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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,860 --> 00:00:05,430 Configuration space is a general concept that can be applied to a lot of robots. 2 00:00:05,430 --> 00:00:10,950 This slide shows a simple planar arm with two revolute joints, one and two. 3 00:00:12,560 --> 00:00:16,470 Here again, we can think of all the possible configurations of this robot. 4 00:00:16,470 --> 00:00:22,670 And associate them with a tuple of joint angles theta 1 and theta 2. 5 00:00:22,670 --> 00:00:26,460 In this case, the two angles can freely range from 0 to 360 degrees. 6 00:00:26,460 --> 00:00:31,890 The following movie shows our planar two link robot moving around. 7 00:00:31,890 --> 00:00:35,390 Along with a corresponding trajectory in configuration space. 8 00:00:35,390 --> 00:00:38,660 Note, that as a robot moves continuously, 9 00:00:38,660 --> 00:00:42,940 the red dot corresponding to the robot's configuration space coordinates. 10 00:00:42,940 --> 00:00:47,490 Appears to disappear from one side of the graph and appear on the other. 11 00:00:47,490 --> 00:00:50,950 This is really just a consequence of the way that rotations work. 12 00:00:50,950 --> 00:00:55,040 Namely, configurations corresponding to theta 1 equals 0, and theta 1 equals 360, 13 00:00:55,040 --> 00:00:57,100 are the same. 14 00:00:57,100 --> 00:01:01,091 Similarly, configurations corresponding to theta 2 equals 0, and 15 00:01:01,091 --> 00:01:04,140 theta 2 equals 360, are also the same. 16 00:01:04,140 --> 00:01:08,080 This means that for this example, the configuration space can actually be 17 00:01:08,080 --> 00:01:14,010 associated with a 2D surface of a taurus or doughnut. 18 00:01:14,010 --> 00:01:17,740 Once again, we can introduce obstacles into the environment. 19 00:01:17,740 --> 00:01:21,190 And consider which configurations become infeasible, because of collision. 20 00:01:22,590 --> 00:01:26,100 This figure shows the robot the obstacles and 21 00:01:26,100 --> 00:01:29,360 the corresponding situation and configuration space. 22 00:01:29,360 --> 00:01:32,040 Notice, that because of the way we have chosen coordinates for 23 00:01:32,040 --> 00:01:33,910 configuration space. 24 00:01:33,910 --> 00:01:37,160 The simple polygonal obstacles actually turn into 25 00:01:37,160 --> 00:01:40,400 interesting shape in configuration space. 26 00:01:40,400 --> 00:01:44,630 Once again, the path planning problem corresponds to guiding the robot 27 00:01:44,630 --> 00:01:46,950 from one configuration to another. 28 00:01:48,170 --> 00:01:50,240 Here's an example of a trajectory. 29 00:01:50,240 --> 00:01:54,830 Through configuration space, it guides a robot from one position to another. 30 00:01:56,310 --> 00:02:00,790 Note that in this case, the topology of the configuration space comes into play. 31 00:02:02,170 --> 00:02:06,060 In order to avoid the suave of configuration space obstacle, 32 00:02:06,060 --> 00:02:08,050 in the center of the figure. 33 00:02:08,050 --> 00:02:10,730 The position of the robot appears to disappear 34 00:02:10,730 --> 00:02:14,190 from the bottom of the figure and reappear at the top. 35 00:02:14,190 --> 00:02:15,840 In order to get to the final configuration.3207

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