Biography
I am an aspiring roboticist interested in gaining hands-on experience with robots integrated with perception. I recently worked as a Research Assistant at the Perception and Robotics Group, addressing an object tracking problem for mobile robots. Additionally, I had the opportunity to work as a Research Intern at the Indian Institute of Technology (IIT) Bombay, where I contributed to the development of a novel docking mechanism to lock all six degrees of freedom of UAVs. My hands-on experience in building robots from scratch, involving tasks ranging from design to firmware development, was acquired during my undergraduate studies and through participation in robotics competitions like ABU Robocon. My interests encompass Autonomous Systems, Computer Vision, and Path Planning, and I am actively seeking full-time robotics roles starting in May 2024.
- Autonomous Systems
- Computer Vision
- Path Planning
- Control Systems
Masters in Robotics, 2024
University of Maryland
B.Tech in Mechatronics, 2022
NMIMS University
Experience
- Improving object mapping and reconstruction with a mobile robot using Next-Best-View (NBV) planning, utilizing deep learning and Gaussian splats to predict full models efficiently from partial views without assuming they are centered at the object’s center.
- Developing a autonomous mobile robot to explore and map a warehouse with ORB-SLAM2 pipeline using LiDAR, IMU, Depth Camera, Nvidia Jetson, and ROS2 to monitor carbon monoxide levels.
- Conceptualized and prototyped advanced electrical circuits for autonomous vehicles, seamlessly integrating sensors, actuators, and control systems, resulting in a significant 15% enhancement in vehicle efficiency.
- Created an RCNN-based object detection system, incorporating selective search, region proposal techniques, and multi-class support and demonstrated image classification capability on the ImageNet dataset.
- Researched and implemented DeepFit technique for fitting surface on event point cloud dataset.
- Built battery swapping mechanisms and integrated them with the UAV docking mechanism resulting in 45% less time to charge than most techniques.
- Developed firmware for a robust arresting mechanism to lock the UAVs in all six degrees of freedom.
- Researched nonlinear BLDC motor speed control methods and implemented a speed control algorithm based on sliding mode reaching law (SMRL) on MATLAB Simulink.
Projects
