robotics

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Activ Surgical raises $15 million to advance autonomous and collaborative robotic surgery

Boston-based startup Activ Surgical has raised a $15 million round of venture funding led by ARTIS Ventures, and including participation from LRVHealth, DNS Capital, GreatPoint Ventures, Tao Capital Partners and Rising Tide VC. The round will help Activ continue to develop and expand availability of its software platform, which it launched to market in May.

Activ Surgical’s ActivEdge platform uses data collected from surgical implements outfitted with sensors created by the company to collect real-time data during the actual surgical process. That data is then used to inform the development of machine learning and AI-based visualizations that can provide guidance to surgeons and surgical systems to help them reduce the occurrence of potential errors, and ultimately improve outcomes for patients.

The company’s primary aim is to bring technological innovation to the sphere of surgical vision, which still relies primarily on methods like using fluorescent dyes that date back more than 70 years. Activ wants to use computer vision to provide real-time visual insight into things that surgeons wouldn’t be able to see on their own — and ultimately to use those insights to power the next generation of both collaborative surgical robots and eventually even fully autonomous robotic surgical procedures.

ActivSight is the company’s first product in its ActivEdge platform offering, and is a small, connected imaging coddle that can be attached to existing laparoscopic and arthroscopic surgical instruments. The company is currently tracking toward getting their hardware cleared by the FDA for use by Q4 this year, and are working with eight hospital partners for pilot projects in the U.S.

The company has raised a total of $32 million in funding to date.

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Autonomous drone startup Skydio raises $100 million and launches the X2 commercial drone

Skydio has raised a $100 million Series C funding round, which was led by Next47 and includes participation from other new investors Levitate Capital and NTT DOCOMO Ventures, as well as existing investors a16z, IVP and Playground. This new funding will help the drone maker move faster on its product development efforts, and expand its go-to-market strategy to cover not only consumer applications, but also enterprise and public sector drone technology, the company says. To serve the market, Skydio also launched the X2 family of drone hardware today, which is designed for commercial use.

Founded in 2014, Skydio has raised $170 million total and launched two consumer-focused drones to date, both of which employ artificial intelligence technology to give them autonomous navigation capabilities. This means their drones can actively track objects and people, while simultaneously avoiding potential collisions with objects, including trees, power lines and other obstacles. The end result is video that looks like it was recorded by a professional film crew in a helicopter, but available to the general consumer market in a sub-$1,000 price point.

The first Skydio drone, the R1, was launched in 2018, and retailed for $2,499. Its intelligence and tracking capabilities were impressive, and were later improved via software updates and the second-generation hardware, which launched last year and is currently available for order.

Skydio’s new X2 drone platform is designed for enterprise use, and will ship in Q4 of this year, according to the company. It includes an onboard 360-degree superzoom camera, a FLIR 320×256 resolution thermal imaging camera, a battery life of 35 minutes of flying time and a maximum range of 6.2 miles. There’s also a Skydio Enterprise Controller for the drone, which has a touchscreen, hardware controls and a protective hood to block glare.

The move from consumer to enterprise makes a lot of sense for Skydio; the same collision avoidance features and easy piloting for which the company has received praise in the consumer world are very applicable in enterprise use. The company says that its close-proximity avoidance tech, which allows for very tight tolerances in flight, make it a great candidate for doing things like remote infrastructure and equipment inspection, where having a person do those would be dangerous or impossible.

X2 can also capture 180-degree images directly above itself, which makes it uniquely capable of inspecting bridge spans and other overhead construction from a different perspective than is offered by many rotor-drones like this one. And the infrared coverage means it can operate day and night, and provide heat-maps of targets.

Skydio will still serve the consumer market as well, but this progression throughout its brief history is likely a very attractive one for investors: The company went from an expensive, but highly capable, consumer product accessible only to a few individuals, to a much more accessibly priced but still high-tech offering, and now appears to be turning the economies it has realized in its tech to the potentially much more lucrative enterprise hardware and software arena.

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As pandemic drags on, interest in automation surges

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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RIOS comes out of stealth to announce $5M in funding for ‘industry-agnostic’ robotics

Bay Area-based robotics startup RIOS is coming out of stealth today to announce $5 million in funding. The round is being led by Valley Capital Partners and Morpheus Ventures, with participation from a long list of investors, including Grit Ventures, Motus Ventures, MicroVentures, Alumni Ventures Group, Fuji Corporation and NGK Spark Plug Co.

The move comes during a time of increased interest in factory automation. A number of different startups have received massive funding of late, including Berkshire Grey’s massive $263 million raise in January. RIOS’s raise is considerably smaller, of course, but the young company has more to prove.

Even so, investors are clearly eyeing automation with great interest amid an ongoing global pandemic that has both screeched many industries to a halt and led many to look to alternative production elements that remove the human element of virus transmission.

RIOS was founded in 2018, as a spin-out of Stanford University, with help from a number of Xerox PARC engineers. The startup has operated in stealth for the past year and a half while testing its technologies with a select group of partners.

The company’s first product is DX-1, a robot designed for a variety of industrial tasks, including static bin picking and conveyor belt operations. The system is powered by the company’s AI stack, including a perception system and a variety of tactile sensors mounted on the robotic hand.

The plan is to charge a monthly fee for the robotic system that includes a variety of services, including programming, maintenance, monitoring and regular updates.

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Jeremy Conrad left his own VC firm to start a company, and investors like what he’s building

When this editor first met Jeremy Conrad, it was in 2014, at the 8,000-square-foot former fish factory that was home to Lemnos, a hardware-focused venture firm that Conrad had co-founded three years earlier.

Conrad — who as a mechanical engineering undergrad at MIT worked on self-driving cars, drones and satellites — was still excited about investing in hardware startups, having just closed a small new fund even while hardware was very unfashionable (and remains challenging). One investment his team made around that time was in Airware, a company that made subscription-based software for drones and attracted meaningful buzz and $118 million in venture funding before shutting down in 2018.

By then, Conrad had already moved on — though not from his love of hardware. He instead decided in late 2017 that a nascent team that was camping out at Lemnos was onto a big idea relating to the future of construction. Conrad didn’t have a background in real estate or, at the time, a burning passion for the industry. But the “more I learned about it — not dissimilar to when I started Lemnos — it felt like there was a gap in the market, an opportunity that people were missing,” says Conrad from his home in San Francisco, where he has hunkered down throughout the COVID-19 crisis.

Enter Quartz, Conrad’s now 1.5-year-old, 14-person company, which quietly announced $7.75 million in Series A funding earlier this month, led by Baseline Ventures, with Felicis Ventures, Lemnos and Bloomberg Beta also participating.

What it’s selling to real estate developers, project managers and construction supervisors is really two things, which is safety and information.

Here’s how it works: Using off-the-shelf hardware components that are reassembled in San Francisco and hardened (meaning secured to reduce vulnerabilities), the company incorporates its machine-learning software into this camera-based platform, then mounts the system onto cranes at construction sites. From there, the system streams 4K live feeds of what’s happening on the ground, while also making sense of the action.

Say dozens of concrete-pouring trucks are expected on a construction site. The cameras, with their persistent view, can convey through a dashboard system whether and when the trucks have arrived and how many, says Conrad. It can determine how many people on are on a job site, and whether other deliveries have been made, even if not with a high degree of specificity.

“We can’t say [to project managers] that 1,000 screws were delivered, but we can let them know whether the boxes they were expecting were delivered and where they were left,” he explains.

It’s an especially appealing proposition in the age of coronavirus, as the technology can help convey information that’s happening at a site that’s been shut down, or even how closely employees are gathered.

Conrad says the technology also saves on time by providing information to those who might not otherwise be able to access it. Think of the developer on the 50th floor of the skyscraper that he or she is building, or even the crane operator who is perhaps moving a two-ton object and has to rely on someone on the ground to deliver directions but can enjoy far more visibility with the aid of a multi-camera set-up.

Quartz, which today operates in California but is embarking on a nationwide rollout, was largely inspired by what Conrad was seeing in the world of self-driving. From sensors to self-perception systems, he knew the technologies would be even easier to deploy at construction sites, and he believed it could make them safer, too. Indeed, like cars, construction sites are highly dangerous. According to the Occupational Safety and Health Administration, of the worker fatalities in private industry in 2018, more than 20% were in construction.

Conrad also saw an opportunity to take on established companies like Trimble, a 42-year-old, publicly traded, Sunnyvale, Calif.-based company that sells a portfolio of tools to the construction industry and charges top dollar for them. Quartz is meanwhile charging $2,000 per month per crane for its series of cameras, their installation, a live stream and “lookback” data, though this may well rise as its adds features.

It’s a big enough opportunity that, perhaps unsurprisingly, Quartz is not alone in chasing it. Last summer, for example, Versatile, an Israeli-based startup with offices in San Francisco and New York City, raised $5.5 million in seed funding from Germany’s Robert Bosch Venture Capital and several other investors for a very similar platform, though it uses sensors mounted under the hook of a crane to provide information about what’s happening below. Construction Dive, a media property that’s dedicated to the industry, highlights many other, similar and competitive startups in the space, too.

Still, Quartz has Conrad, who isn’t just any founding CEO. Not only does he have that background in engineering, but having launched a venture firm and spent years as an investor may also serve him well. He thinks a lot about the payback period on its hardware, for example.

Unlike a lot of founders, he even says he loves the fundraising process. “I get the highest-quality feedback from some of the smartest people I know, which really helps focus your vision,” says Conrad, who says that Quartz, which operates in California today, is now embarking on a nationwide rollout.

“When you talk with great VCs, they ask great questions. For me, it’s the best free consulting you can get.”

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Where these 4 top VCs are investing in manufacturing

Even though it’s a vast sector in the midst of transformation, manufacturing is often overlooked by early-stage investors. We surveyed top VCs in the industry to gather their perspectives on the challenges and opportunities facing manufacturing.

Traditionally, manufacturing companies are capital-intensive and can be slow to implement new technology and processes. The investors in the survey below acknowledge the long-standing barriers facing founders in this space, yet they see large opportunities where startups can challenge incumbents.

These investors noted that the pandemic is bringing overnight change in the manufacturing world; old rules are being rewritten in the face of worker safety, remote work and the need for increased automation. According to Eclipse Ventures founder Lior Susan, “COVID-19 has exposed the systemic vulnerabilities inherent to manufacturing and supply chain and, as such, significant opportunities for innovation. The market was lukewarm for a long time — it’s time to turn up the heat.”



Lior Susan, Eclipse Ventures

What trends are you most excited about in manufacturing from an investing perspective?

Digital solutions that offer manufacturers greater agility and resilience will become major areas of focus for investors. For example, manufacturers still reliant on manual assembly were unable to build products when factories closed due to the coronavirus lockdown. While nothing would have kept production at 100%, the ability to quickly pivot and engage software-defined processes would have allowed manufacturing lines to continue building with a skeleton crew (especially important for any facility required to implement social distancing). Such systems have remote monitoring capabilities and computer vision systems to flag defeats in real-time and halt production if necessary.

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R&D Roundup: ‘Twisted light’ lasers, prosthetic vision advances and robot-trained dogs

I see far more research articles than I could possibly write up. This column collects the most interesting of those papers and advances, along with notes on why they may prove important in the world of tech and startups.

In this edition: a new type of laser emitter that uses metamaterials, robot-trained dogs, a breakthrough in neurological research that may advance prosthetic vision and other cutting-edge technology.

Twisted laser-starters

We think of lasers as going “straight” because that’s simpler than understanding their nature as groups of like-minded photons. But there are more exotic qualities for lasers beyond wavelengths and intensity, ones scientists have been trying to exploit for years. One such quality is… well, there are a couple names for it: Chirality, vorticality, spirality and so on — the quality of a beam having a corkscrew motion to it. Applying this quality effectively could improve optical data throughput speeds by an order of magnitude.

The trouble with such “twisted light” is that it’s very difficult to control and detect. Researchers have been making progress on this for a couple of years, but the last couple weeks brought some new advances.

First, from the University of the Witwatersrand, is a laser emitter that can produce twisted light of record purity and angular momentum — a measure of just how twisted it is. It’s also compact and uses metamaterials — always a plus.

The second is a pair of matched (and very multi-institutional) experiments that yielded both a transmitter that can send vortex lasers and, crucially, a receiver that can detect and classify them. It’s remarkably hard to determine the orbital angular momentum of an incoming photon, and hardware to do so is clumsy. The new detector is chip-scale and together they can use five pre-set vortex modes, potentially increasing the width of a laser-based data channel by a corresponding factor. Vorticality is definitely on the roadmap for next-generation network infrastructure, so you can expect startups in this space soon as universities spin out these projects.

Tracing letters on the brain-palm

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Sphero appoints new CEO, spins off robotics startup for first responders

Sphero just announced that it has spun off another company. Once again, the new startup has a decidedly different focus from its parent company’s core of education-focused products. While still a robotics company at its heart, the underwhelmingly named Company Six will create robotic systems designed for first responders and other humans whose work requires them to put themselves in harm’s way.

Also snuck into the press release, almost as an an afterthought, is the appointment of Paul Copioli as the new CEO of Sphero, effective immediately. The executive is an industry veteran who has worked at VEX Robotics, industrial robotics giant Fanuc and Lockheed Martin. Most recently, he was the president and COO of littleBits when the startup was acquired by Sphero.

Copioli takes over after the company’s exit from the consumer space. Sphero has pivoted almost entirely into the educational market, with the littleBits acquisition making up an important piece of the puzzle.

“It’s an honor to lead the Sphero team as we continue to pave the way for accessible robots, STEAM and computer science education for kids around the world,” he says in a release. “With our focus on education and our mission to inspire the creators of tomorrow, Sphero has a long-standing place in our school systems and beyond.”

Spinning off Company Six as its own independent entity is seemingly part of the new focus. The seeds of the startups were formed by former CEO Paul Berberian’s Public Safety Division within Sphero. He has since shifted to become chairman of both companies, while former Sphero COO Jim Booth will head Company Six as COO. Got all that?

Company Six has already closed a $3 million seed round, lead by Spider Capital, with Sphero investors Foundry Group and Techstars also on-board. Like previous Sphero spin-off Misty, information about Company Six is minimal at the time of its announcement. The new company’s site is essentially bare. We only know it will be focused on creating robotic systems for first responders, defense workers and other dangerous jobs. The news echoes iRobot’s 2016 spin-off of its military wing, Endeavor. 

Sphero explains:

By applying the experience used to bring more than 4 million robots to market at Sphero, the Company Six team believes it can create products that are not only robust and feature-rich enough for professional applications, but also affordable enough to be adopted by the majority, rather than the minority, of civilian and military personnel.

More news to follow soon, no doubt.

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Microsoft launches Project Bonsai, its new machine teaching service for building autonomous systems

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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