diff --git a/lerobot/scripts/control_sim_robot.py b/lerobot/scripts/control_sim_robot.py
index 85d44c54..e198a814 100644
--- a/lerobot/scripts/control_sim_robot.py
+++ b/lerobot/scripts/control_sim_robot.py
@@ -180,6 +180,12 @@ def is_headless():
         print() 
         return True
 
+def init_read_leader(robot, fps, **kwargs):
+    axis_directions = kwargs.get('axis_directions', [1])
+    offsets = kwargs.get('offsets', [0])
+    command_queue = multiprocessing.Queue(1000)
+    read_leader = multiprocessing.Process(target=read_commands_from_leader, args=(robot, command_queue, fps, axis_directions, offsets))
+    return read_leader, command_queue
 
 def read_commands_from_leader(robot: Robot, queue: multiprocessing.Queue, fps: int, axis_directions: list, offsets: list, stop_flag=None):
     if not robot.is_connected:
@@ -255,15 +261,9 @@ def create_rl_hf_dataset(data_dict):
 
 def teleoperate(env, robot: Robot, teleop_time_s=None, **kwargs):    
     env = env()
-    
-    axis_directions = kwargs.get('axis_directions', [1])
-    offsets = kwargs.get('offsets', [0])
-    fps = kwargs.get('fps', None)
-    command_queue = multiprocessing.Queue(1000)
-    read_leader = multiprocessing.Process(target=read_commands_from_leader, args=(robot, command_queue, fps, axis_directions, offsets))
-
     env.reset()
-
+    
+    read_leader, command_queue = init_read_leader(robot, **kwargs)
     start_teleop_t = time.perf_counter() 
     read_leader.start()
     while True:
@@ -356,12 +356,7 @@ def record(
     num_image_writers = num_image_writers_per_camera * 2 ###############
     num_image_writers = max(num_image_writers, 1)
 
-    # Parameters for the control
-    axis_directions = kwargs.get('axis_directions', [1])
-    offsets = kwargs.get('offsets', [0])
-    command_queue = multiprocessing.Queue(1000)
-    stop_reading_leader = multiprocessing.Value('i', 0)
-    read_leader = multiprocessing.Process(target=read_commands_from_leader, args=(robot, command_queue, fps, axis_directions, offsets, stop_reading_leader))
+    read_leader, command_queue = init_read_leader(robot, fps, **kwargs)    
     if not is_headless() and visualize_images:
         observations_queue = multiprocessing.Queue(1000)
         show_images = multiprocessing.Process(target=show_image_observations, args=(observations_queue, ))
@@ -411,7 +406,6 @@ def record(
 
                 timestamp = time.perf_counter() - start_episode_t
                 if exit_early:
-                    # If the episode is successful then break
                     exit_early = False
                     break
 
@@ -422,9 +416,7 @@ def record(
             # stop_reading_leader is blocking
             command_queue.close()
             read_leader.terminate() 
-
-            command_queue = multiprocessing.Queue(1000)
-            read_leader = multiprocessing.Process(target=read_commands_from_leader, args=(robot, command_queue, fps, axis_directions, offsets, stop_reading_leader))
+            read_leader, command_queue = init_read_leader(robot, fps, **kwargs)    
 
             timestamp = 0
 
@@ -745,7 +737,7 @@ if __name__ == "__main__":
         record(env_fn, robot, **kwargs)
 
     elif control_mode == "replay":
-        replay(robot, **kwargs)
+        replay(env_fn, robot, **kwargs)
 
     else:
         raise ValueError(f"Invalid control mode: '{control_mode}', only valid modes are teleoperate, record and replay." )