BIT-glimmer

BIT-glimmer's Stars

• xirong/my-git

  Individual collecting material of learning git（有关 git 的学习资料）

  7.4k483182.5k

• RobotLocomotion/drake

  Model-based design and verification for robotics.

  Language:C++3.3k1726.3k1.3k

• projectchrono/chrono

  High-performance C++ library for multiphysics and multibody dynamics simulations

  Language:C++2.2k116293467

• casadi/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.

  Language:C++1.7k563.3k384

• autodiff/autodiff

  automatic differentiation made easier for C++

  Language:C++1.6k43194172

• ros-planning/moveit

  :robot: The MoveIt motion planning framework

  Language:C++1.6k671.5k933

• ethz-adrl/control-toolbox

  The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

  Language:C++1.5k46137315

• dynamicslab/pysindy

  A package for the sparse identification of nonlinear dynamical systems from data

  Language:Python1.4k32364319

• ZJU-FAST-Lab/ego-planner

  Language:C++1.4k21104290

• geomstats/geomstats

  Computations and statistics on manifolds with geometric structures.

  Language:Jupyter Notebook1.3k38524250

• ZJU-FAST-Lab/ego-planner-swarm

  An efficient single/multi-agent trajectory planner for multicopters.

  Language:C++1.2k1967235

• nasa/astrobee

  NASA Astrobee Robot Software

  Language:C++1.1k63202312

• acados/acados

  Fast and embedded solvers for nonlinear optimal control

  Language:C81324319246

• RussTedrake/underactuated

  The course text for MIT 6.832 (and 6.832x on edX)

  Language:HTML74438156212

• lugh56/control-and-system-book

  textbook about control, robotics, system

  570310199

• coin-or/CppAD

  A C++ Algorithmic Differentiation Package: Home Page

  Language:C++4782911098

• RussTedrake/manipulation

  Course notes for MIT manipulation class

  Language:Jupyter Notebook4241767124

• gtrll/gpmp2

  Gaussian Process Motion Planner 2

  Language:C++312194398

• bakercp/PacketSerial

  An Arduino Library that facilitates packet-based serial communication using COBS or SLIP encoding.

  Language:C++275171858

• jgerstmayr/EXUDYN

  Multibody Dynamics Simulation: Rigid and flexible multibody systems

  Language:C++172125623

• araffin/arduino-robust-serial

  A simple and robust serial communication protocol. It was designed for Arduino but can be used for other purposes (e.g. bluetooth, sockets). Implementation in C Arduino, C++, Python and Rust.

  Language:C++1357628

• baddoo/piDMD

  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

  Language:MATLAB1299033

• ROBOTIS-GIT/OpenCR-Hardware

  BOM, Circuit and PCB Gerber of OpenCR

  11028258

• Jonas-Nicodemus/PINNs-based-MPC

  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable control actions or variable initial values. We thus present the idea of enhancing PINNs by adding control actions and initial conditions as additional network inputs. The high-dimensional input space is subsequently reduced via a sampling strategy and a zero-hold assumption. This strategy enables the controller design based on a PINN as an approximation of the underlying system dynamics. The additional benefit is that the sensitivities are easily computed via automatic differentiation, thus leading to efficient gradient-based algorithms. Finally, we present our results using our PINN-based MPC to solve a tracking problem for a complex mechanical system, a multi-link manipulator.

  Language:Python785520

• ros-teleop/teleop_twist_joy

  Simple joystick teleop for twist robots

  Language:C++751016195

• luckystarufo/multiscale_HiTS

  Language:Jupyter Notebook685017

• avigliotti/AD4SM.jl

  Automatic Differentiation for Solid Mechanics

  Language:Julia54458

• ShuoYangRobotics/equality-constraint-LQR-compare

  Language:C++42308

• AdamPurnomo/Extended-Lagrangian-SINDy-xL-SINDy-

  Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.

  Language:Jupyter Notebook80

• LTU-RAI/The_Slider-Low_Friction_Platform

  4300