navigation VS BehaviorTree.CPP

Compare navigation vs BehaviorTree.CPP and see what are their differences.

navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else. (by ros-planning)
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navigation BehaviorTree.CPP
4 4
2,219 2,690
1.8% 2.5%
0.0 9.3
2 months ago 7 days ago
C++ C++
- MIT 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.

navigation

Posts with mentions or reviews of navigation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.

BehaviorTree.CPP

Posts with mentions or reviews of BehaviorTree.CPP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-22.

What are some alternatives?

When comparing navigation and BehaviorTree.CPP you can also consider the following projects:

ardupilot - ArduPlane, ArduCopter, ArduRover, ArduSub source

ros2_control_demos - This repository aims at providing examples to illustrate ros2_control and ros2_controllers

linorobot - Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)

webots - Webots Robot Simulator

carla - Open-source simulator for autonomous driving research.

turtlebot3_simulations - Simulations for TurtleBot3

champ - MIT Cheetah I Implementation

pros - Source code for PROS kernel: open source C/C++ development for the VEX V5 microcontroller

elevation_mapping - Robot-centric elevation mapping for rough terrain navigation

mcl_3dl - A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.