Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

A robust sensor fusion library for online localization.

Software repository for estimating human dynamics

C-library with implementation of the Induction Motor rotor speed anf flux estimators (observers)

Robot payload estimation, based on: C. G. Atkeson, C. H. An, and J. M. Hollerbach, “Estimation of Inertial Parameters of Manipulator Loads and Links,” Int. J. Rob. Res., vol. 5, no. 3, pp. 101–119, Sep. 1986

Neyman–Pearson Detector (NPD) for saccadic eye movements

Code/Examples for A New Approach to Robust Estimation of Parametric Structures

DiTEC research

RadEst is a repo for atmospheric parameters estimation using Optimal Estimation (PyOptimalEstimation) and onboard radiometer observations.

Adaptive Model Predicitive Control - Matlab

Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:

A real-time camera based respiration rate estimator algorithm for neonatal records

Code for "On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems", APSIPA ASC, Taipei, Taiwan, Nov. 2023

An implementation of an Unscented Kalman Filter (UKF) for parameter identification on MATLAB.

University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.

Signal-dependent noise estimator

• Attitude Estimation based on Extended Kalman Filtering method. • Gyro bias estimation to improve the robustness of the algorithm. • Attitude prediction to be done using gyro output. • Attitude is updated using accelerometer and magnetometer output.

Precise Point Positioning (PPP) is an advanced technique for absolute positioning using Global Navigation Satellite Systems (GNSS) with a single receiver. This approach relies on precise satellite orbit and clock information to achieve centimeter-level positioning accuracy. In this project, we process 4 hours of observation data from a Javad receiv

This Repository contains projects from Robotics specialization- Estimation and Learning from Coursera offered by the University of Pennsylvania- Instructor: Prof. Daniel Lee

Underwater Vehicle Localisation using Extended Kalman Filter