Heuristic_path_planners
Collection of classes and functions to allow 2D/3D path generation with heuristic algorithms such as A*, Theta* and LazyTheta* and ROS Interfaces (by robotics-upo)
diffbot
DiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B. With its SLAMTEC Lidar and the ROS Control hardware interface it's capable of navigating in an environment using the ROS Navigation stack and making use of SLAM algorithms to create maps of unknown environments. (by ros-mobile-robots)
| Heuristic_path_planners | diffbot | |
|---|---|---|
| 1 | 1 | |
| 64 | 266 | |
| - | 4.9% | |
| 0.0 | 3.8 | |
| 2 months ago | about 1 month ago | |
| C++ | C++ | |
| MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Heuristic_path_planners
Posts with mentions or reviews of Heuristic_path_planners.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-02.
diffbot
Posts with mentions or reviews of diffbot.
We have used some of these posts to build our list of alternatives
and similar projects.
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Question
I personally went through the hardest way possible and built my robots from scratch and it took 11 years and 3 degrees (BCs, MCs, PhD), but you don't need to go the same way. You can find some kit (for example https://github.com/ros-mobile-robots/diffbot) and start learning linux, bash, C++, Python, ROS, vehicle dynamics, computer vision, soldering and mechanical skills trying to keep this thing alive. It might sound too hard or even impossible, but solving the actual problems of your tiny robot and watching how it's making its first steps would motivate you to push forward. Also you will anyway learn a lot of skills that you will help you in the future.
What are some alternatives?
When comparing Heuristic_path_planners and diffbot you can also consider the following projects:
ifopt - An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
my_ROS_mobile_robot - Differential drive mobile robot using ROS.
mars_ros - A ROS wrapper for the MaRS Library
abb_robot_driver - The new ROS driver for ABB robots
xflrpy - xflrpy is a python enabled version of xflr5 for scripting and design optimization.
tensorflow_cpp - Helpful model wrappers around TensorFlow C++ API
CppRobotics - Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
semantic_slam - Real time semantic slam in ROS with a hand held RGB-D camera
Mazes - C++ Maze Visualizer supporting orthogonal, hexagonal, and Voronoi diagram grids.
Heuristic_path_planners vs ifopt
diffbot vs my_ROS_mobile_robot
Heuristic_path_planners vs mars_ros
diffbot vs abb_robot_driver
Heuristic_path_planners vs xflrpy
diffbot vs tensorflow_cpp
Heuristic_path_planners vs CppRobotics
Heuristic_path_planners vs semantic_slam
Heuristic_path_planners vs Mazes