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ShauryaSen/README.md

Shaurya Sen

I study CS at Cornell and do reinforcement learning research with Prof. Sarah Dean. I work on simulating and training robots.

Research

Projects

  • Drone racing: PPO in Flightmare, an IROS 2021 replication (flightmare-vm).
  • Marine search and rescue at the West Point Robotics Research Center: YOLO on unmanned boats to find people overboard (SNR-yolo-moos-integration, report).

Previously: two summers as a software engineer at Bloomberg.

Website · LinkedIn · Resume

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  1. sdean-group/balloon-env-dev sdean-group/balloon-env-dev Public

    Forked from VinamrJain/zermelo

    A simplified discrete grid environment inspired by balloon navigation. The environment consists of a 3D grid with a spatially smooth stochastic wind field. Actors experience passive horizontal drif…

    Jupyter Notebook 1

  2. hexapod-locomotion hexapod-locomotion Public

    Training a six-legged robot to walk in Isaac Lab: a velocity-tracking environment, PPO, and gait imitation with BC + DAgger.

    Python

  3. flightmare-vm flightmare-vm Public

    Drone racing with PPO in Flightmare: an IROS 2021 replication, solved with a curriculum and with an Optuna sweep.

    C++

  4. balloon-sim balloon-sim Public

    Balloon navigation under forecast error: differentiable dynamics in JAX, gradient MPC, hindsight bounds.

    Python

  5. Cornell-Physical-Intelligence/hexapod-cupi Cornell-Physical-Intelligence/hexapod-cupi Public

    Python 2 1

  6. dejaa1/SNR-yolo-moos-integration dejaa1/SNR-yolo-moos-integration Public

    Using yolo object detection and homography to localize people overboard for automonous USV's searc and rescue missions with ntegtration in moos-ivp middleware

    Python 2 1