Prajwal Bhaskar Bharadwaj

I am a Robotics Engineer at Paladin Drones (Y-Combinator S'18). I completed my M.S Robotics degree from Georgia Tech in May 2024.

During summer 2023, I worked as a Robotics Software Engineer Intern at Bastian Solutions where I developed a ROS-based Auto-tuning software for autonomous forklifts. I have 3 years of work experience at Caterpillar Inc in the Power Systems and Controls Division. I completed my Bachelor's in Mechanical Engineering at the National Institute of Technology Karnataka (NITK), India.

During my undergrad, I interned at Indian Institute of Technology Bombay under the guidance of Prof. Prasanna Gandhi, at Indian Institute of Space Science and Technology under Prof. Kurien Issac and at Mechanical Chef, a cooking-robot startup based in Bengaluru.

I am a recipient of the JN Tata Endowment Scholarship for the Higher Education of Indians, NITK Institute Merit Scholarship, JEE Mains Scholarship, JASSO Scholarship from Japan Government, and a winner of the e-Yantra National Robotics Competition.

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A wireless snake robot performing caterpillar, serpentine, sidewinding gaits.
Designed for rodent detection, fall recovery and rapid maneuvers.

8th International Engineering Symposium, Kumamoto University, Japan, 2019
Oral Presentation | Paper

Autonomous Take-off and Landing
Way-point following for multiple checkpoints
Precision Landing on chargers

Georgia Tech Mobile Robotics Lab

A quadruped robot driven by leadscrew coupled with RRRP four-bar mechanism.
Capable of walking, turning, step climbing and gradient ascent of 35%.

Implemented Guided-backprop, Saliency maps, and GradCam
to reason classification decisions - Quail and Dog
Style Transfer - Img 1: Tubinger Img 2: StarryNight
Img 3: Tubingen combined with StarryNight style

A machine capable of cooking Indian and Asian recipes.
Involved in development of ingredient dispensing systems and stirring arms.

Implementation of RRT, RRT* and RRT# and performance comparison.
Re-Plan and Re-Grow strategies when obstacle blocks current tree.
Research Paper

Implemented models for human-motion prediction on constrained systems
Comparable performance to baselines in FAIRMotion at reduced computational cost

Tracking obstacles using Laserscan and Pointcloud data
Manipulation of an object using MoveIt.
Mapping, Localization and Navigation using RViz

Usage of SIFT descriptor for matching key-points across images. Showing SIFT's
invariance to rotation, illumination, and scaling. Stitching based on keypoints.

Map exploration using frontiers and centroids (breadth-first search).
Usage of RRT for avoiding obstacles and PID Control for goal-marker following.

Usage of OpenGL and OpenMP to render and move objects in a scene.
Implemented collision-avoidance and varying brightness of objects.

Implemented path planning + state machine for obstacle avoidance.
More information here: Google Colab Notebook

Developed numerical models for Wave Theory and Corpuscular Theory of light.
Validated the two theories and showcased the bending of light through atmosphere.
Report

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