1 00:00:04,600 --> 00:00:07,800 Speaker 1: A burger flipping robot. I'm Rich Dimiro. This is Rich 2 00:00:07,840 --> 00:00:11,400 Speaker 1: on Tech Daily. Recently I went to Cali Berger in Pasadena, 3 00:00:11,400 --> 00:00:14,440 Speaker 1: California to check out a brand new burger flipping robot 4 00:00:14,560 --> 00:00:17,200 Speaker 1: named Flippy. We got to see this thing in action, 5 00:00:17,440 --> 00:00:19,680 Speaker 1: and let me tell you, this could be the future 6 00:00:19,720 --> 00:00:23,040 Speaker 1: for fast food restaurants. So today is the first day 7 00:00:23,079 --> 00:00:24,919 Speaker 1: for Flippy on the job, but we were there for 8 00:00:24,960 --> 00:00:27,640 Speaker 1: a preview event where it grilled up some hamburgers for us. 9 00:00:28,120 --> 00:00:30,760 Speaker 1: So how does it work? All Right, So a coworker 10 00:00:30,800 --> 00:00:33,559 Speaker 1: puts the raw patties on the grill and then the 11 00:00:33,720 --> 00:00:36,880 Speaker 1: robot goes to work, so it senses when these things 12 00:00:36,920 --> 00:00:38,919 Speaker 1: need to be flipped and when they need to be 13 00:00:38,920 --> 00:00:41,519 Speaker 1: taken off the grill. The company says it can use 14 00:00:41,520 --> 00:00:44,639 Speaker 1: thermal imaging, three D and camera vision to do all 15 00:00:44,680 --> 00:00:47,240 Speaker 1: that stuff, and of course there's a little dose of 16 00:00:47,360 --> 00:00:50,519 Speaker 1: artificial intelligence thrown in. So the more that this robot 17 00:00:50,800 --> 00:00:54,000 Speaker 1: cooks burger's, the more it learns how to do that better. 18 00:00:54,120 --> 00:00:57,760 Speaker 1: The robot was created by a company called Miso Robotics, 19 00:00:57,800 --> 00:01:01,040 Speaker 1: also out of Pasadena. It's actually a obsidiary of the 20 00:01:01,160 --> 00:01:05,280 Speaker 1: same company, Cali Group that owns Cali Berger, and if 21 00:01:05,280 --> 00:01:07,880 Speaker 1: you know anything about Cali Burger, I think it seems 22 00:01:07,959 --> 00:01:10,600 Speaker 1: a little similar to another place called in and Out Burger. 23 00:01:11,440 --> 00:01:13,400 Speaker 1: Apparently a lot of other people think the same thing. 24 00:01:13,480 --> 00:01:15,679 Speaker 1: I was in Hong Kong. I saw one of these 25 00:01:15,720 --> 00:01:19,240 Speaker 1: Cali Burger locations and it looks a lot like in 26 00:01:19,280 --> 00:01:21,080 Speaker 1: an out Burger. But anyway, you can do some searching 27 00:01:21,120 --> 00:01:23,240 Speaker 1: on Google and apparently other people think the same. But 28 00:01:23,280 --> 00:01:28,280 Speaker 1: I digress. So we did watch this flippy make the burgers. 29 00:01:28,400 --> 00:01:31,160 Speaker 1: It took them off the grill. It wasn't perfect and 30 00:01:31,200 --> 00:01:34,240 Speaker 1: it's not super fast. But again, this is the first 31 00:01:34,240 --> 00:01:36,600 Speaker 1: iteration of this thing. It's gonna get better as time 32 00:01:36,640 --> 00:01:38,560 Speaker 1: goes on. It takes a lot of programming to do this. 33 00:01:38,840 --> 00:01:40,720 Speaker 1: In fact, we saw it mess up just a little bit. 34 00:01:40,760 --> 00:01:42,479 Speaker 1: The first batch of burgers had to be thrown out 35 00:01:42,520 --> 00:01:44,840 Speaker 1: for some reason. They didn't really tell us why. But 36 00:01:44,920 --> 00:01:47,440 Speaker 1: the second batch did come out okay. In fact, we 37 00:01:47,640 --> 00:01:50,800 Speaker 1: ate them. Mine was delicious. I mean the thing basically 38 00:01:50,880 --> 00:01:52,720 Speaker 1: flips the burger, then it takes it off the grill, 39 00:01:52,760 --> 00:01:54,760 Speaker 1: puts it on a tray for a human to kind 40 00:01:54,760 --> 00:01:57,440 Speaker 1: of finish with all the toppings and the bun and everything. 41 00:01:57,480 --> 00:01:59,920 Speaker 1: Tasted fresh. The burger tasted good. It was cooked well 42 00:02:00,360 --> 00:02:02,520 Speaker 1: and or I should say not well done. It was 43 00:02:02,560 --> 00:02:06,320 Speaker 1: just cooked very good. So it tasted really nice. So 44 00:02:06,480 --> 00:02:08,600 Speaker 1: why is Cali Berger doing this Well, they want to 45 00:02:08,600 --> 00:02:10,880 Speaker 1: cut down on training costs. They say that that grill 46 00:02:11,080 --> 00:02:14,600 Speaker 1: cook job is not very desirable. People start it and 47 00:02:14,639 --> 00:02:17,840 Speaker 1: then they realize, I don't really like this job, and 48 00:02:17,840 --> 00:02:19,720 Speaker 1: so they want to move on to something else. And 49 00:02:19,760 --> 00:02:22,120 Speaker 1: this will cut down on training costs because if you 50 00:02:22,120 --> 00:02:23,920 Speaker 1: have a robot doing this day in day out, they 51 00:02:23,919 --> 00:02:26,080 Speaker 1: don't have to think about another human doing it every 52 00:02:26,080 --> 00:02:29,280 Speaker 1: single day, or a new human every single day. But 53 00:02:29,520 --> 00:02:33,079 Speaker 1: these robots are not cheap. They cost sixty thousand dollars minimum. 54 00:02:33,440 --> 00:02:35,000 Speaker 1: And this is the first one. So if you want 55 00:02:35,000 --> 00:02:36,440 Speaker 1: to see this thing in action, you can check it 56 00:02:36,440 --> 00:02:38,760 Speaker 1: out at the Cali Burger in Pasadena. It is sort 57 00:02:38,800 --> 00:02:40,080 Speaker 1: of in the front of the house. They don't have 58 00:02:40,120 --> 00:02:42,280 Speaker 1: it hidden in the back of the kitchen because people 59 00:02:42,320 --> 00:02:43,880 Speaker 1: want to see this thing. It's kind of neat to 60 00:02:43,919 --> 00:02:46,639 Speaker 1: see Flippy in action. But they say they are going 61 00:02:46,680 --> 00:02:49,200 Speaker 1: to expand it into other restaurants. They do have a 62 00:02:49,200 --> 00:02:53,000 Speaker 1: bunch of them worldwide. This Cali Burger chain has restaurants 63 00:02:53,040 --> 00:02:55,280 Speaker 1: all over the world. I don't think the human workers 64 00:02:55,320 --> 00:02:58,520 Speaker 1: are going away anytime soon, but like the company said, 65 00:02:58,840 --> 00:03:01,760 Speaker 1: they're definitely a nice addition to the human workers, so 66 00:03:01,760 --> 00:03:05,239 Speaker 1: basically think of them as co workers miso robotics that 67 00:03:05,320 --> 00:03:07,960 Speaker 1: it's kind of that third hand in the kitchen. So 68 00:03:08,040 --> 00:03:12,040 Speaker 1: there you have it. Flippy now cooking at the Caliberger 69 00:03:12,120 --> 00:03:14,560 Speaker 1: in Pasadena, California. If you want to see a video 70 00:03:14,639 --> 00:03:16,960 Speaker 1: on it, just go to my Facebook page Facebook dot 71 00:03:16,960 --> 00:03:20,080 Speaker 1: com slash rich on tech. You can watch Flippy in 72 00:03:20,240 --> 00:03:23,080 Speaker 1: action from start to finish. And if you enjoy this podcast, 73 00:03:23,160 --> 00:03:25,760 Speaker 1: the best thing you can do is rate and review 74 00:03:25,800 --> 00:03:29,040 Speaker 1: it in the podcasts app on your iPhone. So many 75 00:03:29,040 --> 00:03:30,919 Speaker 1: of you have done that. I really do appreciate it. 76 00:03:30,960 --> 00:03:33,440 Speaker 1: That's how Apple shows it to more people, so we 77 00:03:33,480 --> 00:03:35,880 Speaker 1: can get this discovered by a lot more folks. Thanks 78 00:03:35,880 --> 00:03:38,320 Speaker 1: so much for listening. I'm rich damiro rich on tech 79 00:03:38,520 --> 00:03:40,840 Speaker 1: dot Tv is a link to go to for more information. 80 00:03:41,120 --> 00:03:42,120 Speaker 1: I'll talk to you next time.