Lifeboat Foundation

The killer product of robotics is hidden in plain sight and may be just a few years away. Summary The robotic space is still waiting for a truly widespread general purpose product which deeply changes our everyday life. I argue that such a product could be a low cost collaborative manipulator powered by an ecosystem of AI-based applications. It will create value in novel ways and automate tasks at an unthinkable price point, impacting both our homes and businesses. As in the case of smartphones, the real value is in the apps sitting in the app store, which will be built by a new generation of startups and creators. I analyse where we stand and I predict that we are just a few years away from seeing such a product go live. Manipulators State of the Art in Brief When thinking about manipulators or robotic arms, the first thing that pops to your mind is probably an industrial robot, as the one in the picture: These robots are precise, fast, durable and capable of lifting heavy weights. They are also very dangerous, therefore they need to be fenced and kept separate from human workers. A more recent development is the introduction of collaborative robots or cobots. These robots are generally slower than industrial robots, but they are safe to work in direct contact with humans thanks to sensors and algorithms to detect collisions and stop the robot motion just in time, enabling many new use-cases. The market leader is Universal Robotics, a Danish company which recently sold its robot number 50.000. In 2021 the cheapest UR cobot can be purchased for about 20.000 dollars, but there are more affordable competitors which are sold for less than 10.000 dollars. The future looks bright for collaborative robots and for us consumers, since the price is expected to keep going down quickly following Wright’s Law, that is the price should be reduced by a fixed percentage every times the number of units sold is doubled. Keep in mind that UR sold its robot number 25.000 in 2,018 so it doubled the number of all-time robots sold in just two years! Still, if you go through the tech specs of these arms you will start noticing something, see here and here. Current robotic arms are overqualified for many of the mundane tasks we would like them to do, for instance in our kitchens and homes. Seriously, look at the UR5, when was the last time you loaded a dishwasher with 0.1 millimeter precision? Or which kitchen appliance did you use for 35.000 hours at full capacity? Or what clothes weigh 5+ kilograms? On the other side of the tech specs there is a market for toy robots and desktop robots, which are inexpensive, but unfortunately suffer from limited arm reach, payload and overall reliability. Can a hybrid be built? I think so, and it may very well be the killer product of robotics. What does the iPhone of Robotics look like? The killer product of robotics may be a collaborative robot which is intuitive to use and low cost, by making trade offs with speed and accuracy. Drawing from my research, this is how I believe it will look like: Must Have: Low cost: Less than 1,000 USD for the robot hardware. Compatible with a wide set of end effectors, to cover multiple use cases. Lightweight and Compliant: Able to interact safely in environments with untrained staff and children, easy to physically carry around. Self-contained and Portable: it includes a computing platform, with a form factor similar to a Raspberry pi or Jetson Nano and a standard networking stack (Wifi, Bluetooth). It should be easy to deploy third party apps on it. Nice to Have: 6 Degrees of Freedom (while 7 DOF gives more flexibility, 6 DOF can already reach any position in the workspace, but are easier to control and more affordable) Reach 700mm Payload 2Kg Repeatability 1mm Max Speed 0.5 m/s Operating Lifetime 10,000 hours at full capacity. Open Source and ROS compatible Payload and Reach are very use cases dependent. If I had to pick a sweet spot for a general purpose robot, I would say 3kg and 750mm. One of the crucial points above is the possibility to install third party apps. Today, robotic companies are forced to curate the whole software-hardware stack to deliver a product, so the company building the robot behaviours (say the algorithms to control the stirring movements of an omelette-making robot) are also the companies selling the robotic hardware to the end customer. Sometimes they are also the companies building the hardware, even if it’s more common to see companies buying hardware off the shelf, say a UR cobot, and customising it. On top of this, today the same companies also build the user interface, say a mobile app, to actually control the robot. When a popular general purpose cobot will be available on the market, there will start to be a clear division between the company selling the general purpose hardware (and the onboard app-store) and the companies building apps for it, that is the skills of the cobot. Translated into the smartphone dictionary, the robot and app store store manufacturer is Apple, while the app developers are Facebook, Netflix, etc. To further stress the analogy, you may think of your smartphone as a very limited robot, with capabilities such as making sounds and coloring the screen, but with no movement capabilities (apart from vibrations!). A cobot will have multiple apps installed, exactly as our smartphones, and will be able to perform different tasks as programmed by domain experts in each use case. These domain experts will be 100% software-based robotic companies. It is in this period that we will see an exponential growth in cobot capabilities, as companies can iterate quickly in software. To sustain this demand of new use cases, companies will mainly take approaches based on computer vision, supervised learning and reinforcement learning. In the very long term, I see a further division between robotic companies building the low-level APIs to control the robot and companies specialising in building the user interface to interact with the robot, which will include mobile apps, vocal and gesture commands. In the figure: Evolution of the robotic ecosystem over time (from 2026+ on, with robot manufacturers I’m only referring to the manufacturers of cobots allowing third party apps). The years indicate approximately the predicted first time we will see these models hitting the market. What will we use these collaborative robots for? Pretty much everything. Let’s do a quick calculation to see why I say this. Let’s assume that the apps will have a subscription fee comparable to today’s smartphone apps, say the approximately 20 USD of Nextlix monthly subscription. By the way, given the success of the freemium model for mobile apps, I would not be surprised to see free to use robot skills. Also let’s say that each cobot will last about 3 years. This is much less than what a cobot could last, but it’s in line with the replacement cycle of our high end gadgets such as smartphones (we should strive to do better, the environment would be thankful). As a final assumption, let’s add another 30 USD monthly for a subscription package that includes robot maintenance and support plus the cost of electricity. Over 3 years, that’s about 50 × 36 + 1,000 = 3,000 USD to buy the robot and use it with only 1 app, or 3 USD every day. Let’s take as a reference the lowest possible minimum wage in London, the one for apprentices, which is about 5 USD per hour. This means that for the robot investment to breakeven, it’s enough to have the robot automate just 36 minutes worth of tasks a day! With the 2022 15 USD minimum wage in California, this goes down to 12 minutes! Personally I’m very excited by the role that they will play in removing repetitive tasks in our kitchens, lowering the cost of preparing food and increasing consistency without compromising on food quality. The first deployments will be in commercial kitchens, including dark kitchens, cafeterias and restaurants, and then they will start entering the home kitchen market. For commercial kitchens this will be the second wave of robotics, as more expensive collaborative robots are starting to enter kitchens as we speak, given that their economics are viable today. I may cover this topic in a future blog post. Inside our homes they will take on tasks like washing machine load/unloading, clothes folding, laundries and overall home clean-up. There are multiple ways for manipulators to be able to move to different places, including being mounted on mobile bases and rails, but I believe we will see very low tech solutions get traction first: small fixed bases where the robot can clamp and get power, after being physically moved there by the owner (a “robot charger”?). Other areas that will be impacted by low cost robots include areas with repetitive manual actions like laboratories, hospitals, agriculture, packaging, light manufacturing and remote areas which require infrequent manual intervention. We will also see completely novel applications in the area of communication (“physical” zoom calls!?), remote work and entertainment. I want to stress that all these use cases are very price sensitive, so it’s really the ability of robot manufacturers to offer very low cost that will enable this ecosystem to start blossoming. I see the low cost coming from four main sources: Lowering of all the specs that makes current collaborative robots overqualified. The decoupling of selling hardware vs selling the final use case. New revenue streams: app-store fees, data-mining, new advertisement channels. Robotic-as-a-Service business models, that is other revenue streams in the form of support, maintenance, upselling. Where we stand and what to expect next Let’s start from the hardware, how far are we all from good-enough specs at a good price point? There is work to do, but we are getting there. This is an early stage prototype that we built last year at Nyrvan (in 2 weeks, we didn’t tune the PID parameters much, which resulted in quite some shaking!) The 6 DOF cobot in the video could perform basic kitchen tasks, with a 1kg payload. We used carbon fiber tubes for the links, we 3D printed the joints structure in PLA (probably something with higher heat resistance would have been better), used an Arduino as computing unit and a 48V power supply. All these components can be bought cheaply on Amazon. The lion share of the bill of materials is taken by the actuators. We have chosen the servo brushless motors from Gyems model RMD-X7, RMD-X8 and RMD-X8 PRO, for about 2000 USD in total. Another option that we considered was T-Robot. In total we spent less than 2,500 USD to assemble a cobot, buying all the components at retail price. Actually bulk discounts are consistent for these robotic components, going up to 40%. As building hardware is not our focus, this was simply an excellent exercise in probing the future of robotics. During my research, I have discovered interesting projects and startups which look well equipped to offer or inspire these robotic platforms in the future. I’m going to cover a few of those here, but I’m surely missing many good ones. Please let me know about other promising projects in the comments! Project Blue from Berkeley’s Robot Learning Lab developed a Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation, which can be used for daily tasks such as folding clothes. They also included a manufacturing BoM estimate in the paper, in which they show they can bring the cost of the robot arm down to 1,250 USD, assuming 10.000 units sold. Elephant Robotics is selling myCobot which introduces the very interesting concept of selling small cobots with an integrated computing unit (a Raspberry Pi). The cobots can integrate with ROS and overall they tick many of the boxes of an iPhone of robotics. Innfos is another Chinese company, with a very interesting modular robotic arm, with amazing specs for less than 1,000 USD. Unfortunately, after a successful kickstarter campaign, they had internal issues and had to close the company. A shout out also to Skyentific 0 which runs a super thoughtful youtube channel on robotics. I spoke with him some time ago, he is really a cool guy and he is spreading a lot of knowledge on low cost robotic arms. Overall the area is still very niche and projects often have troubles going from early stage to growth stage: it’s hard to get funded, since there is a strong bias against hardware-heavy projects by angel investors and venture capitalists. Part of the problem is also due to the lack of demand, since in the past it was very hard to program collaborative robots and therefore hard and expensive to build actual products out of collaborative robots. Now, I would not say that today it’s easy to build robotic software (very often the best backend/frontend/devops practices are ignored in robotics, in which a good share of developers comes from an academic or mechanical/electronics background), but things are getting way more standardised and scalable thanks to standards like the Robotic Operating System and large pretrained computer vision models. Advancement in AI models applied to control and manipulation are also opening up dynamic use-cases like pick-and-place of arbitrary objects. Regarding a proper app store, it’s a chicken-egg issue, we will not see it until an affordable general-purpose cobot platform pops up. Also today there is a very small number of developers able to program these robots and they are employed by the companies selling vertically the use-case. So, what to expect next? We can expect the cost of the hardware to keep going down in the next few years, thanks to the increasing sales and the improving state of the software development cost. Tech directions to lower the cost of the cobots hardware also include: Using modular designs, therefore cutting down the cost of each degree of freedom thanks to economies of scale. Using gearless motors and other last gen motors to get rid of expensive force-torque sensors, brakes and harmonic gears. Using vision based control, to ease inverse kinematics and reduce the cost of position encoders and sensors. In terms of geography, all indications point to Chinese companies taking the lead in terms of development, at least regarding the hardware platform. The software situation is much more distributed. I think it would be nice to conclude this blogpost with an actual prediction, so here we go: If I had to guess the exact timeline, I would say that we will see a collaborative robot with the specs and price-point written above announced by the end of 2,026 so 5 years. I believe shortly after, say 1–2 years, we will see the first ecosystem approaches and the first cobots shipping with an app-store. What do you think? Let me know in the comments!

Google has announced a raft of new features at its Search On event, which will use AI to help users explore the question’s they’re asking. These include “Things to Know” and options to “refine” or “broaden” users’ searches.

Camp Peavy, what do you think?

#OpenFembot Can a Robot Have a Sense of Humor? Can we build AI with a sense of humor? Thomas wants Simone to re-enact a scene from 2001 a Space Odyssey, but Simone wants to tell jokes.

I agree with Elon.

Elon Musk repeated prior criticisms of fellow billionaire space mogul Jeff Bezos, as their respective companies continue to battle in federal court and in front of regulators.

“I think I’ve expressed my thoughts on that front — I think he should put more of his energy into getting to orbit, [rather] than lawsuits,” Musk said Tuesday at the CodeCon 2021 conference in Beverly Hills, California. “You cannot sue your way to the moon, no matter how good your lawyers are,” Musk added. Bezos’ Blue Origin is suing SpaceX, by way of NASA, in the U.S. Federal Court of Claims over a $2.9 billion astronaut lunar lander contract the agency awarded Musk’s company earlier this year.

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The intricate balance between cell death and survival is essential for normal development and for preventing diseases such as cancer and autoimmunity.

Cell death is not always detrimental. In fact, cell death is essential for normal development and for maintaining tissue homeostasis. All tissues must be able to tightly control cell numbers and protect themselves from rogue or unwanted cells that could disrupt homeostasis. In self renewing tissues, such as the skin or bone marrow, cell death is vital to make room for the many new cells every day. Cell death also plays a critical role in removing damaged, dysfunctional or potentially dangerous cells such as tumour cells and cells infected by viruses.

However, when this normal process goes awry it can have dire consequences. Impaired survival, excessive cell death and the loss of vital cells within healthy tissues is known to contribute to the development and progression of many conditions including many degenerative and autoimmune diseases. Conversely, too little cell death may promote the survival and accumulation of abnormal cells that can give rise to tumour formation and cancer. Understanding the intricate balance between cell death and cell survival in disease is hugely important. It not only gives an insight into the pathogenesis of a disease but may provide clues on how the disease can be treated.

Talk about comets or asteroids coming anywhere near us and mind immediately goes back to what happened to dinosaurs. It just needed a space rock to end the reign of those fearsome reptiles who dominated nearly the entire foodchain. The asteroid that killed dinosaurs was just 10 kilometres across. But now a comet larger than Mars’s moons is speeding up toward the solar system.

Bernardinelli-Bernstein comet is a mammoth! Remember Hale-Bopp? The comet that went around us in the year 1997? It was called a massive comet. And Bernardinelli-Bernstein is 10 times the mass of Hale-Bopp.

Also Read | NASA posts image of ‘Hand of God’, netizens are awestruck.

Similarly, the CNSA told the Chinese state-run news outlet Global Times that its Tianwen-1 space probe and Zhurong rover will pause their work and enter safe mode during the transit.

But just because the rovers aren’t getting any new instructions doesn’t mean they’re stopping altogether.

“Though our Mars missions won’t be as active these next few weeks, they’ll still let us know their state of health,” the NASA Jet Propulsion Laboratory’s Mars Relay Network manager, Roy Gladden, said in the NASA announcement. “Each mission has been given some homework to do until they hear from us again.”

Introduction

The Fulfillment Platform is a foundational Uber domain that enables the rapid scaling of new verticals. The platform handles billions of database transactions each day, ranging from user actions (e.g., a driver starting a trip) and system actions (e.g., creating an offer to match a trip with a driver) to periodic location updates (e.g., recalculating eligible products for a driver when their location changes). The platform handles millions of concurrent users and billions of trips per month across over ten thousand cities and billions of database transactions a day.

In the previous article, we introduced the Fulfillment domain, highlighted challenges in the previous architecture, and outlined the new architecture.

Isaac Asimov won the Hugo award for Best All-Time Series for his Foundation books, which follow a future human civilization through an apparently inevitable upheaval. The story begins amid a vast galactic empire in decline. Hari Seldon, a mathematician, develops the practice of psychohistory, a method of predicting future events using statistics.

Seldon predicts the fall of the galactic empire lasting 300,000 years. By his calculations, there’s no preventing the oncoming storm, but they can shift its trajectory. With a few small changes, humanity can reduce the period of recovery to just 1,000 years. Seldon is confident enough in his predictions that he convinces the authorities to let him create two gatherings of minds. Collections of scientists who will preserve humanity’s collected knowledge and lift future generations out of the looming dark age, known as the Foundations.

Continue reading “Predicting the end of humanity with maths: The Science of ‘Foundation’” »