vikingdai Goto Github PK

adaptive-control-final

Reinforcement learning applied in adaptive control to solve optimal control problem such as LQR

ardupilot

ArduPlane, ArduCopter, ArduRover source

ardupilot-chibios

Ardupilot port to ChibiOS Platform

auto-car-04-planning-01-trajectory-planning-robotics-approach

Trajectory planning for highway situation with classic robotics approach.

auto-park-goal-parking-spot

It contains all the main files which are used to start different actions like create map of the environment (Create_map.launch), initiate parking and un-parking of the robot, etc. You can directly run these files provided everything else is set up like SBPL Lattice Planner, ROS Serial, Hector Mapping and Hokuyo node. Please visit https://sites.google.com/site/mrsdproject201314teama/ for complete information

autonomous_vehicle

This is the repository of WPI autonomous team

autonomouscarai

A project on deep learning.

awe_mpc

Master Thesis Project - NMPC for Airborne Wind Energy

canopennode

CANopen stack base.

carlarider-udacity

Udacity Self Driving Car NanoDegree Final Project Repository that will run on Carla!

carnd-mpc-project

Sampled Data Nonlinear Model Predictive Control for steering a car in a simulator. Takes actuator delays into account.

carnd-t3-path-planning

carsimrl

Part of a research scholarship. I built a basic 2d driving sim with simulated lidar data to train Deep Q Neural Network. So far after about 300,000 iterations it converges on a 'better than random' policy for avoid stsatic obstacles, but it definitely needs some work

deep-rl-mountain-car

DQN based RL agent for Mountain Car

deep-theano-rnn-lstm-car

Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors

deepdrive

End-to-end simulation for self-driving cars

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

deertraining

drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at

drivegg

Deep Learning platform for self Driving Cars. uses GTA V as simulator

drl_based_selfdrivingcarcontrol

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

firmware

PX4 Pro Autopilot Software

frenet-serret-frames

Compute Frenet-Serret frames for a path of 3D points and tangents.

honours-mapf

Honours project on Multi-Agent Path Finding

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

humanoid

hybrid-a-star-u-turn-solution

Autonomous driving trajectory planning solution for U-Turn scenario

lmpc_simpleexample

mit-6.s094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

mpc

Contains simple MPC implementation with neural network learned dynamics.