Hamilton, Canada

Robert Alojz Skaljin

This inventor holds 2 USPTO granted patents and 4 published patent applications, plus 1 CIPO patent. Top assignee: The Toronto-Dominion Bank. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Robert Alojz Skaljin. Retrieved from https://idiyas.com/inventor/robert-alojz-skaljin

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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2 patents (USPTO):Explore Patents

Title: Robert Alojz Skaljin: Patents in Conversational AI and Collision Assessment.

Introduction

Robert Alojz Skaljin is an inventor associated with The Toronto-Dominion Bank and based in Hamilton, Canada. His patent work includes applications of artificial intelligence to chatbot interactions and computer-assisted assessment of motor vehicle collisions. He is named on 2 patents.

Latest Patents

“Chatbot with Dynamic Conversational Tone” describes a chatbot that uses AI models to determine both the content and interaction style of its next response. The system considers the conversation and historical chat content to select an appropriate tone, and an AI agent may take action based on the response.

“Systems and Methods for Automatically Assessing Fault in Relation to Motor Vehicle Collisions” describes a computer-implemented approach for recommending a fault determination. It evaluates unstructured text about a collision, identifies relevant intent, and uses a decision tree and follow-up prompts to match the circumstances to a fault-determination rule.

Career Highlights

Skaljin’s listed inventions address distinct challenges in digital services: making chatbot conversations more responsive to context and helping structure the assessment of collision circumstances. Both patents describe systems that use AI or decision logic to process information and produce a response or recommendation.

Collaborations

Skaljin is associated with The Toronto-Dominion Bank. His listed coworkers include John Jong-Suk Lee and Steven Anthony Ghose.

Conclusion

Robert Alojz Skaljin’s two patents reflect work on conversational AI and automated motor vehicle collision assessment, connecting intelligent digital interactions with structured decision support.

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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