Karthik Mahadevan
@karthikm0
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Human-Robot Interaction Researcher | PhD candidate in the @dgpToronto lab at @UofT.
Toronto, Canada
Joined April 2018
I am on the job market, seeking tenure-track or industry research positions starting in 2025. My research combines human-computer interaction and robotics—please visit for updated publications and CV. Feel free to reach out if interested. RT appreciated!.
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RT @ToviGrossman: Congrats to @karthikm0 (and amazing co-authors!) on the Best Paper Award at #HRI2025 for "ImageInThat: Manipulating Image….
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RT @sangho_suh: 💼 I'm on the job market for tenure-track faculty positions or industry research scientist roles, focusing on HCI, Human-AI….
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RT @younghyo_park: Collect robot demos from anywhere through AR!. Excited to introduce 🎯DART, Dexterous AR Teleoperation interface enabling….
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RT @bengisucagiltay: I'm on the job market👀seeking TT-faculty and post-doc positions starting Fall 2025 to continue my research in family-c….
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RT @ToviGrossman: What’s the future of #HCI + #AI innovation? I believe it’s bright! Had some fun writing this article on drawing parallels….
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RT @nikhitajoshi: Happy to announce 2 #CHI2024 papers from @ExiiUW, @uwhci, & @UWCheritonCS! First, @nonsequitoria & I show that a text hig….
nikhitajoshi.ca
Research from University of Waterloo HCI: Constrained Highlighting in a Document Reader can Improve Reading Comprehension
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RT @anagh_malik: 📢📢📢 A pulse of light takes ~3ns to pass through a Coke bottle—100 million times less than it takes you to blink. Our work….
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RT @normandipalo: ✨ Introducing Keypoint Action Tokens. 🤖. We translate visual observations and robot actions into a "language" that off-th….
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RT @UofTCompSci: Through a weeklong, immersive program at @UofTCompSci’s Dynamic Graphics Project lab, high school students got to know mor….
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RT @allenzren: How do we get robots to efficiently explore diverse scenes and answer realistic questions? e.g., is the dishwasher in the ki….
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RT @bryanhaoenwang: Videos are fun to watch, but editing them ourselves can be challenging! Next week at @ACMIUI '24, I will be presenting….
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RT @adwait_sharma: Our @HCI_Bath group at @UniofBath (ranked 🇬🇧 top 5) is searching for a rockstar Lecturer/Assistant Professor with intere….
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RT @TonyBelpaeme: Fantastic talk by Carolina Parada @carolina_parada from Google Deepmind on using LLMs to control and teach robots. LLMs….
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(9/9) This work was done during an internship at Google Deepmind Robotics where I was supervised by many wonderful people including, Jonathan Chien, Noah Brown, Zhuo Xu, @carolina_parada, @xf1280, @andyzeng_, @leilatakayama, and @DorsaSadigh.
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(8/9) Please see our HRI2024 paper: and website: for more details.
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(7/9) GenEM can also generate more complex behaviors by composing previously learned behaviors, adapt to user feedback, and generate behaviors for robots with different affordances.
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(6/9) Our results suggest that the GenEM behaviors were not perceived as significantly worse by participants (and performed better than the animator in some cases).
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(5/9) We ran two studies where participants watched videos of robot behaviors ranging from simple (e.g., nodding) to complex (e.g., observing a human demonstration). We compared GenEM (w/o user feedback) and GenEM++ (w/ user feedback) to behaviors made by a professional animator.
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(4/9) However, since the behavior may not always align with the user’s intention, they can provide feedback to iteratively refine it.
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