dwa

Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems

[ZJU Robotics Project] DWA and Astar algorithms for wheeled-robot path planning

The Dynamic Window Approach (DWA) planning algorithm written in C with Python Bindings

AUTONOMOUS ROBOT NAVIGATION USING ROS Clearpath Husky A200 robot with Gazebo and RViz simulations using different SLAM and Path Planning algorithms. 360 degrees laser scan with two SICK LMS511 LIDARs

Classical robotics algorithms implemented in C++17.

Heavy rainfall intensity as a function of duration and return period is defined according to DWA-A 531 (2012). This program reads rainfall measurement data and calculates the distribution of design rainfall as a function of both return period and duration, for durations up to 12 hours (and beyond) and return periods in the range 0.5 a ≤ Tₙ ≤ 100 a.

This work investigates automatic hyperparameter tuning for planners such as DWA and TEB, and our navigation framework LE-Nav can be used to adjust hyperparameters of any optimization-based planner.

Simulation for DWA (Dynamic Window Approach) and modified DWA algorithms

Local Planner for ROS2

The local planner used in our paper 'ODS-Bot: Mobile robot navigation for Outdoor Delivery Services'

🍻 A pub quiz web application built using the MERN stack with websockets for near real-time quiz action

Complete ROS2 navigation and exploration system with multiple advanced algorithms: - Bidirectional A* path planning - DWA local planner for real-time obstacle avoidance - RRT exploration strategy - PID motion control - Comprehensive English documentation - Performance optimization guidelines - GitHub-ready project structure

Autonomous Navigation of a Skid-Steering Mobile Robot in Human Present Environment

Multi-Task Learning for Accelerated MR Reconstruction

This repo is multi-robot motion planner framework which uses CCBS as a global planner to determine non-collision paths for all robots. The paths are sent to local planners which determine the path segment for robots to follow. The packages work on ROS and Gazebo.

Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI

A custom-built **Dynamic Window Approach (DWA) local planner** for TurtleBot3 in **ROS2 Humble**, designed to work in Gazebo simulation. It computes real-time velocity commands using laser scan and odometry data, visualizes evaluated trajectories in RViz2, and operates without relying on Nav2 plugins.

A 2D navigation metapackage for AMR (Autonomous Mobile Robot)

Comparative benchmark of 14 representative path-planning algorithms with multi-scenario visualization and GIF demos in Python.

From-scratch 2D autonomous navigation stack in modern C++ — A* global planning, a collision-free DWA local planner, frontier-based exploration of unknown mazes, and a browser visualizer. Zero dependencies.