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import math
import torch
import numpy as np
import omni.usd
from omni.kit.scripting import BehaviorScript
from isaacsim.core.prims import Articulation
from omni.isaac.core.prims import XFormPrim
from isaacsim.core.utils.types import ArticulationActions
from pxr import UsdPhysics
def find_prim_path_by_name(prim_name: str, root_path: str = "/") -> str:
"""Recursively find the full path by Prim name"""
stage = omni.usd.get_context().get_stage()
prim = stage.GetPrimAtPath(root_path)
def _find_prim(current):
if current.GetName() == prim_name:
return current.GetPath().pathString
for child in current.GetChildren():
result = _find_prim(child)
if result:
return result
return None
found_path = _find_prim(prim)
if not found_path:
raise RuntimeError(f"Prim '{prim_name}' not found under {root_path}")
return found_path
POSSIBLE_ASSET_ROOT_NAMES = ["oven_E_body_7"]
JOINT_NAMES = ["PrismaticJoint_oven_down", "RevoluteJoint_oven_up"]
LIGHT_PRIM_NAME = "oven_light"
BUTTON_PRIM_NAME = "oven_E_button_5"
REVOLUTE_JOINT_NAME = "RevoluteJoint_oven_up"
STIFFNESS_MAX = 0.8
STIFFNESS_MIN = 0.08
BUTTON_PRESS_THRESHOLD = -0.001
DOOR_OPEN_ANGLE_1 = math.radians(-50)
DOOR_OPEN_ANGLE_2 = math.radians(-78)
DOOR_OPEN_THRESHOLD = math.radians(-30)
DOOR_CLOSE_THRESHOLD = math.radians(-20)
DOOR_CLOSED_THRESHOLD = math.radians(5)
DOOR_ANGLE_TOLERANCE = math.radians(0.5)
class MicrowaveOverControl(BehaviorScript):
def on_init(self):
articulation_root_path = None
for root_name in POSSIBLE_ASSET_ROOT_NAMES:
try:
articulation_root_path = find_prim_path_by_name(root_name)
print(f"Found articulation root: {articulation_root_path}")
break
except RuntimeError:
continue
if articulation_root_path is None:
raise RuntimeError(f"Could not find articulation root with names: {POSSIBLE_ASSET_ROOT_NAMES}")
self.articulation_root_path = articulation_root_path
self.art = None
self.initialized = False
self.joint_names = JOINT_NAMES
self.joint_indices = None
self.use_torch = None
self.light_scopes = [XFormPrim(find_prim_path_by_name(LIGHT_PRIM_NAME))]
self.light_scopes[0].set_visibility(False)
self.Stiffness_max = STIFFNESS_MAX
self.Stiffness_min = STIFFNESS_MIN
self.door_locked = True
self.button_prim = XFormPrim(find_prim_path_by_name(BUTTON_PRIM_NAME))
print("button_prim", self.button_prim.prim_path)
self.local_pose_button, self.local_ort_drawer_down = self.button_prim.get_local_pose()
stage = omni.usd.get_context().get_stage()
revolutejoint_path = find_prim_path_by_name(REVOLUTE_JOINT_NAME)
self.revoluteJoint_drive_path = stage.GetPrimAtPath(revolutejoint_path)
self.revoluteJoint_drive = UsdPhysics.DriveAPI.Get(self.revoluteJoint_drive_path, "angular")
def on_play(self):
self._initialize_articulation()
def on_stop(self):
self.light_scopes[0].set_visibility(False)
self.door_locked = True
if self.revoluteJoint_drive:
self.revoluteJoint_drive.GetStiffnessAttr().Set(self.Stiffness_max)
carb.log_info(f"{type(self).__name__}.on_stop()->{self.prim_path}")
def on_update(self, current_time: float, delta_time: float):
if delta_time <= 0:
return
if not self.initialized:
self._initialize_articulation()
if not self.initialized:
return
self.apply_behavior()
def apply_behavior(self):
if not self.initialized or self.art is None:
return
self.oven_control()
def _initialize_articulation(self):
"""Initialize the articulation object and get joint information"""
if self.initialized:
return
try:
self.art = Articulation(self.articulation_root_path)
if self.art is None:
return
# Get joint indices
self.joint_indices = []
for joint_name in self.joint_names:
idx = self.art.get_dof_index(joint_name)
if idx is not None:
self.joint_indices.append(idx)
else:
print(f"Warning: Could not find joint index for {joint_name}")
if not self.joint_indices or len(self.joint_indices) < 2:
print("Warning: No valid joint indices found")
return
# Detect if using torch
positions = self.art.get_joint_positions()
self.use_torch = isinstance(positions, torch.Tensor)
print(f"Detected platform: {'Isaac Lab (torch)' if self.use_torch else 'Isaac Sim (numpy/math)'}")
self.initialized = True
except Exception as e:
print(f"Error initializing articulation: {e}")
self.initialized = False
def _get_scalar_value(self, value):
"""Convert a value (potentially a torch.Tensor) to a scalar float"""
if isinstance(value, torch.Tensor):
return value.item()
elif isinstance(value, (list, tuple, np.ndarray)):
return float(value[0] if len(value) > 0 else 0.0)
else:
return float(value)
def oven_control(self):
positions = self.art.get_joint_positions().squeeze()
button_state = self._get_scalar_value(positions[self.joint_indices[0]])
door_state = self._get_scalar_value(positions[self.joint_indices[1]])
targets = []
indices = []
# 按钮被按下且门处于锁定状态
if button_state < BUTTON_PRESS_THRESHOLD and self.door_locked:
targets.append(DOOR_OPEN_ANGLE_1)
indices.append(self.joint_indices[1])
# 门开到30度后开灯,按钮归位
if door_state < DOOR_OPEN_THRESHOLD:
self.door_locked = False
self.light_scopes[0].set_visibility(True)
targets.append(0.0)
indices.append(self.joint_indices[0])
else:
# Keep button target
targets.append(button_state)
indices.append(self.joint_indices[0])
# 门到达第一个目标角度后,继续开到第二个角度
if abs(door_state - DOOR_OPEN_ANGLE_1) < DOOR_ANGLE_TOLERANCE:
targets.append(DOOR_OPEN_ANGLE_2)
indices.append(self.joint_indices[1])
if self.revoluteJoint_drive:
self.revoluteJoint_drive.GetStiffnessAttr().Set(self.Stiffness_min)
# 检测手动关门
if door_state > DOOR_CLOSE_THRESHOLD and not self.door_locked:
targets.append(0.0)
indices.append(self.joint_indices[1])
self.door_locked = True
if door_state < DOOR_CLOSED_THRESHOLD:
# 锁定门
self.door_locked = True
self.light_scopes[0].set_visibility(False)
if self.revoluteJoint_drive:
self.revoluteJoint_drive.GetStiffnessAttr().Set(self.Stiffness_max)
if targets:
if self.use_torch:
device = positions.device
targets_tensor = torch.tensor(targets, device=device)
indices_tensor = torch.tensor(indices, device=device, dtype=torch.long)
action = ArticulationActions(joint_positions=targets_tensor, joint_indices=indices_tensor)
else:
action = ArticulationActions(targets, joint_indices=indices)
self.art.apply_action(action)
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