libdart-collision-ode6.13
Kinematics Dynamics and Optimization Library - ODE Collision 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.
libdart-external-imgui6.13
Kinematics Dynamics and Optimization Library - imgui lib
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.
python3-aiozipkin
Distributed tracing instrumentation for asyncio application with zipkin
aiozipkin is a Python module that adds distributed tracing
capabilities from asyncio applications with zipkin (http://zipkin.io)
server instrumentation.
libldaptive-java
simple, extensible Java API for interacting with LDAP servers
Ldaptive is a simple, extensible Java API for interacting with LDAP
servers. It was designed to provide easy LDAP integration for application
developers. Features include:
python3-parmed
parameter and topology file editor and molecular mechanical simulator
ParmEd is a package designed to facilitate creating and easily manipulating
molecular systems that are fully described by a common classical force field.
Supported force fields include Amber, CHARMM, AMOEBA, and several others that
share a similar functional form (e.g., GROMOS).
libdart-external-lodepng6.13
Kinematics Dynamics and Optimization Library - lodepng lib
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.