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roboav8r/README.md

I'm a customer success machine learning engineer at Voxel51, where I work with our enterprise customers to implement their ML workflows in FiftyOne. I earned my Ph.D. in Robotics from UT-Austin, where I specialized in multimodal perception for command and control of robots in dynamic, unstructured environments.

In my spare time, I am designing and building a robot from scratch and unifying my perception research into a new world model framework.

What I'm working on

  • 🤖 Arwun: a self-balancing, tracked robot. Build log: https://roboav8r.github.io/log/
  • 🧭 PRISM: a graph-based world model framework. Comprised of a GTSAM factor-graph backend + scene graph + LLM-grounded policy layer, fed by accelerated perception front-ends.
  • 🔭 FiftyOne plugins: specialized extensions for the FiftyOne ML framework

Interests: vision/LiDAR/audio perception for robots and intelligent systems, multiobject tracking, state estimation, scene graphs. Plus a little bit of game theory and investing.

🌐 roboav8r.github.io · 💼 LinkedIn

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  1. marmot marmot Public

    Modular and Reconfigurable Multiple Object Tracking (MaRMOT) framework for robots and intelligent systems

    Python 5 1

  2. fiftyone-object-tracking fiftyone-object-tracking Public

    Python 2

  3. UTNuclearRoboticsPublic/c2hi UTNuclearRoboticsPublic/c2hi Public

    C2HI: a Command & Control Hierarchical Interface for Human-Robot Teams in Dynamic Social Environments

    Python