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gtest-demo

Unit test demo using Google Test.

gusto.jl

Guaranteed Sequential Trajectory Optimization (GuSTO), using sequential convex programming for trajectory optimization with strong theoretical guarantees

h-obca

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

h-obca-1

Hierarchical Optimization-Based Collision Avoidance

hybrid-astar-planning

Hybrid A* Path Planning

hybrid_a_star

本仓库是对混合A*算法的matlab复现

hybrid_a_star-1

Hybrid A Star algorithm C++ implementation

hyp-despot

HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

indires_navigation

ROS packages for ground robot navigation and exploration

ipa_coverage_planning

Algorithms for floor plan segmentation and systematic coverage driving patterns

jerk_optimal_velocity_planning

json

JSON for Modern C++

lazy-theta-with-optimization-any-angle-pathfinding

learn-collisions

Code for learning to predict where collisions may occur in 2D occupancy maps from laser rangefinders.

leg_tracker

ROS Package for leg tracking using LaserScan data.

mathematica

Mathematica Packages

model-predictive-control

MPC in vehicle to track reference trajectory

motion-plan

深蓝运动规划课程

motionplanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

move_base_flex

Move Base Flex: a backwards-compatible replacement for move_base

moveit_task_constructor

A hierarchical, multi-stage manipulation planner and state machine with user interfaces

mpc

A software pipeline using the Model Predictive Control method to drive a car around a virtual track.

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.

mpclab_strategy_obca

arXiv 2011.00413: (ROS and Python package for the experiments on BARC) Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach.

multi_robot

Multirobot package to ROS and Turtlebot

mvtp_benchmark

mytest

navrep

neural-astar

Official implementation of "Path Planning using Neural A* Search" (ICML-21)