caoyongfeng

caoyongfeng's Stars

• gaoxiang12/slambook2

  edition 2 of the slambook

  Language:C++5.5k692942k

• rll/rllab

  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

  Language:Python2.9k163183799

• alecjacobson/gptoolbox

  Matlab toolbox for Geometry Processing.

  Language:MATLAB62742112169

• dynamicslab/databook_matlab

  Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

  Language:MATLAB265104102

• navis-org/skeletor

  Extraction of 3D skeletons from meshes.

  Language:Python21035126

• JohnDTill/ContinuumRobotExamples

  An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.

  Language:C++14981447

• arbabiha/KoopmanMPC_for_flowcontrol

  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

  Language:MATLAB1188144

• leomariga/Simulink-Arduino-Serial

  How to connect Arduino and Simulink

  956415

• ZacharyTaylor/Camera-to-Arm-Calibration

  Matlab toolbox for finding the transformation from a camera to a robotic arms base

  Language:Matlab794433

• hengguan/Hand-Eye-Calibration-Matlab

  hand eye calibration include eye on hand and eye in hand

  Language:MATLAB613523

• ramvasudevan/soft-robot-koopman

  Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.

  Language:MATLAB603016

• cuixing158/yoloX-yoloV5-onnx-matlab

  Simple reasoning code, just run demo.mlx

  Language:MATLAB44356

• SvenLilge/tdcr-modeling

  Language:C++422217

• mwagner9/BEGPUThinning

  Language:Cuda2710

• qian256/ur5_setup

  Complete and simple guide on setting up the interface between a UR5 and a PC

  Language:MATLAB27319

• IEEEIHUSerres/EPOS4MATLAB

  Commanding Maxon EPOS 4 Motor Controller(s) from MATLAB

  Language:C19236

• nimasarli/snake_visualization

  visualizes a 3-segment continuum robot by receiving configuration through udp or GUI input

  Language:C++19314

• lara-unb/APIs-NDI-Digital

  APIs for NDI Digital Systems (Polaris and Aurora)

  Language:MATLAB181209

• xumzsy/UR5-Controller-Matlab-API

  Provide Matlab API to Universal robots

  Language:Matlab121

• wjstewart/Spectral-Profile-Tracking

  MATLAB scripts used to track spectral shifts in multiplexed fiber Bragg gratings

  Language:Matlab112

• awiles/ErrorAnalysisToolkit

  Tools to examine image registration and tracking errors.

  Language:Matlab106

• brennankoopman/MTE204_Robot_Arm_Control

  This is a numerical methods project, testing out the Jacobian transpose or Inverse Method for robot arm pathing and control

  Language:MATLAB92

• ParkerEwen5441/Nonlinear-System-Identification-for-Dubins-Car-Model

  A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al to identify the nonlinear model of Dubins' car.

  Language:MATLAB9202

• HMILab/HandsOnSEA

  HandsOn-SEA: An Educational Robot for Series Elastic Actuation

  Language:MATLAB43

• PratikAghor/reaction_diffusion_pattern_formation

  This folder contains codes I wrote for my undergraduate thesis. 'schnackenberg_final.edp' is a freefem++ file which takes the Schnackenberg reaction diffusion system and does time marching using fractional step method. It then uses the final steady state of the time marching as the initial condition for Newton-Raphson iterations. The solution quickly converges, confirming that the steady state was indeed reached. Some MATLAB scripts are written to block diagonalize the Jacobian matrix that comes out of the Newton-Raphson iterations from 'schnackenberg_final.edp'. J is the Jacobian matrix used for Newton-Raphson iteration. JStar is the Jacobian in the symmetry adapted basis . RMatrix builds a matrix R such that JStar = R'JR; To build R, i.e., to go to the symmetry adapted basis, we need to use a bit of group represenation theory. For details, check the full documentation herewith. If you are just interested in the bigger picture, read the file 'numerical continuation and bifurcation in the presence of symmetry (2014).pdf'. This was presented at the 'Conference on Computational PDE, Finite Element Meet 2014', TIFR-CAM, Bengalore.

  Language:Matlab4000

• AmyangXYZ/SimulinkTCPClient

  Customized TCP/IP Client block for Simulink, supports Rapid Accerlater mode!

  Language:C2101

• WillekeTraa/GIBBON

  The Geometry and Image-Based Bioengineering add-On for MATLAB

  2

• cnanders/matlab-ascii-comm

  MATLAB ASCII Comm Wrapper For Serial and Tcpclient

  Language:MATLAB1300

• HarrisonHandley/Inverted-Pendulum

  Inverted Pendulum Project

  Language:C1200

• ScottyChung/FBGSensing

  Language:MATLAB1100