Developing high-quality Robotics Software using stacks like ROS/ROS 2 and Gazebo
I worked with the Computer Vision team at Scaler to produce the highest quality content in Data Science and Machine Learning. My work involved developing cool end-to-end real-world projects using State-Of-The-Art algorithms and architectures like YOLO and EfficientNet
My project involved integrating Computer Vision with ROS for performing pick-and-place operations on custom 3-D printed objects using a Cobot(Omron TM5-700). I developed a YOLOv5 based model for custom object-detection and used ROS-Moveit! for controlling the manipulator.
CGPA : 9.4
Percentage : 95.4 %
Percentage : 92.4 %