Kausik Sivakumar

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kausik [at] seas [dot] upenn [dot no spam] edu

I am currently a Robotics Engineer at Tutor Intelligence. Here, I have broadly worked on computer vision, and motion planning problems for robotic arms. These are few of my projects here that I am proud of

  1. Built the company’s primary visual servoing method, that brought our grasping accuracy to under 3mm under real-world kinematic uncertainitites
  2. Improved our motion planning stack through employing TOPPRA and building an online method to blend subsequent motion plans
  3. Fine tuned deep learning based segmentation method - Segment Anything Model to improve scene understanding and automate robot arm picks

Before this, I was a Robotics student at the University of Pennsylvania (UPenn). I was part of the PAL group advised by Prof. Dinesh Jayaraman and Prof. Osbert Bastani where I ventured into the space of robot learning. I received the Outstanding Research Award from UPenn for my contributions toward AI.

I am actively seeking opportunities in the fields of manipulation, computer vision, and robot learning, with a strong desire to contribute and drive innovation. Please drop me an email if you are interested in my profile

News

Aug 7, 2023 I joined Tutor Intelligence as a robotics intern. Excited to understand practical challenges that arise in manipulation!
May 11, 2023 I received the Outstanding Research award from UPenn for my contributions toward Robot Learning! Excited for the opportunity to make robots perceive and act in the real world
Apr 3, 2023 I am graduating on May 15,2023, and currently on the lookout for research engineer roles that focus on robot learning/ deep learning/ computer vision/ reinforcement learning. Feel free to reach out in case you find my profile interesting.
Mar 15, 2023 Our paper on policy-aware model learning has been accepted to L4DC 2023 conference! More information about the conference - L4DC
Dec 1, 2022 Our paper on learning policy-aware models for model-based reinforcement learning has been submitted to L4DC 2023

Publications

  1. L4DC
    Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
    Yecheng Jason Ma*, Kausik Sivakumar*, Jason Yan, Osbert Bastani, and Dinesh Jayaraman
    L4DC, 2023