optimization/py-crocoddyl

Optimal control library for robot under contact sequence
Directory:
optimization/py-crocoddyl (package's history)
Package version:
py27-crocoddyl-1.2.1r3
Home page:
https://github.com/loco-3d/crocoddyl
License:
2-clause-bsd
Source archive:
ftp://ftp.openrobots.org/pub/openrobots/crocoddyl/crocoddyl-1.2.1.tar.gz
http://www.openrobots.org/distfiles/crocoddyl/crocoddyl-1.2.1.tar.gz
Description:
Contact RObot COntrol by Differential DYnamic programming Library. Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on an efficient Differential Dynamic Programming (DDP) algorithm. Crocoddyl computes optimal trajectories along to optimal feedback gains.
Run dependencies:
assimp>=2.0, boost-libs>=1.34.1, boost-libs>=1.34.1, boost-libs>=1.34.1, boost-libs>=1.34.1, boost-libs>=1.34.1, example-robot-data>=3.2.0, hpp-fcl>=1.4, libstdc++, octomap>=1.6.0, pinocchio>=2.3<3.0.0, py27-eigenpy>=1.6.12, py27-example-robot-data>=2.0.0, py27-numpy>=1, py27-pinocchio>=2.0.0<3.0.0, py27-quadprog>=0.1.6, py27-scipy>=0.17.0, python27>=2.7<2.8, tinyxml>=2, urdfdom>=0.2.8
Build dependencies:
boost-headers>=1.34.1, cmake>=3.1.0, digest>=20080510, eigen3>=3.0.0, g++>=4.8, gcc>=3, patch>=2.0, pax, pkg-config>=0.22, pkg_install>=20110805.9, tnftp>=20091122
General options:
debug
Produce debugging information for binary programs
c++-compiler alternatives:
g++
Use the GNU C++ compiler
clang++
Use the LLVM C++ compiler
ccache-g++
Use ccache and the GNU C++ compiler
ccache-clang++
Use ccache and the LLVM C++ compiler
c-compiler alternatives:
gcc
Use the GNU C compiler
clang
Use the LLVM C compiler
ccache-gcc
Use ccache and the GNU C compiler
ccache-clang
Use ccache and the LLVM C compiler
python alternatives:
python27
Use python-2.7
python34
Use python-3.4
python35
Use python-3.5
python36
Use python-3.6
python37
Use python-3.7
python38
Use python-3.8