Tanmay Agarwal

Robotics & ML Researcher

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I am a first-year Masters Student at Stanford University advised by Prof. Fei-Fei Li and Prof. Jiajun Wu. At Stanford, I closely work with Dr. Ruohan Gao and Dr. Ruohan Zhang on multisensory robotics, developing embodied AI applications using vision, audio and touch. Previously, I was a Computer Vision Engineer at Sentera where I worked on anomaly detection in plants, and an undergraduate research assistant at Interactive Robotics and Vision Lab, advised by Prof. Junaed Sattar, where I conducted research in underwater robotics. In a previous life, I also hunted for dark matter in the Super Cryogenic Dark Matter Search (SCDMS) lab advised by Dr. Priscilla Cushman.

Outside of research, I write the bi-weekly newsletter for Gradient, a community-led publication focused on reporting the latest in AI. I also spent 2 years on the Board of the National Association of Engineering Student Councils (NAESC), where I helped develop the DE&I strategy of the national student-run non-profit. I also love kayaking, hiking, films, and standup comedy.

news

Mar 15, 2022 I have accepted the offer of admission from Stanford’s Masters in Computer Science program! I’ll be starting there in the Fall of 2022 - feel free to reach out if you’re in the Bay Area and would like to connect
Mar 1, 2022 I am joining Gradient as an Editor. I’ll be primarily focusing on writing the bi-weekly newsletter - subscribe here

selected publications

  1. CVPR
    The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
    Gao, Ruohan, Dou, Yiming, Li, Hao, Agarwal, Tanmay, Bohg, Jeannette, Li, Yunzhu, Fei-Fei, Li, and Wu, Jiajun
    Conference on Computer Vision and Pattern Recognition (CVPR), 2023 2023
    Abs
  2. IROS
    Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration
    Agarwal, Tanmay, Fulton, Michael, and Sattar, Junaed
    2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
    Abs