Dallas, TX, United States of America

Eric Michael Smith

This inventor holds 1 USPTO granted patent. Top assignee: Bastian Solutions, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eric Michael Smith. Retrieved from https://idiyas.com/inventor/eric-michael-smith-ys9cjtoq

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Eric Michael Smith: Inventor in Robotics and Artificial Intelligence.

Introduction

Eric Michael Smith is an inventor based in Dallas, Texas, and is associated with Bastian Solutions, LLC. His patent work focuses on applying artificial intelligence to robotic item handling and reducing system downtime.

Latest Patents

Smith is named on 1 patent: “Artificial Intelligence Bin Recovery Technique and Downtime Mitigation.” The invention describes a system in which robot arms pick up or place items in totes. When a robot arm cannot successfully handle items in a tote, the system routes the tote to a human operator, who rearranges the items to make them easier for the robot to pick.

An artificial intelligence system assesses whether totes are suitable for robotic picking and monitors the work of both robot arms and human operators. Data from picking and rearranging operations can then be used to train the AI system, supporting improved performance and reduced downtime.

Career Highlights

Smith’s disclosed invention brings together robotic automation, human intervention, and AI-based learning. Its recovery process is designed to address unsuccessful picking attempts while using operational data to help improve future performance.

Collaborations

Smith’s listed coworkers include Mark R. Cass and Amey Sunil Kulkarni. The patent describes a system that coordinates robotic equipment, AI, and human operators.

Conclusion

Eric Michael Smith’s patent highlights an approach to making automated tote handling more resilient by combining AI-guided assessment, human-assisted recovery, and data-driven training.

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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