Karthik Mahadevan

Karthik Mahadevan

PhD student

University of Toronto

About

I am a PhD student in Computer Science at the University of Toronto, where I am supervised by Dr. Tovi Grossman and Dr. Anthony Tang. I am passionate about how we can design systems and techniques to support natural and intuitive human-robot interaction. Prior to joining the University of Toronto, I received my MSc in Computer Science at the University of Calgary where I studied how we can design autonomous vehicle-pedestrian interaction. I also hold a BSc in Electrical Engineering from the University of Alberta.

Interests

  • Human-Robot Interaction
  • Human-Computer Interaction

Education

  • PhD in Computer Science, 2023

    University of Toronto

  • MSc in Computer Science, 2019

    University of Calgary

  • BSc in Electrical Engineering, 2016

    University of Alberta

Posts

Paper conditionally accepted to UIST 2022!

More details to follow.

Best Paper Honorable Mention Award at CHI 2021

Ecstatic to announce that our CHI 2021 paper has received a Best Paper Honorable Mention Award. Congrats to all the co-authors!

Paper accepted to CHI 2021!

The first paper of my dissertation work has been accepted to CHI 2021, with co-authors Maurício Sousa, Anthony Tang and Tovi Grossman. Preprint and video below.

Awarded NSERC CGS-D

I am ecstatic to announce that I have been awarded the NSERC CGS-D scholarship to support my PhD research over the next three years.

Starting PhD

I am excited to start working towards my PhD in Computer Science at the University of Toronto.

Publications

Mimic: In-Situ Recording and Re-Use of Demonstrations to Support Robot Teleoperation

Mimic: In-Situ Recording and Re-Use of Demonstrations to Support Robot Teleoperation

A novel system that enables teleoperators to demonstrate and save robot trajectories as templates and later re-use them to execute the same action in new situations.

“Grip-that-there”: An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration

“Grip-that-there”: An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration

Mapping a design space of explicit and implicit task allocation techniques for use in ad-hoc human-robot collaboration.

Autonomous Vehicle-Cyclist Interaction: Peril and Promise

Autonomous Vehicle-Cyclist Interaction: Peril and Promise

Studying the future interaction of autonomous vehicles and cyclists through a novel simulator.

AV-Pedestrian Interaction Design Using a Pedestrian Mixed Traffic Simulator

AV-Pedestrian Interaction Design Using a Pedestrian Mixed Traffic Simulator

Examining AV-pedestrian interaction through a novel simulator and in particular studying how pedestrians can interact with a mix of manually-driven, semi-autonomous, and autonomous vehicles.

Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction

Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction

Studying how we can design interfaces to support autonomous vehicle-pedestrian interaction.