forked from kevinzakka/mink
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathbiped_cassie.py
88 lines (70 loc) · 2.64 KB
/
biped_cassie.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
"""IK with two four-bar linkages on Agility Cassie."""
from pathlib import Path
import mujoco
import mujoco.viewer
from loop_rate_limiters import RateLimiter
import mink
from mink.lie import SE3
_HERE = Path(__file__).parent
_XML = _HERE / "agility_cassie" / "scene.xml"
def main():
model = mujoco.MjModel.from_xml_path(_XML.as_posix())
configuration = mink.Configuration(model)
tasks = [
pelvis_orientation_task := mink.FrameTask(
frame_name="cassie-pelvis",
frame_type="body",
position_cost=0.0,
orientation_cost=10.0,
),
posture_task := mink.PostureTask(model, cost=1.0),
com_task := mink.ComTask(cost=200.0),
]
# Note: By not providing `equality_name`, all equality constraints in the model
# will be regulated.
equality_task = mink.EqualityConstraintTask(
model=model,
cost=500.0,
gain=0.5,
lm_damping=1e-3,
)
tasks.append(equality_task)
feet = ["left-foot", "right-foot"]
feet_tasks = []
for foot in feet:
task = mink.FrameTask(
frame_name=foot,
frame_type="body", # Cassie uses body for feet, not sites.
position_cost=200.0,
orientation_cost=10.0,
lm_damping=1.0,
)
feet_tasks.append(task)
tasks.extend(feet_tasks)
com_mid = model.body("com_target").mocapid[0]
feet_mid = [model.body(f"{foot}_target").mocapid[0] for foot in feet]
model = configuration.model
data = configuration.data
solver = "quadprog"
with mujoco.viewer.launch_passive(
model=model, data=data, show_left_ui=False, show_right_ui=False
) as viewer:
mujoco.mjv_defaultFreeCamera(model, viewer.cam)
configuration.update_from_keyframe("home")
posture_task.set_target_from_configuration(configuration)
pelvis_orientation_task.set_target_from_configuration(configuration)
for i, foot in enumerate(feet):
mink.move_mocap_to_frame(model, data, f"{foot}_target", foot, "body")
data.mocap_pos[com_mid] = data.subtree_com[1]
rate = RateLimiter(frequency=200.0, warn=False)
while viewer.is_running():
com_task.set_target(data.mocap_pos[com_mid])
for i, foot_task in enumerate(feet_tasks):
foot_task.set_target(SE3.from_mocap_id(data, feet_mid[i]))
vel = mink.solve_ik(configuration, tasks, rate.dt, solver, 1e-1)
configuration.integrate_inplace(vel, rate.dt)
mujoco.mj_camlight(model, data)
viewer.sync()
rate.sleep()
if __name__ == "__main__":
main()