How to Install and Uninstall libdart-planning6 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 18,2024

Deprecated! Installation of this package may no longer be supported.

You can also install and uninstall the libdart-planning6 on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "libdart-planning6" package

Please follow the guidance below to install libdart-planning6 on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libdart-planning6
            
                    
    
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2. Uninstall "libdart-planning6" package

Please follow the instructions below to uninstall libdart-planning6 on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                libdart-planning6
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libdart-planning6 package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: libdart-planning6
Architecture: amd64
Version: 6.9.5-4build1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: dart
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 304
Depends: libc6 (>= 2.32), libdart6 (>= 6.9.5), libgcc-s1 (>= 3.3.1), liblz4-1 (>= 0.0~r130), libstdc++6 (>= 11)
Breaks: libdart6-planning (<< 6.9.5-1)
Replaces: libdart6-planning (<< 6.9.5-1)
Filename: pool/universe/d/dart/libdart-planning6_6.9.5-4build1_amd64.deb
Size: 113448
MD5sum: f688fa985dad7d68f8851f5e79708a70
SHA1: b9ff5028986856b199182433acdd6fcbafa7f488
SHA256: a8f66fc26715c15b5b59996d069f017b3a53bb833eb8134ccf185bc0af965243
SHA512: 14f08e57263b7ae1e7fd541b6e273d9b0e89fa26a5ccd872ec911ef7eb4a0bef5ad65ba05b9c3445ff1a54a41c273cdda803752b298e37781a7e56f1910039be
Homepage: http://dartsim.github.io/
Description-en: Kinematics Dynamics and Optimization Library - planning library
DART is a collaborative, cross-platform, open source library created by the
Georgia Tech Graphics Lab and Humanoid Robotics Lab. The library provides data
structures and algorithms for kinematic and dynamic applications in robotics
and computer animation.
DART is distinguished by it's accuracy and stability due to its use of
generalized coordinates to represent articulated rigid body systems and
computation of Lagrange's equations derived from D.Alembert's principle to
describe the dynamics of motion.
For developers, in contrast to many popular physics engines which view the
simulator as a black box, DART gives full access to internal kinematic and
dynamic quantities, such as the mass matrix, Coriolis and centrifugal forces,
transformation matrices and their derivatives. DART also provides efficient
computation of Jacobian matrices for arbitrary body points and coordinate
frames. Contact and collision are handled using an implicit time-stepping,
velocity-based LCP (linear-complementarity problem) to guarantee
non-penetration, directional friction, and approximated Coulomb friction cone
conditions. For collision detection, DART uses FCL developed by Willow Garage
and the UNC Gamma Lab.
DART has applications in robotics and computer animation because it features a
multibody dynamic simulator and tools for control and motion planning.
Multibody dynamic simulation in DART is an extension of RTQL8, an open source
software created by the Georgia Tech Graphics Lab.
This package contains the DART planning library.
Description-md5: b76e79a85f28ef52322dec0e0eaa3328