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d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

dataspeed_ulc_ros

dbw_mkz_ros

dbw_mkz_simulation

decision_making

deep-learning-book

MIT Deep Learning Book in PDF format

deep_nav_layers

A series of plugins to the ROS navigation stack to incorporate deep learning inputs.

denmpc

An event-based on-line adaptable fast nonlinear model predictive control framework

depth_nav_tools

Set of tools for mobile robot navigation with depth sensor

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dm_control

The DeepMind Control Suite and Package

drive_by_wire

dbw adas kits

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

dsl_gridsearch

ROS node for global path planning using D*-lite on a 2D or 3D grid.

dynamicpathfollowingrobot

This project explores making a wireless automatic guided robot which does not require any kind of intrusive modifications to be made to the environment, apart from installing an overhead camera. Generally environments that make use of automatic guided vehicles (AGVs) have to plan the path(s) where the robots should go before installing the tracks, like magnetic strips or metal tracks; this is an investment even before using the robots. If any change to the path(s) is required to be made, then more cost is incurred. In this paper a four wheeled differential drive robot has been controlled wirelessly to follow paths drawn on a graphical user interface within a workspace of 1.8m by 1.4m. The robot is controlled by correcting its orientation through visual feedback from a camera. Error analysis was performed to investigate how well the robot followed the path drawn. The estimated error of the robot is within a few centimeters of the path and can be reduced by modifying various thresholds.

electron

An autonomous deep learning indoor delivery robot made with Jetson

end-to-end-learning-for-self-driving-cars

An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn model https://arxiv.org/abs/1611.05418

epsilon

fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

formula1epoch

An autonomous R.C. racecar which detects people.

genesis_path_follower

MPC Path Follower for the Hyundai Genesis.

gerona

GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

how-to-learn-robotics

开源机器人学学习指南

humanoid_navigation

ROS stack with footstep planning and localization for humanoid robots: http://wiki.ros.org/humanoid_navigation

hypharos_minicar

1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller

ipopt

ipopt-1

COIN-OR Interior Point Optimizer IPOPT