Episode 34

full
Published on:

2nd Dec 2021

Smart Vacuum

Cleaning our houses take up a lot of our time normally. But its a necessary chore. With the advent of a washing machine and dishwasher, it was only time till we got our first robot vacuum and these days you can buy a smart one, with full capabilities from auto schedule, auto empty, etc. Imagine so many hours freed from your day.

In this week's talk, Amit and Rinat talk about smart vacuums, its various types, how it works, and a lot more!

Transcript
Rinat Malik:

Hi, everyone, welcome to Tech Talk, a podcast where Amit and I talk about various tech related topics. This week, we are going to talk about something very cool. And a lot of us are already familiar, the smart vacuum cleaner, or a lot of us college robot vacuum. Some are some of the known names are Roomba. And there are a few brands that are quite popular in this space. Now, when we talk about this kind of vacuum cleaners, we well, you might think that that's not really IT tech topic. But actually, a lot of the technology that goes behind it is actually very interesting and very related to IT and artificial intelligence, and also detecting obstacle detection and that kind of stuff. So I am actually very excited. I actually no less Amit I think knows more about the topic. So I'm also, you know, keen to find out more as well from Amit. So yeah, let's dive right into it. I mean, what? Well, I mean, you know, there are people who probably haven't come across a robot vacuum or a smart vacuum yet, what is a robot vacuum in a nutshell.

Amit Sarkar:

So in a nutshell, I mean, let's start with how we clean our houses, in olden days used to have a broom and a mop. So broom used to broom away the dust, and then clean the dust in the house, and a mop to put some liquid and clean the surface, maybe some alcohol or something to just kill all the germs. And that's how we used to clean for many years. And then we started having vacuum cleaners, and those vacuum cleaners, you could those were wired. And with those vacuum cleaners, you could clean different types of surfaces because they had electricity, it had more power, so you could suck away dust more efficiently. And it used to collect that in a bag and then you had to dispose it. And the problem with wired One was that you always had to keep it plugged. So you could not go from one place to another place without adjusting the plug. So then we had wireless vacuum cleaners. And then there are different vacuum cleaners one data that are on the floor and one that you can hold in your hand, etc. So you heard all these different types of vacuum cleaners. But it all had one thing in common and these are all the cleaning different types of cleaning it they are, we have to clean it ourselves. So it's a manual process. Now how do we automate that? Or how do we outsource it? Now that's the question. And that's where robot vacuums enter the picture. So robot vacuum is something that does the vacuum cleaning by itself. So you switch it on, and you say, I mean you don't say anything, it normally most of the vacuum cleaners now come up with an app. So you can tell Okay, go start vacuum cleaning. And what it does is it starts cleaning and it does on itself. Now when you start cleaning by yourself, what do you need, you need to know where you are. And you need to know what are your surroundings. So the navigation bed and the sense of it comes into picture. But essentially a robot vacuum is basically automating the cleaning task that we used to spend so much hours every day in our life so that's essentially a robot vacuum

Rinat Malik:

Yeah, it's I mean one of the things I noticed when you were just sort of like going through the journey of cleaning you know the floors in our house is that in every step basically we automated a little bit you know in the beginning it was probably like you know take a piece of cloth and you know sweep it by hand or whatever and then it got a little bit easier but then you know with the electric vacuum cleaner it was automated a little bit but there were still a lot of manual processes and I think literally just you know 10 years ago one of the you know in any household one of the like the thing that you would not look forward to doing is vacuuming the house so that's one thing that you know you can pull off as long as you want well no you can't but you would want as long as you want as long as you can. And obviously there probably was some sort of incentive to for the engineers to sort of come up come You know, come out with a like bring out a like automated system or make this process a little bit easier. I mean, this is not something you can't escape you know, if you're living in a place it will get eventually dirty or dusty and there is absolutely a need for regular vacuum, there is no escape from that. But with the advent of technology now we can just make this process is not just a little bit easier, but by looking at, you know, some of the products on the market today a lot easier, as you mentioned, you know, you could tell it with, you know, with your voice recognition…

Amit Sarkar:

you can control it, because they are smart. So you can of course control it. But essentially, it is it. I mean, most of the vacuum cleaners or robot vacuum cleaners now have an app and through an app,

Rinat Malik:

and you can also control it with your what I'm trying to remember the name.

Amit Sarkar:

Voice-Assistance …

Rinat Malik:

Yes, Voice-Assistance. And on top of that, I think the most, you know, the smartest thing to do, I think a lot of people, that's what they do is shedule it rather than being able to say so that's like the pinnacle of automation, where you don't even have to remember to tell it to just shedule it. And yeah, that's that, I mean, basically, I was just, you know, listening to the journey of, as you mentioned, and it just so interesting how it was incentivized to, you know, make it as automated as possible.

Amit Sarkar:

Yes. I think. I mean, most of the things most of the gadgets in our house are now related to some kind of automation. Yeah, the reason we pick the robot vacuum is because I mean there is there are other things in the house as well. You have a smart refrigerator, you have a smart washing machine, and you have a smart dishwasher. But the thing about a robot vacuum is it has to go and cover the entire house. So it is far more complex than maybe a dishwasher or a fridge. I mean it is still complex for a fridge dishwasher or a washing machine to be smart. But they are all static they're not moving around the house.

Rinat Malik:

Yes, yes. They don't have to have Yeah, they don't have to have an awareness of itself I mean, that's like another level of you know, intelligence. Yeah, exactly.

Amit Sarkar:

Because you have babies in the house you have pets in the house, you have hairs lying around dust, you have pet poo, so you have so many things and you have so many things scattered on the floor. You have your laptop you have router you have so many your plants. So so it's it's it's not easy, and it is a complex thing. And how do you how do you help a robot navigate through this complex surrounding and imagine you have to do it from day one so all come with a clean slate they don't have no idea or into which environment they are going to enter. So they need to get ability to first map the whole environment it's like us going to a remote location and trying to figure out where we are and then going back going somewhere and then able to come back. You have certain markers you have certain visual markers like okay there is a house there is a lake I saw some kind of landmark based on that you create a map in your head Okay, I walked this much I worked 20 minutes so this came in this direction. That's how the sun is moving. And that's how you map the area and then you figure out okay, where you are in that map and that's what a robot has to do each robot

Rinat Malik:

yes that's loving. I gotta say I I've actually been an early adopter of this technology. I mean, it says how much I hate vacuuming so I was looking for this kind of solution so yeah, I mean at the very beginning when it was you know just about smart vacuum and robot, I bought it at that stage and at that time my experience wasn't all that because I was kind of I mean obviously that's what happens with you know, at the beginning stage of a new technology and what I realised is that Yeah, there were situations where it actually got lost and it went so far or some corner of the house that I could not find where it is and it lost my bluetooth connection as well. So I was like I spent like half an hour looking for it and I thought this is not the experience I want from a smart device and then there was the other problem is it can only at the time it could only clean selective stuff like only dry dusty stuff but if there was any wet something on the floor or on the carpet sometimes you would identify carpet as an obstruction and you would go around it but I do want the carpet to be also vacuum so all of these things weaknesses were there so I was kind of reluctant I was not sure that where this would you know go but nowadays I've seen some sort of like, latest, you know versions of these things they can I mean it's amazing what they can do. They can even have like proper carpet treatment where they sort of wet wash it, knowing that it's carpet and then you know finding as you mentioned pet poo or you know like maybe food droppings. Whatever sorry drops the food. And yeah, it can identify and actually treat it as a wet you know, thing to clean up rather than, you know, treating it as a dry dust and try to suck it up. So yeah, it's so impressive nowadays what what it can do,

Amit Sarkar:

I think we need to appreciate the bit about cleaning is it is very complex. And also the our houses are very complex to navigate, especially for a robot that has no idea which house it is going to, it could be a house, it could be a flat, it could be a multi level, storey building, etc. So it has to have different types of sensors, it has to detect where a wall is it has to detect where the door is, it has to detect where the staircases are, so it doesn't fall off. So it has to do so many things. So you have different types of sensors. So the main type of sensor is obstacle detection. So are there any obstacles in the path could it could be a laptop, lying around a glass, a baby, a child, whatever, I mean, those are obstacles. A pet poo is an obstacle, it should not go through the pet poo, and then just make a mess of itself. And it becomes very dirty. So those are the obstacle detection, then we have wall detection, the wall detection tells it Okay, this is the end of the room. Now it has to go along the wall and clean the edges, and then do some go somewhere else. So it has an idea of Okay, how big is sizes, etc. It also needs to have some kind of measurement of how much distance it has travelled odometry. So like tires or something, the wheels, so wheels have a certain circumference. And if you keep recording the movement of how much the wheel has moved in what direction, then you can keep a track of how much distance it has travelled. So then it gets that knowledge as well. Then it has these cameras. So some have cameras, some have no cameras, some have laser detection, and some have a combination of laser detection and cameras. Now what are what are these cameras are laser detection for. They're basically for navigation. So as I said, robot vacuum cleaners, no matter where they are, I mean, wherever you buy them, they have to first learn the environment. And in order to learn the environment, what you do as a human being you first ventured out, and then you start creating a map, I came this 10 metres ahead, I saw a stone, I went 20 metres ahead, I walked for 20 minutes I saw like I saw a mountain, I saw a hill, something like that. Similarly, it has to do the navigation in its world. And it does that. So with a LIDAR technology, it's throws a laser beam. So it's similar to radar. So you instead of sending sound beams and then waiting for it to come back, it sends light, and it waits for it to come back. And then based on that it detects what kind of object it is, how far is it and it tries to create a map. And based on this map, it then navigate. And the advantage of LIDAR is that it can work in darkness as well. So even if it is dark, so in the night, when you're sleeping, you want the vacuum to go beyond, it can still work. So that's the advantage of a LIDAR based system. But of course, LIDAR base system won't have image recognition because you're not capturing any images you're just sending light. And based on the reflection and how much time it takes you record you map the environment but there is no intelligence. As in we don't have a image like we are now watching this video I'm looking at you you're looking at me, you can see my shirt colour is black, or t shirt colour is black, you are wearing red or pink shirt. So that's image recognition. So I can see your face, I can see you have a beard, I can see you're wearing with this colour shirt, I see you have some curtains, so I can get so much information. With LIDAR, I can't get all that information. So I need to have a camera. The problem with the camera is it needs light. Suppose you turn off your light, I can't see your face, I can't see what's there in the scene. So that is a limitation. But with camera, I can now see what I what I'm looking at. And if I can train the software, with machine learning and image recognition, I can then intelligently say whether it's a human being a curtain, a glass, a pet poo, a child, etc. And suppose you want to bypass that and you want to like okay, I want to have the best of both worlds. You put a LIDAR and you put a camera? especially both worlds. So these are the different types of sensors and cabin navigation systems, which are what needs to have in order to navigate through its surroundings.

Rinat Malik:

Yeah, it's very interesting because this reminds me of my thesis. Is that I had I think I was talking to you the other day. In my postgraduate diploma, I had a thesis where I had to sort of build an electric vehicle, which would map a 2D paint your room? And yeah, it was actually, it was not just similar, I think it was kind of exactly the same objective, you know, you the robot is left in a new place unknown, and it needs to find wherever the obstructions are, and then map the hole 2D plane. And interestingly enough, I use exactly that the lider technology and I had some LIDAR sensors, which would sort of, you know, understand wherever there is a structure and then, you know, as you said earlier, as well, you're very right there are complicated obstructions in a house. And, you know, you can't predict with some sort of repetitive rule of, you know, in this scenario, for example, one of the challenges that I faced was that what if there are, what if there is a, you know, a direction where the robot sort of sense the lider signal, and it shows there is no obstruction at all. But there are two large obstructions right next to each other with a bit of gap, and the lider sensor sent the signal just through that gap and thinks that there is no obstruction and tries to go through it. But the width of the robot itself in that in, you know, the robot vacuum itself is going to be no, you know, it's going to be too big to go through that gap. And what would you do in this kind of scenario? So that's, that's one of the things I did actually design an algorithm and my professor was actually quite happy with that. So basically, what I did is, it would, instead of sending one signal to see where there is obstruction, right, straight ahead, it would send a number of signals in a sort of in a circular pattern, it will rotate, say, for example, two degrees and then send five signals. And then if it finds a gap between that, it will try to understand when that, you know, the try to get the arc of that gap. So from the lider sensor, we can see the distance of the obstruction from the robot. So we get the radius. And also we get the, you know, if we get the arc, starting point and end point, then we could kind of with, you know, with reasonable accuracy, we could say, the perimeter of that arc. So which would essentially be the distance between the two obstruction.

Amit Sarkar:

Wow it's interesting.

Rinat Malik:

And yeah, so that that way, and obviously, the width of the robot is stored in the memory. So it can make a decision whether that obstruction is big enough for for it to pass through or not. So yeah, there are this kind of, I mean, mine was a university thesis, I'm sure on in commercial projects, there are a lot more sensors, as you mentioned, you know, image recognition, and LIDAR, and maybe, maybe a few others as well. And all of these information does give the robot in a powerful sort of data set, which it can utilise, and it doesn't have to have a server on board, it could just you know, because it's a smart device, it could just send it to the cloud server and get a very, like complex calculation back, you know, the result, the decision of a complex calculation back and act as a very, very sophisticated AI device.

Amit Sarkar:

It's interesting, because human beings we learn in a similar way we, we see something, we interact with it, and we learn from it. And then we see something else. And we learn from that. So it's through this feedback loop, we keep learning new things. With robots, you have fixed algorithms, in order for them to become intelligent to learn simultaneously, with the changing environment, they need to have an algorithm that is able to handle that. And that is what is happening with lot of these smart devices in our houses at the moment. They are smart because they are learning through feedback, through experience through Okay, when do you turn off the lights? Which time of the day you turn on the lights? what time of the day? And what temperature do you set normally, so it learned and then if a what's the temperature outside so based on that, what's the light, when did the sun set, when should I close the curtains, etc, etc. So these are all ways and mechanisms to learn things. And artificial intelligence is basically an algorithm, which is helping the machines learn as we, as they receive more and more information about the environment without us making decisions for them. They are making their own decisions in real time just like human beings.

Rinat Malik:

yes yes and you know with all the information that is in hand for them right now they can make complex decisions I mean there is no reason why they couldn't I mean you know in my home I have you know the smart you know the voice assistant controlling my air conditioner and my TV and a few things and I also have a thermostat which is connected to the cloud in this way and then if the thermostat temperature goes above a certain level and it can also look at my GPS looking at from my phone and if I am in my room then turn on the AC so you know it could be very you know, you could make a very complex set of rules which would really make a big difference when you like it would I mean you might think you're saving 10 seconds but you're not just saving 10 seconds you're kind of moving away from this trivial things that you had to do so you're kind of freed up with to think interesting things I mean, it doesn't have to be productive things but you are happier thinking interesting things so because you're gonna have to……

Amit Sarkar:

Yeah, definitely because I think these menial tasks they take a lot of time and energy so I mean sometimes maybe you can clean something faster, but why do you want to leave it you can just sit and sit back relax, enjoy and do your own stuff and let the robots do their own thing.

Rinat Malik:

Yes and and then there are some other implications as well for example you know if I'm lying in my bed and you know I feel a little warm I could use the you know, I could turn on the fan or the air conditioner but now I don't I don't feel like getting up and you know doing all of that so what could happen is that I might actually decide not to get up you know, I mean I'll do a balance and I decide you know, I'm just not feeling like getting up right now. So what would happen I'm actually more uncomfortable staying where I am and that might have an effect you know, butterfly effects like that might have an effect I might have a less good quality in a lower quality sleep throughout the night and then the next day I could be less productive. I mean, it could have so many things that tiny decision if that was the wrong decision. So yeah, these things make a difference and more you know, more often than not, they are positive differences

Amit Sarkar:

actually because if you look at technology and its implications A lot of times people think that it makes you lazy, but if you think the on the other side like there are so many disabled people, what about them? I mean, suppose you don't have limbs, you can't see you can't hear you don't you have mental health issues, you're depressed, you are just paralysed. Imagine with all these technology and especially save the only thing you can do is speak with your voice you can do so much you can just tell Google Okay, do this. Turn on the air conditioner you don't have to go anywhere you just tell someone to do it for you. It's an assistant for you on demand whenever you wanted. You can tell the assistant, the Google Assistant okay start the vacuum cleaner clean the house you don't have to worry about it. It makes life so much easier and especially with houses that are growing big and big and with lots of people having deciding to have children and or if you have family members in the house, it takes a lot of time in cleaning because you're cleaning constantly and now if you have a robot vacuum it can clean the house for you. And now with some of the recent robots what is happening now is that they can charge themselves they have a docking station. So suppose it knows so it knows that okay, it's going to run out of charge. So going to power goes to the docking station itself.

Rinat Malik:

Yeah, it also knows how far it is from the docking station so you know it has enough battery to be able to get back there and yeah.

Amit Sarkar:

And the latest one is you can empty the bin. So again, the problem with a vacuum cleaner is you have to empty it clean it because it doesn't have enough storage right to fit all. So you have to constantly empty it. But now there are docking stations where it can charge and also empty the entire stuff that it has collected.

Rinat Malik:

Yes, that was that was when I saw this that was so amazing. I mean I was like this is the final thing. Yes, I would hate to do .

Amit Sarkar:

So it's like okay, you take the bean out once a week. It's just like that now. So you get it. You let it clean twice or thrice a week. And then you take the been out only once, you don't have to worry about taking the bean out every single time it cleans. So I think that's, that's a game changer. And you also mentioned that when you bought a vacuum cleaner did it used to randomly navigate, those are the actually the initial days where the vacuum cleaners were not that intelligent, or they didn't have enough senses to think, where they are how to navigate. So they were randomly doing those motion. And because of that they were doing repetitive. So some areas they would clean again and again, in some areas they would miss.

Rinat Malik:

Yes, yes, absolutely. I mean, at the time, the one I had was literally just bumping into things, it's not gonna have anything, it just it just, you know, giving up and just bump into things that if it bumps in, then rotate 45 degrees, and then try again. But you know that doesn't always work very well.

Amit Sarkar:

So now with the latest one, so I was looking at some videos, the latest ones, you can define zones. So suppose there is a child playing, you can define the zone that, okay, don't go near the child. So the robot knows that, okay, when I reach this particular coordinate, I should not go beyond it. So that's it. So it takes maybe one or two cycles to map the room, depending upon which type of navigation technology, so maybe one cycle, clean cycle or two clean cycles to map the entire house, or the floor, or maybe a room. And then based on that you can define a zone because then it has a map of that room in its software. And with that knowledge, you can define the zone through the mobile app. And based on that, it knows that Okay, today, I need to clean this area. But because there is a zone defined, I should not go there, or cross that zone. So it's a it's a wall. But it's a it's an invisible wall, only in its software to tell not to go beyond this coordinate. So suppose you have something important, say a laptop laying on the floor, you don't want to keep pushing the laptop, right? So you define a zone, and then it just doesn't go there.

Rinat Malik:

Yeah, absolutely. I mean, that's the thing. I mean, it takes, you know, a few months or years to sort of for the technology to catch up. And once it does, it's just so powerful. And it definitely.

Amit Sarkar:

It is. I was initially apprehensive, I have two-story, I have a house, which is two stories. So I was quite apprehensive, like, why should I use it, it won't go under the bed. But these most of the robot vacuums are circular in shape. And they are not that high. So they are about maybe what in terms of size, they might be the size of a glass. decking glass, so maybe that thick, maybe thinner than that. So they can go into the bed, they can go into the sofa, and they can clean the edges. And sometimes they can clean even better, and you don't have to worry about it. So now I'm thinking okay, now is the time where I think it's a good time to buy your vacuum cleaner, which is a robot vacuum cleaner, because I'm about to have our first child. So I just want to share this information with our audience as well. So me and my wife, we are going to have our first child, and everyone keeps saying that life is going to be really different. And it's going to change for the good, I hope. But it also means that I will not have be able to have enough time to do all the other household chores. So it means this is the right time to invest in something that is smart, that could take away the hassle of cleaning every time something has been dropped. So when my child grows up, I can just ask the robot vacuum cleaner to just go there clean it and I don't have to pick up I can still spend time with my child rather than worrying about Okay, who will clean that? When will they clean it? Things like that.

Rinat Malik:

Yes, absolutely. I mean, that's the this actually brings me to thinking about the opportunity cost of cleaning you know now obviously, with the big change in your life in future you know the cleaning time there is opportunity costs that you could have spent it with your child so yeah, I mean there's so many meaningful positive things that this can bring. It's you know, when you start thinking about it, you realise how…

Amit Sarkar:

Exactly and these vacuum cleaners are good. I mean some of the ones from iRobot they have different types of so they have like, and the hair stuck technology so the hair doesn't get stuck in the rollers. So it's not just iRobot there is ufee , there is robo vac there are many other companies in the mix now that are creating these powerful robot vacuums and with different technologies of navigation, and when remember I was telling you about this cameras, so with AI you can now detect so many other things. So it's incredible that these companies are experimenting and investing so much of their time, money and effort into building a product that is actually very, very useful, and it adds so much value to your life. Because you don't have to worry about cleaning anymore.

Rinat Malik:

Yeah, yeah, that is, that is certainly the dream and or utopia if you'd like. Yeah, I think everything else, I'm okay with doing but if you didn't have to clean? I mean, I don't know what else could be, you know a better lifestyle than that.

Amit Sarkar:

And you know, I used to think that Okay, I have a two-story house. So it will be difficult because then I have to move the robot up and down. But now that i think i should still get it, because it has sensors to detect, okay, there is no floor beneath me, I should not go forward. So it will detect that it will not go it will not drop on its own. The technology is now at that stage where it will drop off sensors. And it has powerful suction as well. And most of these robot vacuums, they're wireless. I mean, I'm not most they all are wireless. They're not running through cords. So all your robot vacuums are wireless, which is good, they operate on their own, they have their own charging station, they have their own bin station where they can empty the dirt. I think this is and most of them have an app so you can control it. Some cheap ones may or may not have an app, but the expensive ones definitely do. So yeah, I think this is a good time to invest in something that can save a lot of your time and energy and effort. And it may not be that okay, because I have a hard floor I should not get it or I have a carpet I should not get it or I have a wooden floor I should not get it. Also these vacuum cleaners are now tested on different types of surfaces. So you can the same vacuum cleaner without the other problem with conventional vacuum cleaners is you have to change the brush. Depending on the kind of surface you're cleaning. With these vacuum cleaners, you don't have to even bother about changing the brush. It will just go and clean on any surface. It could be hard for hard floor like a stone. It could be wood it could be laminate, it could be even carpet. So yeah, so I think it's good.

Rinat Malik:

That is to dream fully automated. I mean it can handle all kinds of things. And it can empty itself it can charge itself and as well as I mean I can't tell you how excited that makes me being in our mid lives. This is these things are what excites me.

Amit Sarkar:

I mean, this is out of context about this topic. But when we think about computers and we think about automation, a lot of times people have this apprehension that okay, what will the computer events once they become self aware? What will they do with human beings and we always worry about, okay, he I will destroy humanity, we will do this. But we never think about augmentation, like how are they augmenting our reality, how they enhancing everything that we do, technology, smartphones have just changed our lives. They may made us addictive to it. But if you use it smartly, they are so useful. With a smartphone, I can navigate, I can do so many things, I can control so many different types of devices, I have so much information, I don't have to carry a map, I don't have to carry a torch, I don't have to carry a radio, I don't have to carry an iPod. It's all one device. So it's the technology has made your life so simple. So we should actually embrace it. And I was watching this episode from Foundation. The other day, it's on Apple TV, and a woman Gaal Dornick, the name of the character, she's asking the computer where she is, but the computer has not authorised is not authorised to tell her. So she is trying to figure out through maths, how to navigate what's the destination, to projection. And what she's trying to do is okay, telling the computer, okay, do the calculation for me, I don't want to do it, you do it, I'll tell you what to do. So it's like saying, okay, draw a line, now Project 90 degree, and then turn it 45 degree, and then draw cone around that. And then once they're at the centre of the cone, tell me that so that hard work that calculation, you outsource it, but you're still telling the computer what to do and how to do it. So I think that's a very good example of how technology can enhance learning.

Rinat Malik:

Yes, that is a very good point because yeah, a lot of the times we're just scared of what would you know the AI is going to take over. But you know, if they are augmenting the journey, the growth they're having, you know, slowly and you know, over a period of time this is it's not like a sudden you know, day tomorrow and it's just all self aware. Everything is no it's gonna be a slow process with a gradual adoption with humans and you know, it would keep augmenting us So, at the end of the day, even when the first AI does become self aware, it might be half human half robot to begin with, because humans have integrated themselves so much. So we don't know how it's gonna be. But right now, you could say that the robot vacuum is kind of reached, you know, the my imagination to begin. I mean, hopefully it didn't reach the peak of the developers imagination so they can keep developing it by I couldn't think of anything else that can be added I think, obviously, you know, there is a certain point where the technology reaches its sort of financially viable peak, and then it starts to come down in prices. But I think right now is still quite pricey for a regular user. But hopefully now, all of these newest, best, you know, really good practical technologies would start to come down in prices. So it could become an actual household item.

Amit Sarkar:

Definitely, definitely. And I think that's where that the game will change. Because I don't know what the future could be like for a robot vacuum, maybe it will have legs and will be just like the Boston Dynamics robot dog, it can just go from one floor to another floor.

Rinat Malik:

I think just thinking about it right now, like off the top of my head, I think another way, the next step of enhancing This is that this is a robot that has all the capabilities of moving around the whole of the house and knowing where everything is. So it could easily have an add on, where you know, as you mentioned, is right now it’s the height of a drinking glass, or I don't know, three or four inches or whatever, you know, but it could be a little bit higher, maybe it's it's carrying around a portable fridge with, you know, cans of drinks in it, or, you know, maybe it's sending a message to two different rooms, you know, maybe the parents have cooked dinner and the dinner is ready, maybe it's going and telling the children in their rooms that our dinner is ready, or some sort of message, or you know, it could have a little bit higher add on, which could serve a number of other purpose because it's already doing, it already has the hardware map and go around.

Amit Sarkar:

I think Yeah, you're right. I mean, it's it's not that high. So if you can build on top of something, you can do the navigation, do the cleaning, and also carry stuff, weights things around. And I think once we cracked the battery technology part where we have sufficient power delivery, and in a very compact space, I think that will revolutionize a lot of these smart devices, because then you can have a device charged for an entire week or even an entire month. And you don't have to worry about recharging them constantly. And because they are so powerful, and they're so energy dense, it means you can lift heavy weights, you can do a lot of other things, and you can keep running. So yeah, it's exciting future.

Rinat Malik:

is definitely a space to watch out for. But yeah, this has been a really interesting talk. To be honest, I've learned a lot. And also it was fun to talk about all of these aspects around this robot vacuum. So yeah. Our audience, if you guys have any questions or any other topics that you'd like us to cover, please do let us know. Our contact details are there in the description. So definitely do reach out. And hopefully we will again, come back to your playlist next week.

Amit Sarkar:

Yes, thank you so much everyone for listening and tuning in. What we'll do is we will share the links of how these robot vacuums work. We will also share, like what are the top vacuum cleaners you could buy. And I mean, just select one and see if you if you fancy anyone, you can go for a cheap one as well. But of course, remember that cheap one will of course have cheap sensors. So it may not be that accurate, it will still do the job. But it will not be that accurate. So bear that in mind. So the price that he pays for the navigation for the smart features, etc. Otherwise, I think even achieve one is as good as a smart, expensive one. So go for that. And yes, please let us know what topics you want to hear. We normally select topics based on the current trends. And what we also fancy because we both love technology, and that's why we host this podcast. So we want to hear from you guys what, what topics you want us to cover. And we'll try to learn about it and talk about it in this wonderful session of us. So thank you so much for listening.

Rinat Malik:

Thank you very much, guys. See you next week.

Amit Sarkar:

See you next week. Bye

Rinat Malik:

Bye

Show artwork for Tech Talk with Amit & Rinat

About the Podcast

Tech Talk with Amit & Rinat
Talks about technical topics for non-technical people
The world of technology is fascinating! But its not accessible to a lot of people.

In this podcast, Amit Sarkar & Rinat Malik talk about the various technologies, its features, practical applications and a lot more.

Please follow us to hear about a popular or an upcoming technology every week.

#Tech #Technology

Find us at
Amit Sarkar - https://linktr.ee/amit.sarkar007
Rinat Malik - https://linktr.ee/rinat.malik

Review us at - https://www.podchaser.com/podcasts/tech-talk-with-amit-rinat-1556283

About your hosts

Amit Sarkar

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Amit Sarkar is an experienced software professional with over 14 years of industry experience in technology and consulting across telecom, security, transportation, executive search, digital media, and import/export. He loves open source technologies and always keen to learn more about new tools.

Passionate about systems thinking and helping others in learning. He believes in learning concepts over tools and collaborating with people over managing them.

In his free time he tries to learn about new tools, processes, systems, or industries. And likes to focus on technologies that make our lives simpler and efficient.

His main area of work is software testing, predominantly web application and mobile application testing.

Rinat Malik

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Rinat Malik has been in the automation and digital transformation industry for most of his career.

Starting as a mechanical engineer, he quickly found his true passion in automation and implementation of most advanced technologies into places where they can be utilized the most. He started with automating engineering design processes and moved onto Robotic Process Automation and Artificial Intelligence.

He has implemented digital transformation through robotics in various global organisations. His experience is built by working at some of the demanding industries – starting with Finance industry and moving onto Human Resources, Legal sector, Government sector, Energy sector and Automotive sector. He is a seasoned professional in Robotic Process Automation along with a vested interest in Artificial Intelligence, Machine Learning and use of Big Data.

He is also an author of a published book titled “Guide to Building a Scalable RPA CoE”