Sudarshan Harithas

Dept. of Computer Science Brown University.

I’m a second-year PhD student in the Department of Computer Science at Brown University, advised by Prof. Srinath Sridhar. Previously, I graduated from the International Institute of Information Technology Hyderabad (IIIT-H) with an MS in Computer Science, where I worked with Prof. K Madhava Krishna.

My research focuses on developing multi-embodied policies that enable autonomous robots to acquire complex behaviors by jointly learning from their own experiences as well as from multiple other embodiments. I am interested in developing general-purpose agents to solve a variety of tasks and to robustly operate in the real world.

news

Sep 22, 2024 MotionGlot is submitted to ICRA and is under review.
Aug 25, 2023 Started my PhD at Brown CS after graduating from IIIT-H with an MS in CS.
Aug 15, 2023 Our work FinderNet is accepted at WACV2024 in the first round

selected publications

  1. motionglot.gif
    MotionGlot: A multi embodied Motion Generator.
    Sudarshan S Harithas, and Srinath Sridhar
    In Under Review at ICRA ,
    Accpeted at X-Embodiment Workshop CORL 2024
    , 2025
  2. SimulationUrbanFly.gif
    Urbanfly: Uncertainty-aware planning for navigation amongst high-rises with monocular visual-inertial slam maps
    Sudarshan S Harithas, Ayyappa Swamy Thatavarthy, Gurkirat Singh, Arun K Singh, and K Madhava Krishna
    In 2023 American Control Conference (ACC), 2023
  3. simulation.gif
    Cco-voxel: Chance constrained optimization over uncertain voxel-grid representation for safe trajectory planning
    Sudarshan S Harithas, Rishabh Dev Yadav, Deepak Singh, Arun Kumar Singh, and K Madhava Krishna
    In 2022 International Conference on Robotics and Automation (ICRA), 2022
  4. ldc.gif
    FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation.
    Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, and Madhava Krishna
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024