

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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