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There’s no doubt this past year has been a major watershed moment for the robotics industry. Warehouse and logistics have been a particular target for an automation push, as companies have worked to keep the lights on amidst stay at home orders and other labor shortages.
MIT spinoff Pickle is one of the latest startups to enter the fray. The company launched with limited funding and a small team, though it’s recently changed one of these, telling TechCrunch this week that it has raised $5.57 million in funding during this hot investment streak. The seed round was led by Hyperplane and featured Third Kind Venture Capital, Box Group and Version One Ventures, among others.
The company’s making some pretty big claims around the efficacy of its first robot named, get this, “Dill” (the company clearly can’t avoid a clever name). It says the robot is capable of 1,600 picks per hour from the back of a trailer, a figure it claims is “double the speed of any competitors.”
CEO Andrew Meyer says collaboration is a key to the company’s play. “We designed people into the system from the get-go and focused on a specific problem: package handling in the loading dock. We got out of the lab and put robots to work in real warehouses. We resisted the fool’s errand of trying to create a system that could work entirely unsupervised or solve every robotics problem out there.”
Orders for the first product targeted at trailer unloading will open in June, with an expected ship date of early 2022.
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Self-driving and robotics startup Cartken has partnered with REEF Technology, a startup that operates parking lots and neighborhood hubs, to bring self-driving delivery robots to the streets of downtown Miami.
With this announcement, Cartken officially comes out of stealth mode. The company, founded by ex-Google engineers and colleagues behind the unrequited Bookbot, was formed to develop market-ready tech in self-driving, AI-powered robotics and delivery operations in 2019, but the team has kept operations under wraps until now. This is Cartken’s first large deployment of self-driving robots on sidewalks.
After a few test months, the REEF-branded electric-powered robots are now delivering dinner orders from REEF’s network of delivery-only kitchens to people located within a 3/4-mile radius in downtown Miami. The robots, which are insulated and thus can preserve the heat of a plate of spaghetti or other hot food, are pre-stationed at designated logistics hubs and dispatched with orders for delivery as the food is prepared.
“We want to show how future-forward Miami can be,” Matt Lindenberger, REEF’s chief technology officer, told TechCrunch. “This is a great chance to show off the capabilities of the tech. The combination of us having a big presence in Miami, the fact that there are a lot of challenges around congestion as COVID subsides, still shows a really good environment where we can show how this tech can work.”
Lindenberg said Miami is a great place to start, but it’s just the beginning, with potential for the Cartken robots to be used for REEF’s other last-mile delivery businesses. Currently, only two restaurant delivery robots are operating in Miami, but Lindenberger said the company is planning to expand further into the city and outward into Fort Lauderdale, as well as other large metros the company operates in, such as Dallas, Atlanta, Los Angeles and eventually New York.
Lindenberger is hoping the presence of robots in the streets can act as a “force multiplier,” allowing them to scale while maintaining quality of service in a cost-effective way.
“We’re seeing an explosion in deliveries right now in a post-pandemic world and we foresee that to continue, so these types of no-contact, zero-emission automation techniques are really critical,” he said.
Cartken’s robots are powered by a combination of machine learning and rules-based programming to react to every situation that could occur, even if that just means safely stopping and asking for help, Christian Bersch, CEO of Cartken, told TechCrunch. REEF would have supervisors on site to remotely control the robot if needed, a caveat that was included in the 2017 legislation that allowed for the operation of self-driving delivery robots in Florida.
“The technology at the end of the day is very similar to that of a self-driving car,” said Bersch. “The robot is seeing the environment, planning around obstacles like pedestrians or lampposts. If there’s an unknown situation, someone can help the robot out safely because it can stop on a dime. But it’s important to also have that level of autonomy on the robot because it can react in a split second, faster than anybody remotely could, if something happens like someone jumps in front of it.”
REEF marks specific operating areas on the map for the robots and Cartken tweaks the configuration for the city, accounting for specific situations a robot might need to deal with, so that when the robots are given a delivery address, they can make moves and operate like any other delivery driver. Only this driver has an LTE connection and is constantly updating its location so REEF can integrate it into its fleet management capabilities.
Eventually, Lindenberger said, they’re hoping to be able to offer the option for customers to choose robot delivery on the major food delivery platforms REEF works with like Postmates, UberEats, DoorDash or GrubHub. Customers would receive a text when the robot arrives so they could go outside and meet it. However, the tech is not quite there yet.
Currently the robots only make it street-level, and then the food is passed off to a human who delivers it directly to the door, which is a service that most customers prefer. Navigating into an apartment complex and to a customer’s unit is difficult for a robot to manage just yet, and many customers aren’t quite ready to interact directly with a robot.
“It’s an interim step, but this was a path for us to move forward quickly with the technology without having any other boundaries,” said Lindenberger. “Like with any new tech, you want to take it in steps. So a super important step which we’ve now taken and works very well is the ability to dispatch robots within a certain radius and know that they’re going to arrive there. That in and of itself is a huge step and it allows us to learn what kind of challenges you have in terms of that very last step. Then we can begin to work with Cartken to solve that last piece. It’s a big step just being able to do this automation.”
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Japanese space startup Gitai has raised a $17.1 million funding round, a Series B financing for the robotics startup. This new funding will be used for hiring, as well as funding the development and execution of an on-orbit demonstration mission for the company’s robotic technology, which will show its efficacy in performing in-space satellite servicing work. That mission is currently set to take place in 2023.
Gitai will also be staffing up in the U.S., specifically, as it seeks to expand its stateside presence in a bid to attract more business from that market.
“We are proceeding well in the Japanese market, and we’ve already contracted missions from Japanese companies, but we haven’t expanded to the U.S. market yet,” explained Gitai founder and CEO Sho Nakanose in an interview. So we would like to get missions from U.S. commercial space companies, as a subcontractor first. We’re especially interested in on-orbit servicing, and we would like to provide general-purpose robotic solutions for an orbital service provider in the U.S.”
Nakanose told me that Gitai has plenty of experience under its belt developing robots which are specifically able to install hardware on satellites on-orbit, which could potentially be useful for upgrading existing satellites and constellations with new capabilities, for changing out batteries to keep satellites operational beyond their service life, or for repairing satellites if they should malfunction.
Gitai’s focus isn’t exclusively on extra-vehicular activity in the vacuum of space, however. It’s also performing a demonstration mission of its technical capabilities in partnership with Nanoracks using the Bishop Airlock, which is the first permanent commercial addition to the International Space Station. Gitai’s robot, codenamed S1, is an arm–style robot not unlike industrial robots here on Earth, and it’ll be showing off a number of its capabilities, including operating a control panel and changing out cables.
Long-term, Gitai’s goal is to create a robotic workforce that can assist with establishing bases and colonies on the Moon and Mars, as well as in orbit. With NASA’s plans to build a more permanent research presence on orbit at the Moon, as well as on the surface, with the eventual goal of reaching Mars, and private companies like SpaceX and Blue Origin looking ahead to more permanent colonies on Mars, as well as large in-space habitats hosting humans as well as commercial activity, Nakanose suggests that there’s going to be ample need for low-cost, efficient robotic labor – particularly in environments that are inhospitable to human life.
Nakanose told me that he actually got started with Gitai after the loss of his mother – an unfortunate passing he said he firmly believes could have been avoided with the aid of robotic intervention. He began developing robots that could expand and augment human capability, and then researched what was likely the most useful and needed application of this technology from a commercial perspective. That research led Nakanose to conclude that space was the best long-term opportunity for a new robotics startup, and Gitai was born.
This funding was led by SPARX Innovation for the Future Co. Ltd, and includes funding form DcI Venture Growth Fund, the Dai-ichi Life Insurance Company, and EP-GB (Epson’s venture investment arm).
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Today, the U.S. exceeded three million COVID-19 cases and 132,000 deaths. In several states, new hotspots have rolled back plans to reopen businesses. The novel coronavirus has — and will continue — to profoundly impact the way we live and work.
For the moment, that includes a shift in the employment status of many Americans. More than 50 million people have filed for unemployment since mid-March. And while many states have made efforts to reopen businesses and return some sense of normality, these moves have led to a spike in cases and may prolong the pandemic and its ongoing economic impact.
Technology has been a lifeline for many, from food delivery to the 3D printing I highlighted last week, which has worked to address a nation suffering from personal protective equipment shortages. Automation and robotics have also been a constant in conversations around tech’s battle against COVID-19.
Robots don’t get sick, tired or emotionally burnt out, and unlike us, they aren’t walking, talking disease vectors. Automation advocates like to point to the “three Ds” of dull, dirty and dangerous jobs that will eventually be replaced by a robotic workforce, but in the age of COVID-19, nearly any essential job qualifies.
The robotic invasion has already begun in earnest. The service, delivery, health care and sanitation industries in particular have all opened a massive gap over the past several months that automation has been more than happy to roll right through. A recent report from The Brookings Institute notes that automation arrives in the workforce in fits and starts — most notably, during times of economic downturn.
“Robots’ infiltration of the workforce doesn’t occur at a steady, gradual pace. Instead, automation happens in bursts, concentrated especially in bad times such as in the wake of economic shocks, when humans become relatively more expensive as firms’ revenues rapidly decline,” the study found. “At these moments, employers shed less-skilled workers and replace them with technology and higher-skilled workers, which increases labor productivity as a recession tapers off.”
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At its Build developer conference, Microsoft today announced that Project Bonsai, its new machine teaching service, is now in public preview.
If that name sounds familiar, it’s probably because you remember that Microsoft acquired Bonsai, a company that focuses on machine teaching, back in 2018. Bonsai combined simulation tools with different machine learning techniques to build a general-purpose deep reinforcement learning platform, with a focus on industrial control systems.
It’s maybe no surprise then that Project Bonsai, too, has a similar focus on helping businesses teach and manage their autonomous machines. “With Project Bonsai, subject-matter experts can add state-of-the-art intelligence to their most dynamic physical systems and processes without needing a background in AI,” the company notes in its press materials.
“The public preview of Project Bonsai builds on top of the Bonsai acquisition and the autonomous systems private preview announcements made at Build and Ignite of last year,” a Microsoft spokesperson told me.
Interestingly, Microsoft notes that project Bonsai is only the first block of a larger vision to help its customers build these autonomous systems. The company also stresses the advantages of machine teaching over other machine learning approaches, especially the fact that it’s less of a black box approach than other methods, which makes it easier for developers and engineers to debug systems that don’t work as expected.
In addition to Bonsai, Microsoft also today announced Project Moab, an open-source balancing robot that is meant to help engineers and developers learn the basics of how to build a real-world control system. The idea here is to teach the robot to keep a ball balanced on top of a platform that is held by three arms.
Potential users will be able to either 3D-print the robot themselves or buy one when it goes on sale later this year. There is also a simulation, developed by MathWorks, that developers can try out immediately.
“You can very quickly take it into areas where doing it in traditional ways would not be easy, such as balancing an egg instead,” said Mark Hammond, Microsoft general manager for Autonomous Systems. “The point of the Project Moab system is to provide that playground where engineers tackling various problems can learn how to use the tooling and simulation models. Once they understand the concepts, they can apply it to their novel use case.”
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For the past month, VC investment pace seems to have slacked off in the U.S., but deal activities in China are picking up following a slowdown prompted by the COVID-19 outbreak.
According to PitchBook, “Chinese firms recorded 66 venture capital deals for the week ended March 28, the most of any week in 2020 and just below figures from the same time last year,” (although 2019 was a slow year). There is a natural lag between when deals are made and when they are announced, but still, there are some interesting trends that I couldn’t help noticing.
While many U.S.-based VCs haven’t had a chance to focus on new deals, recent investment trends coming out of China may indicate which shifts might persist after the crisis and what it could mean for the U.S. investor community.
Image Credits: PitchBook
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You’ve no doubt heard about the three Ds of automation. Somatic’s robot handily qualifies for two. I’d say “dangerous” is probably a bit of a stretch here, but the robot is well-focused on replacing a job that’s generally regarded as both “dirty” and “dull.”
The startup, which is ostensibly based in the New York area (it’s a small, geographically dispersed team in search of a more permanent home) effectively came out of stealth onstage at TC Sessions: Robotics + AI at UC Berkeley. Its first product is a large, commercial restroom cleaning robot.
CEO Michael Levy compares the device to a “minifridge with a robot arm attached to the front.” Levy, who co-founded the company with CTO Eugene Zasoba, says he was inspired to develop a robot for bathroom cleaning after years spent working his way up at his grandfather’s restaurant.
“When I grew up, I did a bunch of jobs. He said, if you want to get to the register, you have start in the bathroom,” he explains. “The reason bathrooms are such a good application, because everything is bolted down to the floor. Things move in a predictable way. All commercial bathrooms built after 1994 are ADA compliant. What’s good for robotics is that lays a specific design.”
The static nature of most commercial restrooms means that robots only have to train on a space once. The team does the work remotely now, using a VR simulation of the bathroom to show the robot where to spray and wipe chemicals, vacuum and blow-dry. It’s an activity the team affectionately refers to as “the worst video game, ever.” Once all of that is in place, the robot uses a variety of sensors, including lidar, to navigate around.

The robot will clean a restroom, then go to recharge and refill chemicals as needed. It should get around eight hours of cleaning done in a day and can even open doors and ride the elevator to get around buildings, according to Levy.
Prime targets include airports, casinos, office spaces and other spots with large commercial restrooms. The robot will be leased out for around $1,000 a month, after a trial phase. Somatic already has a handful of customers, including a FAANG company, whose offices are already being cleaned by the robot.

The first model was created with help from $50,000 in bootstrapped funds, to which Somatic has added $300,000, including $150,000 from SOSV.
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Today’s your last day to score early-bird pricing on tickets to TC Sessions: Robotics + AI 2020, which takes place on March 3. If you want to keep $150 in your wallet, beat the deadline and buy your ticket here before the clock strikes 11:59 p.m. (PT) tonight!
Our one-day conference dedicated to robotics and AI — the good, the bad and the challenging — features interviews, panel discussions, Q&As, workshops and demos. Join roughly 1,500 experts, visionaries, creators, founders, investors, researchers and engineers. Rub elbows, network and engage with current and aspiring leaders, as well as students poised to drive future innovation.
We have a stellar line up, and just because we’re biased doesn’t mean we’re wrong. I mean come on — assistive robots, ethics and AI, the state of VC investment and robot demos. And that’s just for starters. Here are a couple of specific examples (peruse the full agenda right here):
And in case you haven’t heard, we’ve added Pitch Night, a mini pitch-off, into the mix this year. We’re accepting applications until tomorrow, February 1. This is no time for fence-sitting! Apply to compete in Pitch Night now. TechCrunch editors will review the applications and choose 10 startups to pitch at a private event the night before the conference. A panel of VC judges will select five teams as finalists. Those founders will pitch again the next day — live from the Main Stage. It’s awesome exposure that could take your startup to the next level.
If you love robots, you need to be at TC Sessions: Robotics + AI 2020 on March 3. And there’s no point paying more than necessary. Today’s the last day to buy an early-bird ticket. Buy yours before the deadline expires at 11:59 p.m. (PT) and save $150.
Is your company interested in sponsoring or exhibiting at TC Sessions: Robotics + AI 2020? Contact our sponsorship sales team by filling out this form.
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No one ever wants to pay more, and that’s as true for well-financed companies as it is for early-stage startup founders on a shoe-string budget. So if you love robots and machine learning, why spend more on your ticket to TC Sessions: Robotics + AI 2020? Prices go up on January 31, which means you have just one day left to buy an early-bird ticket. You’ll save a tidy $150 in the process. Sweet!
On March 3, roughly 1,500 attendees will spend the day delving into the future of robots, the AI that drives them and the people at the forefront. We’re talking some of the top makers, visionaries, founders, investors and engineers. Join your community for live interviews, panel discussions, demos, workshops, audience/speaker Q&As and world-class networking.
We’ve posted the day’s agenda, and we’ll add a few more surprises in the coming weeks. Here’s a quick peek at just some of the engaging speakers and presentations you’ll enjoy:
In a classic “but wait, there’s more” moment, our Pitch Night finalists will present live on the Main Stage. Don’t know what we’re talking about? Read more about Pitch Night here, and hey — we’re accepting applications until February 1. Don’t wait — toss your hat into the ring. It’s free, and you’ll have a chance to introduce your early-stage startup to a group of heavy-hitting influencers. What’s not to love?
TC Sessions: Robotics + AI 2020 takes place on March 3. You have plenty of time to plan the day, but your opportunity to save $150 runs out in one short day. Prices go up on January 31 — buy your early-bird ticket today.
Is your company interested in sponsoring or exhibiting at TC Sessions: Robotics + AI 2020? Contact our sponsorship sales team by filling out this form.
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We’re counting the days (35 to be precise) until TC Sessions: Robotics + AI 2020 takes place on March 3 in Berkeley, Calif. But we’re also counting the days that you can save on the price of admission. The early-bird pricing ends in just three days, on January 31. Buy your ticket right here before that bird flies south, and you’ll save $150.
This single-day conference features interviews, panel discussions, Q&As and demos with the leaders, founders and investors focused on the future of robotics and AI. TechCrunch editors will interview the people making it happen, explore the promise, expose the hype and address the challenges of these revolutionary industries.
The lineup, as impressive as ever, also includes workshops and demos, because who doesn’t want to see robots in action? From autonomous cars and assistive robotics to advances in agriculture and outer space, our conference agenda covers the leading edges of the complex and exciting world of robots and AI.
Here’s a taste of what we’re serving:
We’ve added a new, exciting element this year. It’s Pitch Night, a sort of mini Startup Battlefield. The night before the conference, 10 teams will pitch to an audience of VCs and other influencers at a private event. Judges will choose five finalists, and those teams will pitch again from the Main Stage at the conference. We’re taking applications until February 1, so apply right here. It’s free, and a great way to showcase your startup to the people who can supercharge your startup dreams.
Don’t miss your chance to learn from, share with and pitch to the brightest minds, makers, investors and researchers in robotics and AI. And don’t miss out on serious savings. Buy an early-bird ticket to TC Sessions: Robotics + AI 2020 — before prices go up on January 31 — and you’ll keep $150 in your wallet.
Is your company interested in sponsoring or exhibiting at TC Sessions: Robotics + AI 2020? Contact our sponsorship sales team by filling out this form.
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