diff --git a/src/robot_behaviour/config/sentences/load_sentences.py b/src/robot_behaviour/config/sentences/load_sentences.py
deleted file mode 100644
index 139597f9cb07c5d48bed18984ec4747f4b4f3438..0000000000000000000000000000000000000000
--- a/src/robot_behaviour/config/sentences/load_sentences.py
+++ /dev/null
@@ -1,2 +0,0 @@
-
-
diff --git a/src/robot_behaviour/robot.py b/src/robot_behaviour/robot.py
deleted file mode 100644
index 6e9b212ac6fc116056a079a6ff7381de7ab5c8b8..0000000000000000000000000000000000000000
--- a/src/robot_behaviour/robot.py
+++ /dev/null
@@ -1,486 +0,0 @@
-
-
-import time
-import numpy as np
-import random
-import rospy
-
-# import from the package xml_reader
-from xml_reader.xml_reader import XMLReader
-from SKT import SKT
-from robot_behaviour.speech import Speech
-from robot_behaviour.gesture import Gesture
-from robot_behaviour.face import Face
-
-
-class Robot:
-  '''
-  robot class to define the actions of assistance, combining speech and gesture
-  '''
-
-  def __init__(self, actions_file_name, xml_reader):
-    '''
-    :param assistive_actions_modalities:
-    :param engaging_actions_modalities:
-    :param congratulate_actions_modalities:
-    :param assistive_actions_speech:
-    :param engaging_actions_speech:
-    :param congratulate_actions_speech:
-    '''
-
-    self.instructions_speech = xml_reader.get_actions_by_tag(actions_file_name, 'instruction')
-
-    self.assistive_actions_speech = [xml_reader.get_actions_by_tag(actions_file_name, 'LEV_0'),
-                                     xml_reader.get_actions_by_tag(actions_file_name, 'LEV_1'),
-                                     xml_reader.get_actions_by_tag(actions_file_name, 'LEV_2'),
-                                     xml_reader.get_actions_by_tag(actions_file_name, 'LEV_3'),
-                                     xml_reader.get_actions_by_tag(actions_file_name, 'LEV_4')]
-
-    # define the function for the action of engagement
-    # self.engaging_actions_modalities
-
-
-    self.congratulate_actions_speech = xml_reader.get_actions_by_tag(actions_file_name, 'congratulation')
-    self.compassion_actions_speech = xml_reader.get_actions_by_tag(actions_file_name, 'compassion')
-    self.move_back_actions_speech = xml_reader.get_actions_by_tag(actions_file_name, 'move_back')
-    self.correct_token_speech = xml_reader.get_actions_by_tag(actions_file_name, 'correct_token')
-    self.timeout_action_speech = xml_reader.get_actions_by_tag(actions_file_name, "time_out")
-    self.help_action_speech = xml_reader.get_actions_by_tag(actions_file_name, 'help')
-    self.help_attempt = xml_reader.get_actions_by_tag(actions_file_name, "help_attempt")
-    self.help_timeout = xml_reader.get_actions_by_tag(actions_file_name, "help_timeout")
-    self.end_game = xml_reader.get_actions_by_tag(actions_file_name, "end_game")
-    self.play_again = xml_reader.get_actions_by_tag(actions_file_name, "play_again")
-    self.max_attempt = xml_reader.get_actions_by_tag(actions_file_name, "max_attempt")
-    self.unexpected_beahviour = xml_reader.get_actions_by_tag(actions_file_name, "unexpected_behaviour")
-    self.positive_feedback = xml_reader.get_actions_by_tag(actions_file_name, "positive_feedback")
-    self.negative_feedback = xml_reader.get_actions_by_tag(actions_file_name, "negative_feedback")
-
-
-  def get_instructions_speech(self):
-    '''
-    :return: the instructions speech
-    '''
-    return self.instructions_speech
-
-  def get_congratulate_actions_speech(self):
-    '''
-    :return: congratulate instructions
-    '''
-    return self.congratulate_actions_speech
-
-  def get_compassion_actions_speech(self):
-    '''
-    :return: compasstion instructions
-    '''
-    return self.compassion_actions_speech
-
-  def get_move_back_actions_speech(self):
-    '''
-    :return: move back action
-    '''
-    return self.move_back_actions_speech
-
-  def get_correct_token_speech(self):
-    '''
-    :return:
-    '''
-    return self.correct_token_speech
-  def get_help_actions_speech(self):
-    '''
-    :return: help actions
-    '''
-    return self.help_action_speech
-
-  def get_help_attempt_actions_speech(self):
-    '''
-    :return: help attempt actions
-    '''
-    return self.help_attempt
-
-  def get_help_timeout_actions_speech(self):
-    '''
-    :return: help timeout actions
-    '''
-    return self.help_timeout
-
-  def get_positive_feedback_speech(self):
-    return self.positive_feedback
-
-  def get_negative_feedback_speech(self):
-    return self.negative_feedback
-
-  def get_timeout_actions_speech(self):
-    '''
-    :return:
-    '''
-    return self.timeout_action_speech
-
-  def get_play_again_speech(self):
-    '''
-    :return:
-    '''
-    return self.play_again
-
-  def get_end_game_speech(self):
-    '''
-    :return:
-    '''
-    return self.end_game
-
-  def get_max_attempt_speech(self):
-    '''
-    :return:
-    '''
-    return self.max_attempt
-
-  def change_facial_expression(self, face, expression, x=0, y=0):
-    face.reproduce_face_expression(expression)
-    face.move_eyes(x,y)
-    rospy.sleep(1)
-
-  def change_pupils_direction(self, face, x, y):
-    face.move_eyes(x,y)
-
-
-  def get_unexpected_beahviour(self):
-    '''
-    :return:
-    '''
-    return self.unexpected_beahviour
-
-  def get_assistive_actions(self, level_index):
-    '''
-    :param level_index:
-    :return:
-    '''
-    return self.assistive_actions_speech[level_index]
-
-  def get_assistive_action_speech(self, level_index, attempt):
-    '''
-    :param level_index: its the index of the lev -> LEV 0:0, LEV 1: 1, and so on
-    :param action_index: its the index of the action of that level
-    :return: the string with the text to reproduce
-    '''
-    try:
-      return self.assistive_actions_speech[level_index][attempt]
-    except IndexError:
-      print("The index is out of bound, we will set it to 0 for action index")
-
-  def get_token_subset_solution(self, token, skt):
-    board_cols = skt.get_board_size()[1]
-    solution_subset = []
-    # we need to get the location of the current token
-    # and get the two that are closer
-    solution_location = skt.get_token_location(token)
-    # if the right token is is the last column of the board
-    if (solution_location == (board_cols) or solution_location == ((2 * board_cols)) or solution_location == (
-        3 * board_cols) or solution_location == (4 * board_cols)):
-      left_left_closer_token = skt.get_current_board_status()[solution_location - 2]
-      if left_left_closer_token != '0': solution_subset.append(left_left_closer_token)
-      left_closer_token = skt.get_current_board_status()[solution_location - 1]
-      if left_closer_token != '0': solution_subset.append(left_closer_token)
-      solution_subset.append(token)
-
-    # if theright token is in the first column of the board
-    elif (solution_location == 1 or solution_location == (board_cols + 1) or solution_location == (
-        board_cols * 2) + 1 or solution_location == (board_cols * 3) + 1):
-      solution_subset.append(token)
-      right_closer_token = skt.get_current_board_status()[solution_location + 1]
-      if right_closer_token != '0': solution_subset.append(right_closer_token)
-      right_right_closer_token = skt.get_current_board_status()[solution_location + 2]
-      if right_right_closer_token != '0': solution_subset.append(right_right_closer_token)
-    else:
-      left_closer_token = skt.get_current_board_status()[solution_location +1]
-      if left_closer_token != '0': solution_subset.append(left_closer_token)
-      solution_subset.append(token)
-      right_closer_token = skt.get_current_board_status()[solution_location - 1]
-      if right_closer_token != '0': solution_subset.append(right_closer_token)
-    return solution_subset
-
-  def move_token_back(self, token, skt):
-    # action to move back the token
-    token_curr_loc = skt.get_token_location(token)
-    token_dest_loc = skt.get_token_initial_location(token)
-    return token_curr_loc, token_dest_loc
-
-  def provide_positive_feedback(self, speech):
-    action_index = random.randint(0, len(self.get_positive_feedback_speech())-1)
-    speech.text_to_speech(self.get_positive_feedback_speech()[action_index][0])
-
-  def provide_negative_feedback(self, speech, ):
-    action_index = random.randint(0, len(self.get_negative_feedback_speech())-1)
-    speech.text_to_speech(self.get_negative_feedback_speech()[action_index][0])
-
-  def provide_reengagement_timeout(self, speech):
-    for i in range(len(self.get_timeout_actions_speech())):
-      # check if we need to reproduce a gesture
-      if self.get_timeout_actions_speech()[i][1] == 1:
-        speech.text_to_speech(self.get_timeout_actions_speech()[i][0])
-        # reproduce the gesture
-      else:
-        speech.text_to_speech(self.get_timeout_actions_speech()[i][0])
-
-  def provide_instructions(self, speech, actions):
-
-    speech.text_to_speech(self.get_instructions_speech()[0][0])
-      # reproduce the gesture
-    # if at the first one of the instructions are with gesture then reproduce it
-    if self.get_instructions_speech()[0][1] == 1:
-      actions.initial_pos()
-
-  def provide_assistance(self, level_index, attempt, token, skt, speech, actions):
-    token_id, token_loc = token
-    if level_index == 0:
-      if attempt > len(self.get_assistive_actions(level_index)) - 1:
-        attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-      speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-
-    elif level_index == 1:
-      if attempt > len(self.get_assistive_actions(level_index)) - 1:
-        attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-      # if in the xml file name!= "no_gesture"
-      if self.get_assistive_action_speech(level_index, attempt)[1] == 1:
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-      else:
-        if attempt > len(self.get_assistive_actions(level_index)) - 1:
-          attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-
-    elif level_index == 2:
-      if attempt > len(self.get_assistive_actions(level_index)) - 1:
-        attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-      # robot action
-      if self.get_assistive_action_speech(level_index, attempt)[1] == 1:
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        # reproduce the gesture
-        subset_solution = self.get_token_subset_solution(token_id, skt)
-        print(subset_solution)
-        actions.suggest_subset(token_loc, speech, subset_solution, 3)
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-        #actions.initial_pos()
-      else:
-        if attempt > len(self.get_assistive_actions(level_index)) - 1:
-          attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        subset_solution = self.get_token_subset_solution(token_id, skt)
-        for i in range(len(subset_solution)):
-          speech.text_to_speech(subset_solution[i])
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-
-    elif level_index == 3:
-      if attempt > len(self.get_assistive_actions(level_index)) - 1:
-        attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-      # robot action
-      if self.get_assistive_action_speech(level_index, attempt)[1] == 1:
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        # reproduce the gesture
-        actions.suggest_solution(token_id, token_loc, speech, 5)
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-        #actions.initial_pos()
-      else:
-        if attempt > len(self.get_assistive_actions(level_index)) - 1:
-          attempt = np.random.randint(0, len(self.get_assistive_actions(level_index)))
-        speech.text_to_speech(self.get_assistive_action_speech(level_index, attempt)[0])
-        speech.text_to_speech(token_id)
-        # hard coded string
-        speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-
-    elif level_index == 4:
-      print("Warning hard coded string")
-      # reproduce the gesture
-      token_loc = skt.get_token_initial_location(token[0])
-      speech.text_to_speech(self.get_assistive_action_speech(level_index, 0)[0])
-      if self.get_assistive_action_speech(level_index, 0)[1] == 1:
-        actions.offer_token(token_loc, speech, self.get_assistive_action_speech(level_index, 1)[0])
-        # speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-        actions.initial_pos()
-      # hard coded string
-      speech.text_to_speech(self.get_assistive_action_speech(0, 0)[0])
-      # speech.text_to_speech(token)
-      # reproduce the gesture
-      # speech.text_to_speech(self.get_assistive_action_speech(level_index, 1)[0])
-    else:
-      assert Exception("error in the index level, please revise it")
-
-  def provide_congratulation(self, attempt, speech, actions):
-    if attempt > len(self.get_congratulate_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_congratulate_actions_speech()))
-    if self.get_congratulate_actions_speech()[attempt][1] == 1:
-      # perform robot action
-      #actions.head_noddling_yes()
-      speech.text_to_speech(self.get_congratulate_actions_speech()[attempt][0])
-    else:
-      speech.text_to_speech(self.get_congratulate_actions_speech()[attempt][0])
-
-  def provide_compassion(self, attempt, speech, actions):
-    if attempt > len(self.get_compassion_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_compassion_actions_speech()))
-
-    if self.get_compassion_actions_speech()[attempt][1] == 1:
-      # perform robot action
-      #actions.head_noddling_no()
-      speech.text_to_speech(self.get_compassion_actions_speech()[attempt][0])
-    else:
-      speech.text_to_speech(self.get_compassion_actions_speech()[attempt][0])
-
-  def provide_help(self, attempt, speech):
-    if attempt > len(self.get_help_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_help_actions_speech()))
-
-    if self.get_help_actions_speech()[attempt][1] == 1:
-      speech.text_to_speech(self.get_help_actions_speech()[attempt][0])
-      # perform robot action (need to implement this movement)
-    else:
-      speech.text_to_speech(self.get_help_actions_speech()[attempt][0])
-
-  def provide_help_attempt(self, attempt, speech):
-    if attempt > len(self.get_help_attempt_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_help_attempt_actions_speech()))
-
-    if self.get_help_attempt_actions_speech()[attempt][1] == 1:
-      speech.text_to_speech(self.get_help_attempt_actions_speech()[attempt][0])
-      # perform robot action
-    else:
-      speech.text_to_speech(self.get_help_attempt_actions_speech()[attempt][0])
-
-  def provide_help_timeout(self, attempt, speech):
-    if attempt > len(self.get_help_timeout_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_help_timeout_actions_speech()))
-
-    if self.get_help_timeout_actions_speech()[attempt][1] == 1:
-      speech.text_to_speech(self.get_help_timeout_actions_speech()[attempt][0])
-      # perform robot action
-    else:
-      speech.text_to_speech(self.get_help_timeout_actions_speech()[attempt][0])
-
-  def provide_token_back(self, attempt, speech, actions, _from, _to):
-    if attempt >= len(self.get_move_back_actions_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_move_back_actions_speech()))
-
-    if self.get_move_back_actions_speech()[attempt][1] == 1:
-      # perform robot action
-      speech.text_to_speech(self.get_move_back_actions_speech()[attempt][0])
-      actions.pick_and_place(_from, _to)
-      actions.initial_pos()
-    else:
-      speech.text_to_speech(self.get_move_back_actions_speech()[attempt][0])
-
-  def provide_correct_token(self, attempt, speech, actions, _from, _to):
-    if attempt >= len(self.get_correct_token_speech()) - 1:
-      attempt = np.random.randint(0, len(self.get_correct_token_speech()))
-
-    if self.get_correct_token_speech()[attempt][1] == 1:
-      # perform robot action
-      speech.text_to_speech(self.get_correct_token_speech()[attempt][0])
-      actions.pick_and_place(_from, _to)
-      actions.initial_pos()
-    else:
-      speech.text_to_speech(self.get_correct_token_speech()[attempt][0])
-
-  def provide_game_completed(self, speech, actions):
-    for i in range(len(self.get_end_game_speech())):
-      # check if we need to reproduce a gesture
-      if self.get_end_game_speech()[i][1] == 1:
-        speech.text_to_speech(self.get_end_game_speech()[i][0])
-        # reproduce the gesture
-        actions.wave()
-      else:
-        speech.text_to_speech(self.get_end_game_speech()[i][0])
-
-  def provide_play_again(self, speech):
-    speech.text_to_speech(self.get_play_again_speech()[0][0])
-
-  def provide_max_attempt(self, speech, actions, _from, _to):
-    speech.text_to_speech(self.get_max_attempt_speech()[0][0])
-    if self.get_max_attempt_speech()[0][1] == 1:
-      actions.pick_and_place(_from, _to)
-
-  def provide_unexpected_behaviour(self, speech, actions):
-    for i in range(len(self.get_unexpected_beahviour())):
-      if self.get_unexpected_beahviour()[i][1] == 1:
-        speech.text_to_speech(self.get_unexpected_beahviour()[i][0])
-        # reproduce action
-        actions.head_noddling_no()
-      else:
-        speech.text_to_speech(self.get_unexpected_beahviour()[i][0])
-
-  def provide_any_instruction(self, speech, sentence):
-    speech.text_to_speech(sentence)
-
-  def provide_illegal_move(self, speech, token, location):
-    speech.text_to_speech("Move token " + token + ". in location " + location)
-    time.sleep(2)
-
-# length=5
-# progress=1
-# timeout=15
-# assistance_levels = 5
-# max_attempt = 4
-# assistance_probs = []
-# complexity_probs = []
-# total_tokens= 10
-#
-#
-#
-# initial_board = {1:'0', 2:'0', 3:'0', 4:'0', 5:'0',
-#         6:'0', 7:'0', 8:'0', 9:'0', 10:'0',
-#         11:'A', 12:'G', 13:'U', 14:'B', 15:'E',
-#         16:'C', 17:'D', 18:'I', 19:'O', 20:'R'
-#         }
-#
-# current_board ={1:'0', 2:'0', 3:'0', 4:'0', 5:'0',
-#         6:'0', 7:'0', 8:'0', 9:'0', 10:'0',
-#         11:'A', 12:'G', 13:'U', 14:'B', 15:'E',
-#         16:'C', 17:'D', 18:'I', 19:'O', 20:'R'
-#         }
-# solution_board = {1:'C', 2:'U', 3:'R', 4:'I', 5:'E',
-#                 6:'0', 7:'0', 8:'0', 9:'0', 10:'0',
-#                 11: 'A', 12: 'G', 13: '0', 14: 'B', 15: '0',
-#                 16: '0', 17: 'D', 18: '0', 19: 'O', 20: '0'
-#                 }
-#
-#
-# current_board = initial_board.copy()
-# tokens_list = ['A', 'G', 'U', 'B', 'E', 'C', 'D', 'I', 'O', 'R']
-#
-# objective = "ascending"
-# board_size = (4,5)
-#
-# skt = SKT(board_size, 5, progress, timeout, assistance_probs, 0, 0,
-#             max_attempt,
-#             assistance_probs, complexity_probs, total_tokens,
-#             initial_board, current_board, tokens_list, objective, solution_board)
-#
-#
-# print(skt.get_current_board_status())
-#
-# xml = XMLReader()
-#
-# tiago = Robot("/home/pal/cognitive_game_ws/src/robot_behaviour/src/robot_behaviour/config/assistive_actions_definition_esp.xml", xml)
-# speech = Speech("es_ES")
-# actions = Gesture()
-# token = ("U", 13)
-# tiago.provide_assistance(4, 1, token, skt, speech, actions)
-
-#tiago.provide_instructions(speech, actions)
-#tiago.provide_assistance(3, 1, '55', skt, speech, actions)
-#
-# for i in (tokens_list):
-#  for k in range(max_attempt+2):
-#    token = (i, skt.get_token_location(i))
-#    tiago.provide_congratulation(k, speech, actions)
-#    tiago.provide_compassion(k, speech, actions)
-#    tiago.provide_assistance(0, k, token, skt, speech, actions)
-#    tiago.provide_assistance(1, k, token, skt, speech, actions)
-#    tiago.provide_assistance(2, k, token, skt, speech, actions)
-#    tiago.provide_assistance(3, k, token, skt, speech, actions)
-#    tiago.provide_assistance(4, k, token, skt, speech, actions)
-
-
diff --git a/src/robot_behaviour/robot.pyc b/src/robot_behaviour/robot.pyc
deleted file mode 100644
index 4b43d92b0f9c961edf87e979a3dce06516ea2f6b..0000000000000000000000000000000000000000
Binary files a/src/robot_behaviour/robot.pyc and /dev/null differ
diff --git a/src/robot_behaviour/sentences.py b/src/robot_behaviour/sentences.py
deleted file mode 100644
index 3367c1972b4b6bbc0cbd64454eb14f3d5c9317f8..0000000000000000000000000000000000000000
--- a/src/robot_behaviour/sentences.py
+++ /dev/null
@@ -1,30 +0,0 @@
-sentences = {
-'instruction':["The goal is to sort numbered tokens in ascending order on the board. Please wait for my instructions to move a token. Ready???? Let's start"],
-'compassion':["People say lucky in love unlucky in gaming",
-                  "Dont worry sometimes happens",
-                  "Dont worry I'm sure you will get better",
-                  "I know how you feel, I've been in this situation before"],
-'congratulation':["You made a great move", 
-                  "Well done, you're playing as I expected",
-                  "I really enjoying playing with you"],
-'max_attempt':["You've reached the maximum number of attempts, I will move the token for you"],
-'timeout':["Time is passing I will provide you assistance again"],
-'user_move_back':["could you please move back the token?"],
-'robot_move_back':["no worries, I will move the token back"],
-'lev_0':["It's your turn, please move a token"],
-'lev_1':["Come on. I know you can do it",
-         "Remember, The numbers have to be sorted in ascending order",
-         "I believe in you!!",
-         "Dont be afraid to make a mistake. Do it!!"],
-'lev_2':["The solution is on row   ",
-         "Look at row   "],
-'lev_3':["I'm here to help you   The solution can be one of those:",
-         "Why do not try with one of those:"],
-'lev_4':["The right token is this one:",
-         "The right token to move is:",
-         "It's not so difficult. the right token to move is."],
-'lev_5':["The token to move is this one.",
-         "Take it . and move in the right location"],
-'pick_ok':["Yep", "Ok", "Great"],
-'pick_no':["Really???", "Are you sure?", "No"]
-}