Culver City, CA, United States of America

Justin David Lawrence

This inventor holds 1 USPTO granted patent. Top assignee: Honeybee Robotics, Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Justin David Lawrence. Retrieved from https://idiyas.com/inventor/justin-david-lawrence

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Justin David Lawrence and Aerospace Payload Unloading

Introduction

Justin David Lawrence is an inventor based in Culver City, California. His work includes a patent for a system designed to unload payloads from an aerospace landing vehicle. Lawrence is associated with Honeybee Robotics, Ltd.

Latest Patents

Lawrence is named on 1 patent: “System and Method of Unloading a Payload from an Aerospace Landing Vehicle.” The invention describes a cargo-unloading system that couples to an aerospace landing vehicle. A carriage supports at least one pivoting main arm, with a linear-slide arm attached to one end and an end effector at the other. A bidirectional rotation mechanism connects the carriage and the main arm, enabling the system to move and unload a payload.

Career Highlights

Lawrence’s patented work addresses the practical challenge of transferring cargo from an aerospace landing vehicle. The system’s combination of rotational movement, linear sliding, and an end effector provides a mechanism for handling payloads during unloading.

Collaborations

Lawrence’s listed coworkers include Vishnu Sanigepalli and Brian David Vogel. His association with Honeybee Robotics, Ltd. places his work within a company focused on robotics and engineering.

Conclusion

Justin David Lawrence’s patent presents a mechanical approach to unloading cargo from an aerospace landing vehicle, combining articulated arms and a payload-handling end effector.

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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