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ggc_dae_to_urdf.py File Reference

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Namespaces

 ggc_dae_to_urdf
 

Functions

def ggc_dae_to_urdf.add_gazebo_nodes (robot, link_dict)
 
def ggc_dae_to_urdf.calc_inertia (collision, density=100.0)
 
def ggc_dae_to_urdf.get_bouding_box (geometries)
 
def ggc_dae_to_urdf.get_volume (geometries, density)
 
def ggc_dae_to_urdf.retrive_node (nodes, joints_dict, links_dict, parent=None)
 
def ggc_dae_to_urdf.write_control_file (joints_dict)
 
def ggc_dae_to_urdf.write_urdf_file (name, robot)
 

Variables

 ggc_dae_to_urdf.action
 
float ggc_dae_to_urdf.all_weight_ = 0.0
 
dictionary ggc_dae_to_urdf.ankle_p_mimic_pid = {'p': 500000.0, 'i': 500.0, 'd': 50000.0}
 
dictionary ggc_dae_to_urdf.ankle_pid = {'p': 100000000.0, 'i': 5000.0, 'd': 500000.0}
 
dictionary ggc_dae_to_urdf.ankle_r_mimic_pid = {'p': 100000000.0, 'i': 1000000.0, 'd': 50000.0}
 
 ggc_dae_to_urdf.args = parser.parse_args()
 
 ggc_dae_to_urdf.choices
 
dictionary ggc_dae_to_urdf.cover_pid = {'p': 50000.0, 'i': 500.0, 'd': 5000.0}
 
dictionary ggc_dae_to_urdf.crotch_p_pid = {'p': 400000000.0, 'i': 4000000.0, 'd': 500000.0}
 
dictionary ggc_dae_to_urdf.crotch_r_pid = {'p': 200000000.0, 'i': 1000000.0, 'd': 500000.0}
 
dictionary ggc_dae_to_urdf.crotch_y_pid = {'p': 200000000.0, 'i': 1000000.0, 'd': 500000.0}
 
 ggc_dae_to_urdf.default
 
dictionary ggc_dae_to_urdf.default_pid = {'p': 10000000.0, 'i': 500.0, 'd': 200000.0}
 
float ggc_dae_to_urdf.density = 1.22e2
 
int ggc_dae_to_urdf.depth_ = 0
 
dictionary ggc_dae_to_urdf.elbow_p_pid = {'p': 20000000.0, 'i': 1000.0, 'd': 40000.0}
 
dictionary ggc_dae_to_urdf.finger_pid = {'p': 100000.000000, 'i': 100.000000, 'd': 100.000000}
 
dictionary ggc_dae_to_urdf.gripper_pid = {'p': 100000.0, 'i': 100.0, 'd': 100.0}
 
dictionary ggc_dae_to_urdf.head_pid = {'p': 1000000.0, 'i': 500.0, 'd': 200000.0}
 
 ggc_dae_to_urdf.help
 
list ggc_dae_to_urdf.joints_
 
 ggc_dae_to_urdf.joints_dict = dict(joints_)
 
dictionary ggc_dae_to_urdf.knee_p_mimic_pid = {'p': 200000000.0, 'i': 1000000.0, 'd': 100000.0}
 
dictionary ggc_dae_to_urdf.knee_p_pid = {'p': 200000000.0, 'i': 1000000.0, 'd': 100000.0}
 
 ggc_dae_to_urdf.link_dict = dict()
 
 ggc_dae_to_urdf.mesh_ = Collada(args.input_file)
 
 ggc_dae_to_urdf.name_ = os.path.splitext(os.path.basename(mesh_.filename))[0]
 
 ggc_dae_to_urdf.parser = argparse.ArgumentParser()
 
 ggc_dae_to_urdf.robot_ = Robot(name=name_)
 
 ggc_dae_to_urdf.root_offset = numpy.array([[0, 0, 1, 0], [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 1]], dtype=numpy.float32)
 
float ggc_dae_to_urdf.scale_ = 0.1
 
dictionary ggc_dae_to_urdf.thrust_pid = {'p': 10000000.0, 'i': 500.0, 'd': 20000.0}
 
dictionary ggc_dae_to_urdf.torso_pid = {'p': 20000000.0, 'i': 10000.0, 'd': 1000000.0}
 
dictionary ggc_dae_to_urdf.wrist_pid = {'p': 100000.0, 'i': 50.0, 'd': 20000.0}
 
dictionary ggc_dae_to_urdf.zero_pid = {'p': 0.0, 'i': 0.0, 'd': 0.0}
 


gundam_rx78_description
Author(s): Association GUNDAM GLOBAL CHALLENGE, Kei Okada , Naoki Hiraoka
autogenerated on Wed Sep 2 2020 03:33:36