BehaviorTree.CPP VS linorobot

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

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BehaviorTree.CPP linorobot
4 6
2,702 952
2.5% 1.3%
9.3 0.0
4 days ago 12 months ago
C++ C++
MIT License BSD 2-clause "Simplified" 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.

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.

linorobot

Posts with mentions or reviews of linorobot. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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

linorobot2 - Autonomous mobile robots (2WD, 4WD, Mecanum Drive)

navigation - ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

PX4-Autopilot - PX4 Autopilot Software

ardupilot - ArduPlane, ArduCopter, ArduRover, ArduSub source

carla - Open-source simulator for autonomous driving research.

webots - Webots Robot Simulator

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

GAAS - GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

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.