The Navigation of Home Service Robot Based on Deep Learning and Machine Learning

Table 1

The table of odometer data.

No. of the rows	Second	px	py	pz	ox	oy	oz	ow	lx	ly	Iz	ax	ay	az
0	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
1	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
2	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
3	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
4	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
5	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
6	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
7	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
8	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
9	1,691,289,812	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
10	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
11	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
12	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
13	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
14	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
15	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
16	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000
17	1,691,289,813	−0.06495	−0.40998	0.00000	0.00000	0.00000	−0.80902	0.58779	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000