adithyamurali commited on
Commit
6987523
·
1 Parent(s): c3e9b24

Rename robot grippers

Browse files
scripts/meshcat_utils.py CHANGED
@@ -45,17 +45,17 @@ control_points_suction = np.array([
45
  ])
46
 
47
  control_points_data = {
48
- "franka": control_points_franka,
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- "robotiq2f140": control_points_robotiq2f140,
50
- "suction": control_points_suction,
51
  }
52
 
53
- def get_gripper_control_points(gripper_name: str = 'franka') -> np.ndarray:
54
  """
55
  Get the control points for a specific gripper.
56
 
57
  Args:
58
- gripper_name (str): Name of the gripper ("franka", "robotiq2f140", "suction")
59
 
60
  Returns:
61
  np.ndarray: Array of control points for the specified gripper
@@ -74,7 +74,7 @@ def get_gripper_depth(gripper_name: str) -> float:
74
  Get the depth parameter for a specific gripper type.
75
 
76
  Args:
77
- gripper_name (str): Name of the gripper ("franka", "robotiq2f140", "suction")
78
 
79
  Returns:
80
  float: Depth parameter for the specified gripper
@@ -84,7 +84,7 @@ def get_gripper_depth(gripper_name: str) -> float:
84
  """
85
  # TODO: Use register module. Don't have this if-else name lookup
86
  pts, d = None, None
87
- if gripper_name in ["franka", "robotiq2f140"]:
88
  pts = get_gripper_control_points(gripper_name)
89
  elif gripper_name == "suction":
90
  return 0.069
@@ -141,12 +141,12 @@ def generate_circle_points(center: List[float], radius: float = 0.007, N: int =
141
  return points
142
 
143
 
144
- def get_gripper_visualization_control_points(gripper_name: str = 'franka') -> List[np.ndarray]:
145
  """
146
  Get control points for visualizing a specific gripper type.
147
 
148
  Args:
149
- gripper_name (str): Name of the gripper ("franka", "robotiq2f140", "suction")
150
 
151
  Returns:
152
  List[np.ndarray]: List of control point arrays for gripper visualization
@@ -314,7 +314,7 @@ def visualize_pointcloud(
314
  vis[name].set_transform(transform)
315
 
316
 
317
- def load_visualization_gripper_points(gripper_name: str = "franka") -> List[np.ndarray]:
318
  """
319
  Load control points for gripper visualization.
320
 
@@ -339,7 +339,7 @@ def visualize_grasp(
339
  name: str,
340
  transform: np.ndarray,
341
  color: List[int] = [255, 0, 0],
342
- gripper_name: str = "franka",
343
  **kwargs: Any
344
  ) -> None:
345
  """
 
45
  ])
46
 
47
  control_points_data = {
48
+ "franka_panda": control_points_franka,
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+ "robotiq_2f_140": control_points_robotiq2f140,
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+ "single_suction_cup_30mm": control_points_suction,
51
  }
52
 
53
+ def get_gripper_control_points(gripper_name: str = 'franka_panda') -> np.ndarray:
54
  """
55
  Get the control points for a specific gripper.
56
 
57
  Args:
58
+ gripper_name (str): Name of the gripper ("franka_panda", "robotiq_2f_140", "single_suction_cup_30mm")
59
 
60
  Returns:
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  np.ndarray: Array of control points for the specified gripper
 
74
  Get the depth parameter for a specific gripper type.
75
 
76
  Args:
77
+ gripper_name (str): Name of the gripper ("franka_panda", "robotiq_2f_140", "single_suction_cup_30mm")
78
 
79
  Returns:
80
  float: Depth parameter for the specified gripper
 
84
  """
85
  # TODO: Use register module. Don't have this if-else name lookup
86
  pts, d = None, None
87
+ if gripper_name in ["franka_panda", "robotiq2f140"]:
88
  pts = get_gripper_control_points(gripper_name)
89
  elif gripper_name == "suction":
90
  return 0.069
 
141
  return points
142
 
143
 
144
+ def get_gripper_visualization_control_points(gripper_name: str = 'franka_panda') -> List[np.ndarray]:
145
  """
146
  Get control points for visualizing a specific gripper type.
147
 
148
  Args:
149
+ gripper_name (str): Name of the gripper ("franka_panda", "robotiq_2f_140", "single_suction_cup_30mm")
150
 
151
  Returns:
152
  List[np.ndarray]: List of control point arrays for gripper visualization
 
314
  vis[name].set_transform(transform)
315
 
316
 
317
+ def load_visualization_gripper_points(gripper_name: str = "franka_panda") -> List[np.ndarray]:
318
  """
319
  Load control points for gripper visualization.
320
 
 
339
  name: str,
340
  transform: np.ndarray,
341
  color: List[int] = [255, 0, 0],
342
+ gripper_name: str = "franka_panda",
343
  **kwargs: Any
344
  ) -> None:
345
  """
scripts/visualize_dataset.py CHANGED
@@ -40,7 +40,7 @@ from dataset import GraspWebDatasetReader, load_uuid_list
40
  def visualize_mesh_with_grasps(
41
  mesh_path: str,
42
  mesh_scale: float,
43
- gripper_name: str = "franka",
44
  grasps: list[np.ndarray] = None,
45
  color: list = [192, 192, 192],
46
  transform: np.ndarray = None,
@@ -52,7 +52,7 @@ def visualize_mesh_with_grasps(
52
  Args:
53
  mesh_path (str): Path to the mesh file
54
  mesh_scale (float): Scale factor for the mesh
55
- gripper_name (str): Name of the gripper to visualize ("franka", "suction", etc.)
56
  grasps (list[np.ndarray], optional): List of 4x4 grasp transforms
57
  color (list, optional): RGB color for the mesh. Defaults to gray if None
58
  transform (np.ndarray, optional): 4x4 transform matrix for the mesh. Defaults to identity if None
@@ -103,7 +103,7 @@ def parse_args():
103
  parser.add_argument("--uuid_list", type=str, help="Path to UUID list", default=None)
104
  parser.add_argument("--uuid_object_paths_file", type=str, help="Path to JSON file, mapping UUID to absolute path of the mesh file", default=None)
105
  parser.add_argument("--object_file", type=str, help="This has to be a .stl or .obj or .glb file", default=None)
106
- parser.add_argument("--gripper_name", type=str, required=True, help="Specify the gripper name", choices=["franka", "suction", "robotiq2f140"])
107
  parser.add_argument("--max_grasps_to_visualize", type=int, help="The max number of grasps to visualize", default=20)
108
  return parser.parse_args()
109
 
 
40
  def visualize_mesh_with_grasps(
41
  mesh_path: str,
42
  mesh_scale: float,
43
+ gripper_name: str = "franka_panda",
44
  grasps: list[np.ndarray] = None,
45
  color: list = [192, 192, 192],
46
  transform: np.ndarray = None,
 
52
  Args:
53
  mesh_path (str): Path to the mesh file
54
  mesh_scale (float): Scale factor for the mesh
55
+ gripper_name (str): Name of the gripper to visualize ("franka_panda", "suction", etc.)
56
  grasps (list[np.ndarray], optional): List of 4x4 grasp transforms
57
  color (list, optional): RGB color for the mesh. Defaults to gray if None
58
  transform (np.ndarray, optional): 4x4 transform matrix for the mesh. Defaults to identity if None
 
103
  parser.add_argument("--uuid_list", type=str, help="Path to UUID list", default=None)
104
  parser.add_argument("--uuid_object_paths_file", type=str, help="Path to JSON file, mapping UUID to absolute path of the mesh file", default=None)
105
  parser.add_argument("--object_file", type=str, help="This has to be a .stl or .obj or .glb file", default=None)
106
+ parser.add_argument("--gripper_name", type=str, required=True, help="Specify the gripper name", choices=["franka_panda", "single_suction_cup_30mm", "robotiq_2f_140"])
107
  parser.add_argument("--max_grasps_to_visualize", type=int, help="The max number of grasps to visualize", default=20)
108
  return parser.parse_args()
109