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Udacity 学习项目

17-robotics-course icon 17-robotics-course

A very old slice of our code base I use in my robotics course. Future versions will be based on rai.

acados icon acados

Fast and embedded solvers for nonlinear optimal control

carnd-mpc icon carnd-mpc

use model planning controller to driver vehicle in the Udacity simulator (CarND term 2 project 5). A demonstration video can be found here: https://youtu.be/InBC-IXcrpg

carnd-p1-lane-lines icon carnd-p1-lane-lines

Project of Udacity's "Self-Driving Car Engineer" Nanodegree Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.

codes_led_calibration icon codes_led_calibration

Matlab codes for calibrating lighting (directional or (an)isotropic near point light source) using checkerboard

control icon control

PID controller, model predictive controller

control_toolbox icon control_toolbox

An advanced control library, written by researchers at the ADRL in ETH Zurich, Switzerland

cppprimer icon cppprimer

:books: Solutions for C++ Primer 5th exercises.

dmpc icon dmpc

Path Planning of Multi-UAS Communication Relay by Decentralized MPC Using a Comprehensive Aircraft Performance Model

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

enpm661-informed-rrt-star icon enpm661-informed-rrt-star

This repository contains the MATLAB code for the Sampling based algorithms RRT, RRT* and Informed RRT*. The project was done as a part of course ENPM661 Planning for Autonomous Robots in Spring 2018 semester at University of Maryland.

ext-saladict icon ext-saladict

Feature-rich inline translator. Chrome / Firefox Extension.

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

gtsam icon gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

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