|
| 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} |
|