Computational Mathematics course final project

Jacobian and Hessian of a vector function.

Implementing the extended Kalman filter in C++ for Self Driving cars.

A mathematic implementation in c++

Assignments for MA209 Numerical Methods course at NITK Surathkal

Robot Tool Calibration of an Active Pen with Python using an Enabled Surface from Anoto Technology

Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.

Simulation tool for PVs

Implementation of several numerical algorithms

Forward and Inverse Kinematics for Robotic Manipulator

Code for implementing and experimenting with cooperative manipulation controllers. Includes a controller based on a novel extended relative Jacobian formulation.

Color Jacobian matrices for faster numerical evaluation

Jacobian Inverse Kinematic using Automatic Differentiation

Kinematic analysis of KUKA LBR iiwa 7DOF manipulator

Repo containing several simulations I performed with Matlab during my M.S in Chemical Engineering at N.C State University

Used Similiarity-Based Recommender (Jacobian) and Latent Factor Recommendation Model to Make Game Recommendations and Predict Ratings

A Kalman Kilter is used to estimate the state of a moving object of interest with noisy lidar and radar measurements. RMSE values are lower than a specified tolerance.

Efficient Jacobian calculation

State Estimation of a 3D Quad with the use of Bayes Rules (Extended Kalman Filter)