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Tucson, AZ, United States of America

Modular Mining Systems, Inc.

Calculating rank

USPTO Granted Patents = 55

CIPO Patents = 7

Trademarks = 7

Forward Citations = 872

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30 inventors (with patents filed for the assignee):

Michael W Lewis (18 out of 19 patents)

Lucas Van Latum (17 out of 17 patents)

Andree Röttig (13 out of 13 patents)

4. William M Casson (11 out of 11 patents)

5. Edward A Branscombe (8 out of 8 patents)

6. Oleksii Masliiev (8 out of 8 patents)

7. Christopher J Utter (7 out of 7 patents)

8. Mark R Baker (4 out of 56 patents)

9. Maria Brenda R Rayco (3 out of 3 patents)

10. Ray L Burns (3 out of 3 patents)

11. Christopher Martin (3 out of 3 patents)

12. Jonathan P Olson (2 out of 5 patents)

13. Mario Leonel Rearte (2 out of 2 patents)

14. Paulo Rogério Andrade (2 out of 2 patents)

15. Kevin R Bentley (2 out of 2 patents)

Core Competencies:

Battery Electric Vehicles

Power Optimization

Driver Guidance

Hazard Avoidance

Autonomous Navigation

Tire Conditioning

Vehicle Slide Detection

Dynamic Wireless Network

Multi-Source Positioning

Guided Maneuvering

Collision Avoidance

Maintenance Management

55 patents: Sort by Forward Citations

1. 12743909 - Optimizing use of battery electric mine vehicles based on simulations (2026-09-22),

2. 12590541 - Power optimization through orchestration and prioritization of machines and functions (2026-03-31),

3. 12442644 - Driver guidance for guided maneuvering (2025-10-14),

4. 12135558 - Systems and methods for guided maneuvering with wave-off alerts (2024-11-05),

5. 12130148 - Tire conditioning optimization for a collection of mining vehicles (2024-10-29),

6. 11959753 - Driver guidance for guided maneuvering (2024-04-16),

7. 11867063 - Power optimization through orchestration and prioritization of machines and functions (2024-01-09),

8. D990343 - Housing for a driver guidance system (2023-06-27),

9. D989644 - Housing for a driver guidance system (2023-06-20),

10. D983830 - Display screen or portion thereof with transitional graphical user interface (2023-04-18),

11. D983829 - Display screen or portion thereof with transitional graphical user interface (2023-04-18),

12. D983828 - Display screen or portion thereof with transitional graphical user interface (2023-04-18),

13. D983827 - Display screen or portion thereof with transitional graphical user interface (2023-04-18),

14. D983826 - Display screen or portion thereof with transitional graphical user interface (2023-04-18),

15. D983825 - Display screen or portion thereof with transitional graphcal user interface (2023-04-18),

Company Overview

Modular Mining Systems, Inc., based in Tucson, AZ, specializes in advanced technologies for autonomous mining vehicles. The company focuses on enhancing operational efficiency and safety through innovations in battery electric vehicles, power optimization, and driver guidance systems. Their expertise extends to critical areas such as hazard avoidance, autonomous navigation, tire conditioning, and vehicle slide detection, supported by a dynamic wireless network that ensures seamless communication and data transfer in challenging mining environments.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

55 Patents

#14 in Tucson, AZ

#76 in Arizona

#6,462 in US

#12,945 in the World

Tucson, AZ, United States of America

Modular Mining Systems, Inc.

Forward Citations = 872

30 inventors:

Michael W Lewis (18 out of 19 patents)

Lucas Van Latum (17 out of 17 patents)

Andree Röttig (13 out of 13 patents)

4. William M Casson (11 out of 11 patents)

5. Edward A Branscombe (8 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Modular Mining Systems, Inc.. Retrieved from https://idiyas.com/company/modular-mining-systems

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

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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