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lyushuli's Projects

a-star icon a-star

PR homework including Astar algorithm

agile_autonomy icon agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

brain-interface icon brain-interface

PR(homework) including SVM, bayes, KNN, MLP, decision tree, forest and CNN

dsp icon dsp

ROS package for D*+ 2D and 3D path planner, using cartographer and octomap as maps respectively.

eband_local_planner icon eband_local_planner

ROS Local planner based on the eband approach. Based on the original implementation by Christian Connette and Bhaskara Marathi. This local planner has been adapted primarily for differential drive robots, but still supports the original holonomic drive controls.

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

learningmpc icon learningmpc

Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.

matlab_motion_planning icon matlab_motion_planning

Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA etc.

mpc_local_planner icon mpc_local_planner

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

mpcc icon mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

mpl_ros icon mpl_ros

A ROS wrapper for trajectory planning based on motion primitives

neural_clbf icon neural_clbf

Toolkit for learning controllers based on robust control Lyapunov barrier functions

ros_autonomous_slam icon ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle

ros_motion_planning icon ros_motion_planning

Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA etc.

teb_local_planner icon teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

uav_simulator icon uav_simulator

Python - Gazebo Simulation Environment for a UAV with Geometric Control

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