Added trajectory splitting functions.

Author: psigen

src/prpy/util.py

@@ -295,6 +295,92 @@ def CopyTrajectory(traj, env=None):
     return copy_traj
 
 
+def GetTrajectoryHead(trajectory, t_split):
+    """
+    Split the given trajectory at the given time and return the head.
+
+    The head trajectory is a partial copy of the original.
+
+    @param trajectory the trajectory that will be split
+    @param t_split the time at which to split the trajectory
+    @return a trajectory that goes from t=0 to t=split
+    """
+    if not IsTimedTrajectory(trajectory):
+        raise ValueError("Cannot split untimed trajectory at a time.")
+
+    if not (0. <= t_split <= trajectory.GetDuration()):
+        raise ValueError("Cannot split trajectory of duration {:f} at t={:f}."
+                         .format(trajectory.GetDuration(), t_split))
+
+    # Find the intermediate point and index of the split time.
+    split_waypoint = trajectory.Sample(t_split)
+    split_idx = trajectory.GetFirstWaypointIndexAfterTime(t_split)
+
+    # Create a trajectory from the beginning to the split.
+    head = openravepy.RaveCreateTrajectory(trajectory.GetEnv(),
+                                           trajectory.GetXMLId())
+    head.Init(trajectory.GetConfigurationSpecification())
+    head.Insert(0, trajectory.GetWaypoints(0, split_idx))
+    head.Insert(head.GetNumWaypoints(), split_waypoint)
+    return head
+
+
+def GetTrajectoryTail(trajectory, t_split):
+    """
+    Split the given trajectory at the given time and returns the tail.
+
+    The tail trajectory is a partial copy of the original.
+
+    @param trajectory the trajectory that will be split
+    @param t_split the time at which to split the trajectory
+    @return a trajectory that goes from t=split to t=end
+    """
+    if not IsTimedTrajectory(trajectory):
+        raise ValueError("Cannot split untimed trajectory at a time.")
+
+    if not (0. <= t_split <= trajectory.GetDuration()):
+        raise ValueError("Cannot split trajectory of duration {:f} at t={:f}."
+                         .format(trajectory.GetDuration(), t_split))
+
+    # Find the intermediate point and index of the split time.
+    split_waypoint = trajectory.Sample(t_split)
+    split_idx = trajectory.GetFirstWaypointIndexAfterTime(t_split)
+
+    # Correct for the delta-time offset of the split waypoint.
+    cspec = trajectory.GetConfigurationSpecification()
+    split_delta = cspec.ExtractDeltaTime(split_waypoint)
+    cspec.InsertDeltaTime(split_waypoint, 0.)
+
+    # Create a trajectory from the split to the end.
+    tail = openravepy.RaveCreateTrajectory(trajectory.GetEnv(),
+                                           trajectory.GetXMLId())
+    tail.Init(trajectory.GetConfigurationSpecification())
+    tail.Insert(0, split_waypoint)
+    tail.Insert(1, trajectory.GetWaypoints(split_idx,
+                                           trajectory.GetNumWaypoints()))
+
+    # Correct the delta-time of the first waypoint in the tail.
+    waypoint = tail.GetWaypoint(1)
+    waypoint_delta = cspec.ExtractDeltaTime(waypoint)
+    cspec.InsertDeltaTime(waypoint, waypoint_delta - split_delta)
+    tail.Insert(1, waypoint, True)
+    return tail
+
+
+def SplitTrajectory(trajectory, t_split):
+    """
+    Split the given trajectory at the given time and returns the head and tail.
+
+    The head and tail trajectories are copies of the original.
+
+    @param trajectory the trajectory that will be split
+    @param t_split the time at which to split the trajectory
+    @return a trajectory tuple of (head, tail)
+    """
+    return (GetTrajectoryHead(trajectory, t_split),
+            GetTrajectoryTail(trajectory, t_split))
+
+
 def GetTrajectoryTags(traj):
     """ Read key/value pairs from a trajectory.
 
@@ -1137,6 +1223,7 @@ def ComputeEnabledAABB(kinbody):
     half_extents = (max_corner - min_corner) / 2.
     return AABB(center, half_extents)
 
+
 def UntimeTrajectory(trajectory, env=None):
     """
     Returns an untimed copy of the provided trajectory.
@@ -1617,7 +1704,7 @@ def GetLinearCollisionCheckPts(robot, traj, norm_order=2, sampling_func=None):
                                 inf  ==>  The L_infinity norm
     @param generator sampling_func A function that returns a sequence of
                                    sample times.
-                                   e.g. SampleTimeGenerator() 
+                                   e.g. SampleTimeGenerator()
                                          or
                                         VanDerCorputSampleGenerator()
 
@@ -1684,7 +1771,7 @@ def GetLinearCollisionCheckPts(robot, traj, norm_order=2, sampling_func=None):
         q1 = traj_cspec.ExtractJointValues(waypoint, robot, dof_indices)
         dq = numpy.abs(q1 - q0)
         max_diff_float = numpy.max( numpy.abs(q1 - q0) / q_resolutions)
-        
+
         # Get the number of steps (as a float) required for
         # each joint at DOF resolution
         num_steps = dq / q_resolutions
@@ -1717,7 +1804,7 @@ def GetLinearCollisionCheckPts(robot, traj, norm_order=2, sampling_func=None):
 
     # Sample the trajectory using the specified sample generator
     seq = None
-    if sampling_func == None:
+    if sampling_func is None:
         # (default) Linear sequence, from start to end
         seq = SampleTimeGenerator(0, traj_duration, step=2)
     else: