Example #1
0
	def optimal(self, beta=10, style='static'):
		self.beta = beta
		if style == 'static':
			# full graph construction
			self.product.graph['ts'].build_full()
			self.product.build_full()
			self.run, plantime = dijkstra_plan_networkX(self.product, self.beta)
		elif style == 'ready':
			self.product.build_full()
			self.run, plantime = dijkstra_plan_networkX(self.product, self.beta)
		elif style == 'on-the-fly':
			# on-the-fly construction
			self.product.build_initial()
			self.product.build_accept()
			self.run, plantime = dijkstra_plan_optimal(self.product, self.beta)
		print 'the plan prefix:\n'
		print [n for n in self.run.pre_plan]
		#print '\n'
		print 'the plan suffix:\n'
		print [n for n in self.run.suf_plan]
		#print '\n'
		self.opt_log.append((self.Time, self.run.pre_plan, self.run.suf_plan, self.run.precost, self.run.sufcost, self.run.totalcost))
		self.last_time = self.Time
		self.acc_change = 0
		self.index = 1
		self.segment = 'line'
		self.next_move = self.run.pre_plan[self.index]
		return plantime
Example #2
0
 def optimal(self, beta=10, style='static'):
     self.beta = beta
     if style == 'static':
         # full graph construction
         self.product.graph['ts'].build_full()
         self.product.build_full()
         self.run, plantime = dijkstra_plan_networkX(
             self.product, self.beta)
     elif style == 'ready':
         self.product.build_full()
         self.run, plantime = dijkstra_plan_networkX(
             self.product, self.beta)
     elif style == 'on-the-fly':
         # on-the-fly construction
         self.product.build_initial()
         self.product.build_accept()
         self.run, plantime = dijkstra_plan_optimal(self.product, self.beta)
     if self.run == None:
         print '---No valid has been found!---'
         print '---Check you FTS or task---'
         return
     if isinstance(self.run.pre_plan[1], str):
         init_pose = (rospy.get_param('amcl_initial_pose_x'),
                      rospy.get_param('amcl_initial_pose_y'),
                      rospy.get_param('amcl_initial_pose_a'))
         self.run.line = [(init_pose, 'None')] + self.run.line
         print[n for n in self.run.line]
         self.run.pre_plan = [init_pose] + self.run.pre_plan
         print[n for n in self.run.pre_plan]
         rospy.logwarn("Prefix plan corrected")
     #print '\n'
     print '------------------------------'
     print 'the prefix of plan **states**:'
     print[n for n in self.run.line]
     print 'the suffix of plan **states**:'
     print[n for n in self.run.loop]
     #print '\n'
     print '------------------------------'
     print 'the prefix of plan **actions**:'
     print[n for n in self.run.pre_plan]
     print 'the suffix of plan **actions**:'
     print[n for n in self.run.suf_plan]
     self.opt_log.append(
         (self.Time, self.run.pre_plan, self.run.suf_plan, self.run.precost,
          self.run.sufcost, self.run.totalcost))
     self.last_time = self.Time
     self.acc_change = 0
     self.index = 1
     self.segment = 'line'
     self.next_move = self.run.pre_plan[self.index]
     return plantime
Example #3
0
 def optimal(self, beta=10, style='static'):
     self.beta = beta
     if style == 'static':
         # full graph construction
         self.product.graph['ts'].build_full()
         # write_dot(self.product.graph['ts'], "./ts.dot")
         self.product.build_full()
         self.run, plantime = dijkstra_plan_networkX(
             self.product, self.beta)
     elif style == 'ready':
         self.product.build_full()
         self.run, plantime = dijkstra_plan_networkX(
             self.product, self.beta)
     elif style == 'on-the-fly':
         # on-the-fly construction
         self.product.build_initial()
         self.product.build_accept()
         self.run, plantime = dijkstra_plan_optimal(self.product, self.beta)
     if self.run is None:
         print '---No valid has been found!---'
         print '---Check you FTS or task---'
         return
     # print '\n'
     print '------------------------------'
     print 'the prefix of plan **states**:'
     print[n for n in self.run.line]
     print 'the suffix of plan **states**:'
     print[n for n in self.run.loop]
     print '------------------------------'
     print 'the prefix of plan **aps**:'
     print[self.product.graph['ts'].node[n]['label'] for n in self.run.line]
     print 'the suffix of plan **aps**:'
     print[self.product.graph['ts'].node[n]['label'] for n in self.run.loop]
     # print '\n'
     print '------------------------------'
     # print 'the prefix of plan **actions**:'
     # print [n for n in self.run.pre_plan]
     # print 'the suffix of plan **actions**:'
     # print [n for n in self.run.suf_plan]
     self.opt_log.append(
         (self.Time, self.run.pre_plan, self.run.suf_plan, self.run.precost,
          self.run.sufcost, self.run.totalcost))
     self.last_time = self.Time
     self.acc_change = 0
     self.index = 1
     self.segment = 'line'
     self.next_move = self.run.pre_plan[self.index]
     return plantime
Example #4
0
	def optimal(self, beta=10, style='static'):
		self.beta = beta
		if style == 'static':
			# full graph construction
			self.product.graph['ts'].build_full()
			self.product.build_full()
			self.run, plantime = dijkstra_plan_networkX(self.product, self.beta)
		elif style == 'ready':
			self.product.build_full()
			self.run, plantime = dijkstra_plan_networkX(self.product, self.beta)
		elif style == 'on-the-fly':
			# on-the-fly construction
			self.product.build_initial()
			self.product.build_accept()
			self.run, plantime = dijkstra_plan_optimal(self.product, self.beta)
                if self.run == None:
                        print '---No valid has been found!---'
                        print '---Check you FTS or task---'
                        return 
		#print '\n'
                print '------------------------------'
                print 'the prefix of plan **states**:'
		print [n for n in self.run.line]
Example #5
0
 def margin_opt_path(self, opt_path, beta):
     self.reset_beta(beta)
     self.product.build_full_margin(opt_path)
     #marg_path = dijkstra_path_networkX(self.product, opt_path[0], opt_path[-1])
     self.run, plantime = dijkstra_plan_networkX(self.product, self.gamma)
     return self.run.suffix
Example #6
0
 def margin_optimal(self, opt_path, style='ready'):
     self.product.build_full_margin(opt_path)
     self.run, plantime = dijkstra_plan_networkX(self.product, self.beta)