Hi! My name is
Dew Bhaumik
I enjoy insightful conversations, inspiring others, and bringing futuristic ideas to life!
Welcome!
Hey! I’m Dew, a Mechatronics Engineering student at the University of Waterloo. My goal in life is to change the world through innovation and futuristic technology. Aside from robotics and autonomous technology, my interests range from travelling to diverse countries, learning about various cultures, and sharing stories with passionate individuals, to my obsession of playing and discussing sports such as soccer, basketball, and MMA!
My love for robotics has led me to learn skills such as C++, Python, ROS2, OpenCV, and PyTorch. I’ve gained experience in fields such as Perception/Computer Vision, State Estimation, Motion Planning, and Controls through personal projects, design teams, and internships at some super cool companies!
My first work term was at Mission Control Space Services, a Space robotics company. In Spring 2023, our work landed on the Moon and we became the first company in the world to demonstrate deep learning AI in lunar orbit!
Previously, I worked an internship at Canadensys Aerospace on the Lunar Rover Team. As a GNC Robotics Software Engineer, I developed an obstacle detection/avoidance algorithm for Canada's first ever lunar rover. NASA will launch this rover to the moon in 2026!
Recently, I worked an internship at Impossible Metals on the Underwater Robotics team as a Robotics Software Engineer, focusing on Motion Planning and Controls. During that time, I was actively involved in advancing control systems—pioneering a Model Predictive Control system for AUVs, tuning a robust PID control system, and engineering a ROS2 based D* Lite motion planning algorithm!
Currently, I'm working an internship at Noah Medical, a surgical robotics company focusing on robotic bronchoscopy and medical imaging. As a Computer Vision & Navigation Software Engineer on the Imaging & Navigation team, I'm working on localization/state estimation and vision-based navigation with sensor fusion and machine learning!