For the Inventor, By the Inventor

Enter assignee name

Ann Arbor, MI, United States of America

May Mobility, Inc.

Calculating rank

USPTO Granted Patents = 41

Forward Citations = 203

Loading Chart...

Loading Chart...

31 inventors (with patents filed for the assignee):

Edwin B Olson (36 out of 51 patents)

Tom Voorheis (18 out of 18 patents)

Collin Johnson (16 out of 19 patents)

4. Steve Vozar (14 out of 14 patents)

5. Melinda Kothbauer (11 out of 11 patents)

6. Jeff Sterniak (11 out of 11 patents)

7. Sajan Patel (10 out of 11 patents)

8. Jason Ye (5 out of 5 patents)

9. John Cavicchio (5 out of 5 patents)

10. Andres Tamez (5 out of 6 patents)

11. Jacob Lucero (5 out of 5 patents)

12. Justin Tesmer (5 out of 5 patents)

13. Anush Gandra (5 out of 5 patents)

14. Yaxin Luan (5 out of 5 patents)

15. Stuart Fairley (5 out of 5 patents)

Core Competencies:

Autonomous Agent

Environmental Representation

Safety Operations

Behavior Prediction

Policy Selection

Remote Assistance

Infrastructure Calibration

Impact-Based Operation

Multimodal Safety

41 patents: Sort by Forward Citations

1. 12594961 - Method and system for dynamically curating autonomous vehicle policies (2026-04-07),

2. 12559143 - Method and system for dynamically updating an environmental representation of an autonomous agent (2026-02-24),

3. 12559132 - Method and system for conditional operation of an autonomous agent (2026-02-24),

4. 12545290 - Method and system for predicting external agent behavior (2026-02-10),

5. 12441364 - Method and system for impact-based operation of an autonomous agent (2025-10-14),

6. 12394311 - Systems and methods for implementing multimodal safety operations with an autonomous agent (2025-08-19),

7. 12371067 - Method and system for dynamically updating an environmental representation of an autonomous agent (2025-07-29),

8. 12319313 - Method and system for operating an autonomous agent with incomplete environmental information (2025-06-03),

9. 12296849 - Method and system for feasibility-based operation of an autonomous agent (2025-05-13),

10. 12240494 - Method and system for remote assistance of an autonomous agent (2025-03-04),

11. 12157479 - Autonomous vehicle safety platform system and method (2024-12-03),

12. 12099140 - Systems and methods for intelligently calibrating infrastructure devices using onboard sensors of an autonomous agent (2024-09-24),

13. 12077183 - Method and system for remote assistance of an autonomous agent (2024-09-03),

14. 12032375 - Multi-perspective system and method for behavioral policy selection by an autonomous agent (2024-07-09),

15. 12027053 - Method and system for assessing and mitigating risks encounterable by an autonomous vehicle (2024-07-02),

Company Overview

May Mobility, Inc. is a technology company based in Ann Arbor, Michigan, specializing in autonomous vehicle solutions. The company focuses on developing self-driving shuttles designed for urban environments, enhancing public transportation systems and improving mobility for communities. By leveraging advanced robotics and artificial intelligence, May Mobility aims to create safe, efficient, and accessible transportation options. Their innovative approach integrates seamlessly with existing infrastructure, promoting sustainable urban mobility solutions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 3 2026

41 Patents

#18 in Ann Arbor, MI

#322 in Michigan

#8,453 in US

#16,735 in the World

Ann Arbor, MI, United States of America

May Mobility, Inc.

Forward Citations = 203

31 inventors:

Edwin B Olson (36 out of 51 patents)

Tom Voorheis (18 out of 18 patents)

Collin Johnson (16 out of 19 patents)

4. Steve Vozar (14 out of 14 patents)

5. Melinda Kothbauer (11 out of 11 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: May Mobility, Inc.. Retrieved from https://idiyas.com/company/may-mobility

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]

Loading…