Vignesh Rajmohan

ECE/Robotics @ CMU

Projects

Robot Lamp v2

Adding a ton of functionality to the original project.

Building
Robot Lamp v2

Visibility Graph Convex Partitioning

Created a novel partitioning method for polygonal obstacle-filled 2D environments to speed up planning using Graphs of Convex Sets (GCS) by replacing the currently used IRIS partitioning method, allowing for real-time planning capabilities.

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CopyCat

Developed unsupervised deep learning method in Pytorch for discovering and learning robot skills from unlabeled video demos of human behavior. Evaluated by tasking delta robot with imitating human demos.

Made with Mrinal Verghese for Learning for Manipulation by Oliver Kroemer

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1x1: Package Re-identification

Backed by PearVC startup, developed system to re-identify packages using multiple visual features: color histogram, contrastive encoding, and package dimensions.

Completed

Robot Lamp v1

A 4 degrees of freedom robotic lamp that interacts with users using computer vision and machine learning and “expresses” itself using principles of human robot interaction.

Shelved

Thread

An iOS application written in Python that allows users to leave a digital “thread” when travelling using GPS data and record visual landmarks using photos to document the route and get accurate directions back to the start location.

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NextUp

A group Spotify queuing and voting app that utilizes the Spotify API and Python in tandem with a Flask backend and a React UI and Axios js to change the order of songs on a playlist in real time.

Made with Diego San Miguel, Mae Hoad, and Sean Prendi

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