Hey there, this is Pranay!
I am a Research Engineer at Scaled Foundations building general purpose foundational models for Robotics.
I was previously a Master's student in Computer Science at the University of Massachusetts. While there, I was a Graduate Student Researcher with Meta Reality Labs, collaborating alongside Dr. Shane Moon on the IMU2CLIP work. Even before that, I also had the opportunity to be a research intern at AirLab, associated with the Robotics Institute at Carnegie Mellon University. There, I worked alongside Dr. Chen Wang and Dr. Sebastian Scherer on Few Shot Object Detection, and contributed towards PyPose.
My initial steps into research were guided by Dr. Sumeet Kumar at the Indian School of Business Hyderabad, where I worked on identifying surrogate product placements in YouTube Kids videos using Few Shot Learning.
Contact : pranayr@umass.edu
Experience
Carnegie Mellon University
Research Intern, AirLabSep '21 - Nov '22
Indian School of Business
Research Intern, SRITNEMay '21 - Aug '22
IIITDM Jabalpur
B.Tech in Electronics and CommunicationAug '18 - May '22
Publications
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer. [ECCV2022, Accepted.]
Leverage class-agnostic relation to implement few-shot detection w/o fine-tuning, which enables fast and efficient robotic exploration.
Paper Code Webpage
PyPose: A Library for Robot Learning with Physics-based Optimization
Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, D aning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Han Wang, Huai Yu, Shanzhao Wang, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Luca Carlone, Marco Hutter, Sebastian Scherer. [CVPR 2023, Accepted.]
An open source library that connects classic robotics with modern learning methods seamlessly.
Paper Code Webpage
Selected Projects
Grading of Tomatoes
Detecting the grade of tomatoes using Machine Learning and Image Processing techniques and comparing the results with Deep Learning approaches.
Get Rid of Your Notes
GROUN is an application that can be used to delete the spam related to lecture slides/notes present in our devices without having to manually delete them.
Covid-19 Detector
An attempt to identify potential COVID-19 cases using X-Ray images on a custom CNN architecture and interpreting the results through a confusion matrix.
Catheter Positioning Tool
A positioning tool created using Semantic Segmentation to identify the nerve structure in Ultrasound Images and find a safe spot to administer catheter.
Diet Monitoring System
A prototype that tracks the food habits of an animal so as to perform a comparative analysis with that of a healthy animal and deduce the reasons for its sickness.
Reddit Flair Detector
A web application used to detect flairs of r/india subreddit posts using different Machine Learning algorithms and identifying key features in the process.