Fix interpolator dim bug

robosuite/controllers/controller_factory.py

@@ -116,31 +116,26 @@ def controller_factory(name, params):
     if name == "OSC_POSE":
         ori_interpolator = None
         if interpolator is not None:
-            interpolator.dim = 3                # EE control uses dim 3 for pos and ori each
+            interpolator.set_states(dim=3)                # EE control uses dim 3 for pos and ori each
             ori_interpolator = deepcopy(interpolator)
-            ori_interpolator.ori_interpolate = "euler"
+            ori_interpolator.set_states(ori="euler")
         params["control_ori"] = True
         return OperationalSpaceController(interpolator_pos=interpolator,
                                           interpolator_ori=ori_interpolator, **params)
 
     if name == "OSC_POSITION":
         if interpolator is not None:
-            interpolator.dim = 3                # EE control uses dim 3 for pos
+            interpolator.set_states(dim=3)                # EE control uses dim 3 for pos
         params["control_ori"] = False
         return OperationalSpaceController(interpolator_pos=interpolator, **params)
 
     if name == "IK_POSE":
         ori_interpolator = None
         if interpolator is not None:
-            interpolator.dim = 3                # EE IK control uses dim 3 for pos and dim 4 for ori
-            interpolator.start = np.zeros(3)
-            interpolator.goal = np.zeros(3)
+            interpolator.set_states(dim=3)                # EE IK control uses dim 3 for pos and dim 4 for ori
             ori_interpolator = deepcopy(interpolator)
-            ori_interpolator.dim = 4
-            ori_interpolator.start = np.array((0, 0, 0, 1))
-            ori_interpolator.goal = np.array((0, 0, 0, 1))
-            ori_interpolator.ori_interpolate = "quat"
-
+            ori_interpolator.set_states(dim=4, ori="quat")
+
         # Import pybullet server if necessary
         global pybullet_server
         from .ik import InverseKinematicsController

robosuite/controllers/interpolators/linear_interpolator.py

@@ -35,15 +35,34 @@ def __init__(self,
                  use_delta_goal=False,
                  ori_interpolate=None,
                  ):
-
-        self.dim = ndim                                            # Number of dimensions to interpolate
-        self.order = 1                                             # Order of the interpolator (1 = linear)
-        self.step = 0                                              # Current step of the interpolator
+        self.dim = ndim                                             # Number of dimensions to interpolate
+        self.ori_interpolate = ori_interpolate                      # Whether this is interpolating orientation or not
+        self.order = 1                                              # Order of the interpolator (1 = linear)
+        self.step = 0                                               # Current step of the interpolator
         self.total_steps = \
-            np.ceil(ramp_ratio * controller_freq / policy_freq)    # Total num steps per interpolator action
-        self.use_delta_goal = use_delta_goal                       # Whether to use delta or absolute goals (currently
-                                                                   # not implemented yet- TODO)
-        self.ori_interpolate = ori_interpolate                     # Whether this is interpolating orientation or not
+            np.ceil(ramp_ratio * controller_freq / policy_freq)     # Total num steps per interpolator action
+        self.use_delta_goal = use_delta_goal                        # Whether to use delta or absolute goals (currently
+                                                                    # not implemented yet- TODO)
+        self.set_states(dim=ndim, ori=ori_interpolate) 
+
+    def set_states(self, dim=None, ori=None):
+        """
+        Updates self.dim and self.ori_interpolate. 
+
+        Initializes self.start and self.goal with correct dimensions. 
+
+        Args:
+            ndim (None or int): Number of dimensions to interpolate
+
+            ori_interpolate (None or str): If set, assumes that we are interpolating angles (orientation)
+                Specified string determines assumed type of input:
+
+                    `'euler'`: Euler orientation inputs
+                    `'quat'`: Quaternion inputs
+        """
+        # Update self.dim and self.ori_interpolate
+        self.dim = dim if dim is not None else self.dim
+        self.ori_interpolate = ori if ori is not None else self.ori_interpolate
 
         # Set start and goal states
         if self.ori_interpolate is not None:
@@ -52,7 +71,7 @@ def __init__(self,
             else:   # quaternions
                 self.start = np.array((0, 0, 0, 1))
         else:
-            self.start = np.zeros(ndim)
+            self.start = np.zeros(self.dim)
         self.goal = np.array(self.start)
 
     def set_goal(self, goal):

robosuite/controllers/joint_pos.py

@@ -226,7 +226,7 @@ def run_controller(self):
         if self.interpolator is not None:
             # Linear case
             if self.interpolator.order == 1:
-                desired_qpos = self.interpolator.get_interpolated_goal(self.joint_pos)
+                desired_qpos = self.interpolator.get_interpolated_goal()
             else:
                 # Nonlinear case not currently supported
                 pass

robosuite/controllers/joint_tor.py

@@ -139,7 +139,7 @@ def run_controller(self):
         if self.interpolator is not None:
             # Linear case
             if self.interpolator.order == 1:
-                self.current_torque = self.interpolator.get_interpolated_goal(self.current_torque)
+                self.current_torque = self.interpolator.get_interpolated_goal()
             else:
                 # Nonlinear case not currently supported
                 pass

robosuite/controllers/joint_vel.py

@@ -161,7 +161,7 @@ def run_controller(self):
         if self.interpolator is not None:
             if self.interpolator.order == 1:
                 # Linear case
-                self.current_vel = self.interpolator.get_interpolated_goal(self.current_vel)
+                self.current_vel = self.interpolator.get_interpolated_goal()
             else:
                 # Nonlinear case not currently supported
                 pass