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Aarush Das
Aarush Das
Background
Background
Aarush is an undergraduate EECS senior who is very passionate about data and autonomous systems. His experiences lie in developing LLMs and computer vision.
Contributions
Contributions
With Kireeti, Aarush helped with the AruCo tag detection and working on the optimal positioning of the camera and the placement of the tags. Aarush helped with all aspects of the project with John and Sarvagya but centered around the AruCo tag problem.
Kireeti Chilakamarry
Kireeti Chilakamarry
Background
Background
Kireeti is a senior pursuing a double degree in Computer Science and Statistics, with an interest in the intersection of Statistics, ML, and Philosophy. He has experience in implementing agentic systems and computer vision.
Contributions
Contributions
Along with Aarush, Kireeti helped with the ArUco tag detection part of the project. He also helped John and Sarvagya calibrate the end-effector offsets for each step of the procedure and determine an optimal camera position.Â
John Chang
John Chang
Background
Background
John is a CS undergraduate senior who is interested in the intersection of art and technology. He has experience in distributed systems and machine learning applications.
Contributions
Contributions
John helped adapt the code for Logitech camera by replacing LIDAR-based detection with ArUco tags, and also debugged the code so that it could work for any size ArUco tag. Along with Sarvagya John also helped calibrate the end-effector offsets.
Sarvagya Somvamshi
Sarvagya Somvamshi
Background
Background
Sarvagya is an EECS undergraduate senior who is interested in AI and Philosophy. He has experience with AR/VR development and computer vision.
Contributions
Contributions
Sarvagya helped John with the code adaptation and with calibrating the end effector offsets. He also wrote code for the human intervention part of the scrolling procedure.
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