Charanpreet Narula Email & Phone Number

Burnaby, BC, CA

Burnaby, British Columbia, Canada

Dubai, United Arab Emirates

1) Software Architecture for Autonomous Robots: Engineered the software architecture using a combination of Adaptive Monte Carlo Localization and model predictive control to navigate and interact within urban environments.2) Advanced Perception and Interaction Capabilities: Enhanced the robot’s perception and interaction modules using a combination of deep.

Vancouver, British Columbia, Canada

1) Path Planning Innovation: Developed a custom path planning solution using A* and D* search algorithms, tailored to the robot’s specific operational needs for efficient navigation in crowded areas.2) Simulation and Model Testing: Leveraged reinforcement learning in simulation environments like Gazebo to dynamically adjust the robot’s decision-making.

Riyadh, Saudi Arabia

1) Developed a smart product identification API using state-of-the-art CNN architectures likeDarkNet53 and Yolo Models, implemented a distributed computing environment using Hadoop and Spark for handling large-scale data.2) Implemented an AI-driven facial recognition system for employee registration using deeplearning models and advanced face recognition.

New Delhi, Delhi, India

1) Developed a cutting-edge lane detection system specifically designed for mobile robotics applications in dynamic and unpredictable environments. Using LSTM networks and complex sequence prediction algorithms, the system was adept at handling varied lighting and shadow conditions, significantly enhancing navigational reliability. The technology was.

Gurugram, Haryana, India

1) Autonomous Navigation for Cleaning Robots: Implemented SLAM algorithms with 3D LiDAR and RGB-D cameras to autonomously navigate and optimize cleaning paths for solar panel surfaces, significantly reducing manual oversight.2) Object Detection Using Deep Learning: Implemented CNNs to accurately identify and classify various objects on solar panels.

New Delhi, Delhi, India

During my tenure with Team Defianz Racing, I was instrumental in developing and deploying an advanced data acquisition system tailored for Formula Student competition vehicles. This role required integrating and harmonizing data from a diverse array of sensors, including accelerometers, IMUs, strain gauges, and temperature sensors, through the Labjack DAQ.

Master Of Engineering - Meng, Robotics And Control

MEng Final Project: Visual Inertial based State Estimation Using Landmark Detection

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering