CHAI Advanced PhD Student Talk: Karthik Subramanian

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DATE:  September 29, 2025

SPEAKER:  Karthik Subramanian, PhD [Advanced PhD Student Talk, Noon-1pm]

In-Person @ CYB-1710-1720

TALK TITLE: Effective and Safe Human Robot Collaboration in Manufacturing with Augmented Reality and Affective Computing

WEBSITE: https://mabl.rit.edu/mabl-team/

HOST: Dr. Ferat Sahin, Professor and Chair of Electrical and Microelectronics

ABSTRACT: With high rates of adoption of collaborative robots in Industry, it becomes necessary to address issues like Worker safety and comfort. Collisions between Humans and robots are the main cause of injury to workers. Besides that, When working with robots, Workers find it harder to anticipate the actions of the robot or find natural ways to communicate with them. By integrating Augmented Reality, Computer Vision and  Physiological monitoring I want to look at enhancing worker safety and comfort. I am proposing a framework that will use Head Mounted Displays, Digital Twins, safety monitoring algorithms along with established Human Computer Interaction principles, to bridge this communication gap. 

BIO: Karthik Subramanian is a Senior Software Engineer at D3 Embedded Systems and a PhD candidate at the Rochester Institute of Technology. His research focuses on enhancing human-robot collaboration in industrial environments through the integration of augmented reality, computer vision, and physiological monitoring to improve worker safety and comfort. At D3, he builds and deploys custom computer vision and deep learning solutions optimized for NVIDIA Jetson platforms. Outside of work, Karthik is passionate about sports cars—he competes in autocross events with the SCCA in the Finger Lakes region of New York and enjoys playing pickleball in his spare time.

NOTE:  To schedule interpreter and/or services for this event, please use https://myaccess.rit.edu.


Contact
Caren Epps
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Event Snapshot
When and Where
September 29, 2025
12:00 pm - 1:00 pm
Room/Location: CYB1710-1720
Who

Open to the Public

Interpreter Requested?

No

Topics
artificial intelligence
experiential learning
research