I am an M.S. Robotics graduate from Georgia Tech and currently work as an engineer in the computer vision team at MathWorks. At Georgia Tech, I worked in the Robot Learning and Reasoning Lab advised by Dr. Danfei Xu. I completed my undergraduate degree at BITS Pilani where I majored in Electronics and
Instrumentation and was the recipient of the Innovator of the Year Award and the Prof. Suresh Ramaswamy Memorial Award. As part of my undergraduate thesis at the Autonomous
Robots Lab I developed a Resource-Aware algorithm for deployment of Visual Inertial Odometry algorithms on aerial vehicles with computationally constrained onboard systems advised by Prof. Kostas Alexis.
I am an avid aviation enthusiast and love building and flying quadcopters. Apart from aviation, I love reading, running, playing football, amateur photography and sketching.
Feel free to check out my
CV
and drop me an
e-mail
if you want to chat with me!
Completed undergraduate thesis at Autonomous Robots Lab advised by Prof. Kostas Alexis
[May'20]    
Interned at KPIT on Deep-Learning based multi-modal sensor fusion
[May'19]    
Completed Research Internship at CSIR-CEERI Pilani
EgoMimic: Scaling Imitation Learning via Egocentric Video [Paper][Website]
Simar Kareer, Dhruv Patel*, Ryan Punamiya*, Pranay Mathur*, Shuo Cheng, Chen Wang, Judy Hoffman, Danfei Xu
X-Embodiment Workshop, Conference on Robot Learning (CoRL) 2024
Neural Visibility Field for Uncertainty-Driven Active Mapping [Paper][Website]
Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024
Proactive Human-Robot Interaction using Visuo-Lingual Transformers and Object Interaction Graphs [Paper][Video][Poster][Best Paper Award] Pranay Mathur IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Geriatronics AI Workshop 2023
Sparse Image-based Navigation Architecture to Mitigate the
need of precise Localization in Mobile Robots [Paper] Pranay Mathur,
Rajesh Kumar,
Sarthak Upadhyay,
arXiv 2022
Resource-aware Online Parameter Adaptation for
Computationally-constrained Visual-Inertial Navigation Systems
[Paper][Video] Pranay Mathur,
Nikhil Khedekar,
Kostas Alexis,
IEEE-RAS International Conference on Advanced Robotics 2021
A Generalized Kalman Filter Augmented Deep-Learning based
Approach for Autonomous Landing in MAVs [Paper][Code][Best Paper Award] Pranay Mathur,
Yash Jangir,
Neena Goveas,
IEEE International Symposium of Asian Control Association on Intelligent
Robotics and Industrial Automation 2021
Multi-Sensor Fusion-Based Object Detection Implemented on
ROS [Paper][Code] Pranay Mathur,
Ravish Kumar,
Rahul Jain,
Springer International Conference on Machine Learning and Autonomous
Systems 2021
BCI Controlled Quadcopter using SVM and Recursive LSE
Implemented on ROS [Paper][Code] Kshitij Chhabra,
Pranay Mathur,
Veeky Baths,
IEEE International Conference on Systems, Man and Cybernetics 2020
Behavior-Cloning: A comparison of MLP, RNN and Diffusion-based policies for LfD
We propose learning a policy using human-play data - trajectories of humans freely interacting with their environment.
To bridge the embodimet gap, we experimented with multiple techniques such as aligning visual representations from DINOV2 + LoRA (Rein), mimimizing auxiliary KL Divergence
loss, masking the manipulator, co-training with robot play data
Contributed in building a Mars Rover that ranked 10 th of 25 teams in
the Indian Rover Challenge
Lead the communication sub-system and implemented a scheduling
algorithm to transmit
multiple camera and data feeds with minimal latency
Set up Communication Networks using the Ubiquiti Networks Platform and
automated
processes using BASH scripting in Linux
Engineering Development Group Engineer
| MathWorks
June '24 - present
Working with the Image Processing and Computer-Vision team on importing deep-learning models.
Engineering Development Group Intern
| MathWorks
May '23 - Aug' 23
Worked on feature enhancements in the Simulink Test Toolbox for the 2024a release
Resolved performance issues in C++ and MATLAB back-end in pre-existing features
Open-Source Developer
| Google Summer of Code
June '22 - Sept'22
Used OpenCV and EfficientDet to identify a track for an autonomous
vehicle to follow [Project][GitHub][Video]
Quantize and port model to TFlite for inference on Coral USB Accelerator
Graduate Engineer Trainee
| Addverb Technologies
August '21 - July '22
Worked on appearance-based Navigation of ground-based robots using
semantic-scene understanding
Integrated autonomous mobile-robots with 5G cloud-control based
capabilities
Deployed localization scoring and recovery method for augmenting LiDAR
based SLAM in mobile robots
Intern
| Technoyantra
January '21 - August '21
Developed a localization algorithm using EKF based fusion of pose
estimates from fiducial tags and LIDAR based SLAM [GitHub]
Implemented pipelines in ROS2 for Point Cloud segmentation, statistical
outlier removal and voxel filtering
Undergraduate Researcher
| Autonomous Robots Lab
July '20 - January '21
Developed a generalizable Resource-Aware algorithm for deployment of
Visual Inertial Odometry algorithms
on aerial vehicles with computationally constrained onboard systems
under the guidance of
Prof. Kostas Alexis[Video][Paper]
Contributed to Intel ISL Open3D and released two packages incorporated
into ROS-perception.
Presented the packages as a Lightning Talk at ROS-World 2020. [GitHub][Video]
Technical Intern
| KPIT
May '20 - July '20
Worked on Object Detection based on multi-modal sensor fusion using 3D
LIDAR, monocular camera and
a RADAR [Paper]
Developed a novel algorithm for detection of vehicles and pedestrians
implemented using tensorflow
and ROS [GitHub]
Research Intern | CSIR-Central Electronics Engineering Research
Institute
May '19 - July '19
Implemented RTAB-Map SLAM for Autonomous Navigation of Quadcopters using
PX4 and ROS in visually-degraded GPS denied environments using an RGBD
camera
Implemented multi-modal sensor fusion and image noise-removal through
classical image processing pipelines under the guidance of Dr. S. A.
Akbar, Chief Scientist CEERI Pilani, India
Research Assistant | BITS Pilani
Aug '19 - Dec '19
Worked with Prof Neena Goveas on a supervised approach
for MAV landing using EKFs. Published in IEEE IRIA 2021 and received the Best Paper
Award.
Developed a SVM based EEG classification approach to control a quadcopter for 3D reconstruction
and exploration advised by Prof Veeky Baths. Published in IEEE SMC 2020.