About


Hi! I'm Sreeharsha Paruchuri, a graduate student at the Robotics Institute at Carnegie Mellon University where I'm pursuing a Master of Science in Robotics Systems Development degree. Previously, I earned my undergraduate degree in Electronics and Communication Engineering at the International Institute of Information Technology - Hyderabad, where I was also a researcher at the Robotics Research Center and the Cognitive Science Lab.

My journey in Robotics has primarily been driven by a deep curiosity to explore diverse fields and work on systems that build upon inter-disciplinary domain knowledge.

My undergraduate degree gave me a platform that enabled me to explore a variety of research problem statements in domains such as Robotics, Computational Social Science and Computer Vision which gave me insights into the multitude of ways a problem can be decomposed and understood.

Drawing from a rich tapestry of over two years of immersion in industry-driven robotics research, mostly in Robot Path Planning and Navigation using Reinforcement Learning, I have worked with a plethora of technologies, collaborated with researchers from various backgrounds, and driven projects from inception to impactful publications or practical implementation.

Currently, as a graduate student, I am looking to specialize in Artificial Intelligence based systems, potentially with applications in Robotics where I will look for opportunities to call upon my diverse experiences to contribute in a unique way. The unique construct of the MRSD program at CMU also lends itself to growing as a formidable team player through courses like Systems Engineering and Project Management as well as an individual with a keen eye for business opportunities via its business electives offered in conjunction with CMU's Tepper School of Business.

I am profoundly inspired by Steve Jobs, Ratan Tata and Elon Musk for their remarkable journeys and what they've stood for. Thus, my ideal long term objective of infusing embodied intelligence with cognitive reasoning - an ambition to simplify intricate tasks and supplement human creativity, is ultimately driven by the goal of championing social welfare. All in all, I look forward to being a part of endeavors that help me grow as an individual and I can't wait to see where this journey takes me next :)

Fun Fact: My Erdős number is four.

Major Projects

The only problem without a solution is an improperly phrased one.

Do check out my GitHub for more projects / codes.



Dense Stero Reconstruction in real-time

Given a set of stereo images from the KITTI dataset, we undistort and rectify the stereo pair. We employ epipolar geometry to find correspondences between the images and then use block-matching to compute a disparity map for each stereo pair. Poses are estimated using ORB-SLAM 3 and the sequence is registered and visualized as a point cloud and an octomap.

Neural Machine Translation

Comparing an LSTM and GRU based Bahdanau Attention architecture (as described in this paper ) for a popular NLP Sequence2Sequence task of Machine Translation. Both approaches make use of the ADAM optimizer. The resulting English to Hindi translation is evaluated using the BLEU score.

Pose-Graph Optimization

This project deals with a popular backend optimization framework for SLAM techniques . This SLAM backend uses information from the frontend to model the evolution of the robot in the enviornment as a graph. A non-linear least squares optimization is done using the jacobian of residuals which includes weighted loop-closures. Iteratively, an optimal pose-graph is solved for. A paper on the Past, Present and Future of SLAM is discussed.

Artpark Robotics Challenge

Finished as runners up this nation-wide competition which called forth a seamless integration of computer vision, navigation, dynamics and control algorithms in a modular software stack. Contributed to the computer vision algorithm to detect trash items and a trash can in real time using data from a RGB-D stereo camera. Used the navigation stack in ROS to communicate waypoint messages to the multiple nodes and SLAM backend.

Teaching


If you want to master something, teach it

These are words from the legendary Richard Feynman, a person who profoundly motivates me to find joy in learning something new with every experience. I have have been fortunate enough to have the opportunity to be a proponent of knowledge by working alongside Professors as a Teaching Assistant for multiple courses at IIIT, Hyderabad. Not only does teaching strengthen your conceptual understanding of a topic, but it is a chance to be helpful by giving back. I was able to contribute to the following courses by teaching, guiding and evaluating students by holding tutorial sessions and setting assignments.

(CS7.503.M21) Mobile Robotics: Hands down the most renowned course of IIIT-H across International Universities, Mobile Robotics edifies students' knowledge on robotic perception by providing to them a toolkit to pursue research at the intersection of Robotics and Computer Vision. The topics covered revolve around SLAM algorithms and classical Computer Vision.

RRC Summer School: I taught students the fundamentals of classical Computer Vision and introduced modern AI based methods utilising convolutional neural networks.

(EC5.205.S21) Introduction to Coding Theory: A subject that builds on Shannon's Theory of Communication (the mathematics behind which is something truly to be astonished by) which forms the basis on which everyday communication takes place.

(CS9.434.S22) Music, Mind and Technology: An interdisciplinary course that uses algorithms and mathematics to delve into how each facet of music is percieved by individuals and groups. I was the head TA for the course where I taught and designed evaluations for a class of over 60 graduate and undergraduate students.



Frames

To be honest, I was at the right place at the right time

Blogs

I never considered myself much of a writer (just ask my high school english teachers), but I've always had a profound love for reading — whether it's fiction or non-fiction. There's something magical about getting lost in a book, stepping into someone else's shoes, and experiencing their world, full of triumphs and sorrows. It opens your mind to new perspectives and lessons. My appreciation for writing came unexpectedly when I was invited to be a panelist for a moderated talk. That experience sparked a newfound passion for storytelling and crafting thoughtful, well-researched opinions. As a writer and editor for Ping!—the independent student media body of IIIT-H — I found a rewarding space to explore and share that passion. As an editor for the MRSD Newsletter at CMU, I look to use my experience in writing and managing a club to promote readership of the newsletter not just amongst students, but to prospective recruiters too.

A couple of my most recent articles:

The Psychology Behind Why Humans Find it Hard to Stay Home : A short feature on how humans have come to be the social creatures that we are today and relate that to how lockdown has left most of us in a state of lassitude.

An Online Felicity: Exploring challenges and possibilities : With the outbreak of COVID-19 immuring students to their houses, we investigate possibilities as to how Felicity (the annual cultural fest of IIIT-H) could shift online.

Publications


How Much do Lyrics Matter? Analysing Lyrical Simplicity Preferences for Individuals At Risk of Depression


In this study, we address the dearth of research into the role of lyrical regularities in a song by using the LZ777 compression algorithm alongside a novel compression metric. Our study revealed that individuals at-risk for depression have a penchant for songs without as many lyrical regularities as No-Risk individuals.

"Help! I need some music!": Analysing music discourse & depression on Reddit


During the pandemic, there was a signifncant increase in social media activity as people looked to the internet to find social circles of people who shared opinions or thought processes. Music sharing was a key way in which people were able to interact with each other. This study explored the intention behind sharing songs with a connotation to negative moods on internet forums.

Get in touch


Address

Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213

© Copyright 2020, Sreeharsha Paruchuri

The sweet is never as sweet without the sour