
Age Prediction from Image!
The aim of this project was to predict the age of a person from the image.
The aim of this project was to predict the age of a person from the image.
The aim of this project is to learn the visual Odometry pipeline. Current implementation includes feature detection, feature tracking and Pose estimation using only mono-camera.
The aim of the project was to detect and localization of Transparent Globe. For that we explred feature based techniques as well as SOTA DL based Faster R-CNN.
Object tracking method uses Kalman filter which has constant velocity motion model and shape detection based measurement model
The goal of this excercise was to know about the Gold-standard algorithms for camera calibration. To show the application of calibrated camera AR object is placed on a chessboard.
The goal of this mini-project is to implement Dijkstra, A* and A* variants from scratch. Any time variant ANA* refines the path quality in each iteration as shown in the gif.
We desingned and developed SCARA Robot for custom application. 3D printing, and frameworks such as merlin and repetier were explored and integrated.
The goal of this project was to learn how to use OpenCV ready algorithms such as Haar cascade for facial recognition
RRT and family is helpful in path planning in higher dimensions especially for redundunt manipulators and multi-DOF mechanisms. Implemented RRT and its variants such as RRT* and informed RRT*. RRT* refines the path quality in each iteration as shown in the gif.
The aim of this project was to optimize the pick and place operation of the robotic arm based on the physical features of the objects.
Developed Pan-tilt motion module, which was optimized for less inertial and rigidity and all motors are mounted on base!!
Developed Pan-tilt motion module, which was optimized for less inertial and rigidity and all motors are mounted on base!!
I am a graduate student student at Worcester Polytechnic Institute. My interest lies in Computer vision especially for mobile robots and autonomous vehicles. Autonomous mobility is a challenge of our generation and I want to contribute to the community in achieving this milestone. My courseworks and projects are also aligned towards my goals.
I have hand-on experience of using various sensors, controllers such as Lidar, Kinect, Zed(Stereo Camera), IMU, Encoder, Arduino, Nvidia TX1.
I always to gain the knowledge from many verticles which is extremely crucial for robotics. I have sound experience of Robotic system development starting from conception to fabrication to electionics to application related programming.