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Mikhail Katliar's Projects

abb_libegm icon abb_libegm

A C++ library for interfacing with ABB robot controllers supporting Externally Guided Motion (689-1)

abb_librws icon abb_librws

A C++ library for interfacing with ABB robot controllers supporting Robot Web Services

acado icon acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

aoc2018 icon aoc2018

Advent of Code 2018 solutions https://adventofcode.com/2018

casadi icon casadi

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.

hpmpc icon hpmpc

Library for High-Performance implementation of solvers for MPC.

joystick icon joystick

A minimal C++ object-oriented API onto joystick devices under Linux

mdm icon mdm

Mapping Dark Matter challenge

mexcpp icon mexcpp

Help C++ developers to write MATLAB/Octave mex-files

nanokalman icon nanokalman

Very minimal implementation of Kalman filter in Python

omsf icon omsf

Software for optimizing motion simulator trajectories and parameters

organicmaps icon organicmaps

🍃 Organic Maps is a better fork of MAPS.ME, an Android & iOS offline maps app for travelers, tourists, hikers, and cyclists based on top of crowd-sourced OpenStreetMap data and curated with love by MAPS.ME founders. No ads, no tracking, no data collection, no crapware.

pinocchio icon pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

qpdunes icon qpdunes

qpDUNES - an implementation of the DUal NEwton Strategy for quadratic programming

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