Harsh Chhajed HarshChhajed-3010

Hello World! I'm Harsh Chhajed 👋🏼

"Innovating at the intersection of robotics, IoT, and machine learning to solve real-world challenges."

Currently pursuing a Master of Science in Robotics at Worcester Polytechnic Institute, with a focus on autonomous systems, machine learning, and sensor fusion.
Holds a Bachelor of Technology in Electronics & Communication from CHARUSAT University, with strong foundations in IoT, digital electronics, and embedded systems.
Developed innovative projects such as a machine learning-based sensor fusion system for a robotic manipulator and a six-wheeled autonomous rover with advanced obstacle detection.
Published research in renowned IEEE conferences and journals, contributing to advancements in robotics and IoT-based solutions.
Passionate about bridging cutting-edge technology with practical applications, driving forward the fields of robotics, embedded systems, and IoT innovation.

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Make Your Robot Tick Competition (Winners #1 )
Led the development of an autonomous robot using advanced machine learning and computer vision techniques, securing top honors and significant funding.
ROBOFEST 3.0 Competition
Directed a team to create a 6x6 autonomous rover with sophisticated obstacle avoidance and YOLOv8-based detection, achieving a top 17 finish among 150+ teams and winning a ₹250,000 award.

IEEE SEEDA 2024
"Gesture Dependable Robotics ARM Movement: ROS and Machine Learning Perspective"
IEEE GCITC 2023
"AI-Enhanced Quad-Wheeled Robot for Targeted Plant Disease Surveillance in Greenhouses"
ADCIS SCRS 2023
"IoT System for Monitoring Sensors’ Data using Arduino Mega-WIFI Firebase"

Worcester Polytechnic Institute (WPI)

Foundations of Robotics, Machine Learning, Robot Dynamics, Robot Control, Motion Planning, Computer Vision

CHARUSAT University

Embedded Systems, Digital Image Processing, IoT, Digital Electronics, Control Systems, VLSI, Design Testing & Verification

RoboFusion – Robot Manipulator
Developed a machine learning-based sensor fusion system for a 4 DOF robotic arm, integrating ROS2 with MediaPipe and MPU6050 sensors for precise, gesture-controlled manipulation.
Rover Sentinel
Engineered a six-wheeled autonomous rover using NVIDIA Jetson Xavier and GPS, achieving 93% real-time obstacle detection accuracy with YOLOv8 and integrating IoT-enabled fire detection for campus safety.
Semi-Autonomous Agricultural Robot
Designed a 4x4 mobile robot for real-time plant disease detection using computer vision and machine learning, coupled with an IoT dashboard to reduce manual labor by 30%.
Biometric Attendance System
Created a cost-effective IoT fingerprint attendance solution with Firebase and ESP32, featuring cloud-based data storage and custom 3D-printed enclosures for motors and sensors, improving attendance tracking efficiency by 40%.