Karthik Mahadevan

Karthik Mahadevan

Ph.D. Candidate

University of Toronto

About

I am a PhD candidate in Computer Science at the University of Toronto, where I am advised by Dr. Tovi Grossman and Dr. Anthony Tang. My research interests lie in how we can facilitate interactions between humans and robots. My research has been supported by the NSERC CGS-D Fellowship and the Google PhD Fellowship. My work is regularly published at top human-computer interaction venues including CHI, HRI, and UIST, where I have received 1 honorable mention and 1 best paper award. I have also spent considerable time in industry research labs including at Google DeepMind, Meta Reality Labs, Autodesk Research, and Honda Research Institute.

I am on the job market in the 2024-2025 cycle. I am seeking tenure-track positions in academia or industry research roles. Please reach out if you are interested!

Posts

Received Best Paper Award at HRI2024!

Our work, Generative Expressive Robot Behaviors using Large Language Models, received a Best Paper Award (Technical Track) at this year’s HRI!

Paper accepted to HRI 2024!

The work I conducted while working as a student researcher at Google Deepmind has been accepted to HRI 2024.

Started student researcher position in the robotics team at Google Deepmind.

I will be focusing on an HRI-related project.

3 papers accepted to CHI 2023!

3 papers accepted including one first author paper on querying spatial design recordings, a project I worked on during an internship at Autodesk Research. More details to follow.

Publications

(2024). Generative Expressive Robot Behaviors using Large Language Models. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024.
Best Technical Paper (Top 1%).

PDF Website

(2023). Tesseract: Querying Spatial Design Recordings by Manipulating Worlds in Miniature. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.

PDF Video

(2023). Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.

PDF Video

(2023). Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice Assistants. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.

PDF Video

(2022). Mimic: In-Situ Recording and Re-Use of Demonstrations to Support Robot Teleoperation. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), 2022.

PDF Video

(2021). “Grip-that-there”: An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2021.
Best Paper Honorable Mention (Top 5%).

PDF Video

(2020). Autonomous Vehicle-Cyclist Interaction: Peril and Promise. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2020.

PDF Video

(2019). AV-Pedestrian Interaction Design Using a Pedestrian Mixed Traffic Simulator. In Proceedings of the ACM Conference on Designing Interactive Systems (DIS), 2019.

PDF Video

(2018). Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2018.

PDF Video