Name: Abishek Chandrasekhar
Type: User
Company: Indian Institute of Science
Bio: Doctoral student in Cyber-Physical systems
Specializing in the field of Applied Optimal Control Theory
Location: Bengaluru, India
Blog: abishek92.github.io
Abishek Chandrasekhar's Projects
A script for building IPOPT for Android. Prebuilt libraries included in the release section.
Modified Anki's SDK in order to implement Control techniques
ArduPlane, ArduCopter, ArduRover source
Simulink/Matlab based simulation framework for artificial pancreas controllers
A curated list of awesome Deep Learning tutorials, projects and communities.
:sunglasses: A curated list of robotics libraries and software
This project implements multiple-interval pseudospectral methods to solve optimal control problems.
Bayesian optimized physics-informed neural network for parameter estimation
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
Matlab and python files written using Casadi
Demonstrator Application for nfcreader API for CR95HF
Diabetes: test the Bluetooth Low Energy transmitters available for the FreeStyle Libre glucose sensor (Bubble, Droplet, MiaoMiao)
Read data from a FreeStyleLibre with Android
Glucometer access utilities
Custom Jupyter Notebook Themes
LaTeX utils including templates and bibs for papers and thesis.
Monitor your Freestyle Libre
Transmitter for the Freestyle Libre FGM system
Matlab/Octave code to simulate a Lorenz System
Given multiple timeseries from CGM data for a 2.5 hour window, our objective is to predict wheather the timeseries belongs to a meal intake or not.
A small class to interface with the NFC reader Module MFRC522
Python3 driver for MiaoMiao reader, a NFC-BTLE Freestyle Libre transceiver
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
Python wrapper for interfacing with the NXP EXPLORE-NFC shield for Raspberry Pi
NXP NFCRdLib Kernel BAL Module
not an artificial pancreas system, tools for exploring DIY openaps
Python codes for advanced control