Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems
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Updated
Sep 20, 2023 - Jupyter Notebook
Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems
基于DWA算法和Astar算法的轮式机器人路径规划
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
基于ROS的自动驾驶仿真项目,使用DWA路径规划算法和双PID控制器ROS-based autonomous driving simulation project , using DWA path planning algorithm and dual PID controller
heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_n <= 100a'
Local Planner for ROS2
Simulation for DWA (Dynamic Window Approach) and modified DWA algorithms
The local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)
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 for Accelerated MR Reconstruction
Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI
A 2D navigation metapackage for AMR (Autonomous Mobile Robot)
The local planning algorithm for the Mirte Master robot.
Simulated and analyzed different path planning algorithms such as DWA and Dijkstra in a custom world modeled in Autodesk Fusion 360. The modeled world was imported to Gazebo, and the paths planned by turtlebot3 were visualized in Rviz.
Read Sewer Condition Data according to DWA-M 150 XML format
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