Boston Dynamics' latest robot is a warehouse workhorse

When does this thing get to unionize?


Robotics company Boston Dynamics is making one of its latest robots more generally commercially available: a mobile, autonomous arm called Stretch.

Stretch is outfitted with a vacuum gripping arm able to move a wide variety of box types and sizes, up to 50 pounds (≈22.7kg). Its footprint is about that of a warehouse pallet, and it can move around on its own, which Boston Dynamics said makes it a good fit for companies trying to automate without building a whole new factory.

"Stretch offers logistics providers an easier path to automation by working within existing warehouse spaces and operations, without requiring costly reconfiguration or investments in new fixed infrastructure," Boston Dynamics said this week.

stretch, boston dynamic's autonomous robot arm

Not much a stretch ... What Boston Dynamics' new robot looks like. Source: Boston Dynamics. Click to enlarge

Stretch's base is omnidirectional, and the robot uses computer vision to navigate, distinguish individual boxes and even recover those that shift or fall. Stretch also requires a minimum of training, and no pre-programming on SKU numbers or information on the boxes it will move. Instead, Boston Dynamics said it works in real time "without the need for explicit directions or supervision," which it can do for up to 16 hours on a single charge. 

New customers can reportedly get Stretch installed and operating in an existing warehouse in only a few days.

Stretch is apparently able to unload trailers and containers, navigate tight spaces and take the heavy lifting off of human employees, which Boston Dynamics said was a goal, along with improving warehouse safety. 

Robert Playter, CEO of Boston Dynamics, said labor shortages and supply chain issues were another way to make logistics operations "more efficient and predictable."

Automation in general is expected to eliminate 12 million jobs in Europe by 2040.

Supplies stretched thin

BD first showed Stretch off in 2021. The biz said early testers were so pleased with the machine that those customers (which included DHL, Gap, H&M, and Performance Team – A Maersk Company) bought out the entire supply. DHL alone spent $15 million on sending Stretch to its various factories, we're told. 

Customers interested in getting a Stretch or two for their own warehouses will have to wait for the 2023 and 2024 delivery cycles, for which reservations are now being taken.

There's no word on the price – we did ask BD – but for reference, Boston Dynamics' other commercially available robot, Spot, started at $75,000 when it went on sale in 2020.

Spot itself was fitted with an extendable robot arm attachment after being sold to insurers to help its agents with property inspections and "in-field catastrophe claims."

The robot dog has already been deployed to check out nuclear power plants, probe suspicious packages, maintain COVID social distancing rules during the pandemic and – briefly – worked as a police dog in New York before being relieved of active duty. ®

Narrower topics


Other stories you might like

  • Quantum internet within grasp as scientists show off entanglement demo
    Teleportation of quantum information key to future secure data transfer

    Researchers in the Netherlands have shown they can transmit quantum information via an intermediary node, a feature necessary to make the so-called quantum internet possible.

    In recent years, scientists have argued that the quantum internet presents a more desirable network for transferring secure data, in addition to being necessary when connecting multiple quantum systems. All of this has been attracting investment from the US government, among others.

    Despite the promise, there are still vital elements missing for the creation of a functional quantum internet.

    Continue reading
  • Drone ship carrying yet more drones launches in China
    Zhuhai Cloud will carry 50 flying and diving machines it can control with minimal human assistance

    Chinese academics have christened an ocean research vessel that has a twist: it will sail the seas with a complement of aerial and ocean-going drones and no human crew.

    The Zhu Hai Yun, or Zhuhai Cloud, launched in Guangzhou after a year of construction. The 290-foot-long mothership can hit a top speed of 18 knots (about 20 miles per hour) and will carry 50 flying, surface, and submersible drones that launch and self-recover autonomously. 

    According to this blurb from the shipbuilder behind its construction, the Cloud will also be equipped with a variety of additional observational instruments "which can be deployed in batches in the target sea area, and carry out task-oriented adaptive networking to achieve three-dimensional view of specific targets." Most of the ship is an open deck where flying drones can land and be stored. The ship is also equipped with launch and recovery equipment for its aquatic craft. 

    Continue reading
  • Experts: AI should be recognized as inventors in patent law
    Plus: Police release deepfake of murdered teen in cold case, and more

    In-brief Governments around the world should pass intellectual property laws that grant rights to AI systems, two academics at the University of New South Wales in Australia argued.

    Alexandra George, and Toby Walsh, professors of law and AI, respectively, believe failing to recognize machines as inventors could have long-lasting impacts on economies and societies. 

    "If courts and governments decide that AI-made inventions cannot be patented, the implications could be huge," they wrote in a comment article published in Nature. "Funders and businesses would be less incentivized to pursue useful research using AI inventors when a return on their investment could be limited. Society could miss out on the development of worthwhile and life-saving inventions."

    Continue reading
  • SEC probes Musk for not properly disclosing Twitter stake
    Meanwhile, social network's board rejects resignation of one its directors

    America's financial watchdog is investigating whether Elon Musk adequately disclosed his purchase of Twitter shares last month, just as his bid to take over the social media company hangs in the balance. 

    A letter [PDF] from the SEC addressed to the tech billionaire said he "[did] not appear" to have filed the proper form detailing his 9.2 percent stake in Twitter "required 10 days from the date of acquisition," and asked him to provide more information. Musk's shares made him one of Twitter's largest shareholders. The letter is dated April 4, and was shared this week by the regulator.

    Musk quickly moved to try and buy the whole company outright in a deal initially worth over $44 billion. Musk sold a chunk of his shares in Tesla worth $8.4 billion and bagged another $7.14 billion from investors to help finance the $21 billion he promised to put forward for the deal. The remaining $25.5 billion bill was secured via debt financing by Morgan Stanley, Bank of America, Barclays, and others. But the takeover is not going smoothly.

    Continue reading
  • Cloud security unicorn cuts 20% of staff after raising $1.3b
    Time to play blame bingo: Markets? Profits? Too much growth? Russia? Space aliens?

    Cloud security company Lacework has laid off 20 percent of its employees, just months after two record-breaking funding rounds pushed its valuation to $8.3 billion.

    A spokesperson wouldn't confirm the total number of employees affected, though told The Register that the "widely speculated number on Twitter is a significant overestimate."

    The company, as of March, counted more than 1,000 employees, which would push the jobs lost above 200. And the widely reported number on Twitter is about 300 employees. The biz, based in Silicon Valley, was founded in 2015.

    Continue reading
  • Talos names eight deadly sins in widely used industrial software
    Entire swaths of gear relies on vulnerability-laden Open Automation Software (OAS)

    A researcher at Cisco's Talos threat intelligence team found eight vulnerabilities in the Open Automation Software (OAS) platform that, if exploited, could enable a bad actor to access a device and run code on a targeted system.

    The OAS platform is widely used by a range of industrial enterprises, essentially facilitating the transfer of data within an IT environment between hardware and software and playing a central role in organizations' industrial Internet of Things (IIoT) efforts. It touches a range of devices, including PLCs and OPCs and IoT devices, as well as custom applications and APIs, databases and edge systems.

    Companies like Volvo, General Dynamics, JBT Aerotech and wind-turbine maker AES are among the users of the OAS platform.

    Continue reading
  • Despite global uncertainty, $500m hit doesn't rattle Nvidia execs
    CEO acknowledges impact of war, pandemic but says fundamentals ‘are really good’

    Nvidia is expecting a $500 million hit to its global datacenter and consumer business in the second quarter due to COVID lockdowns in China and Russia's invasion of Ukraine. Despite those and other macroeconomic concerns, executives are still optimistic about future prospects.

    "The full impact and duration of the war in Ukraine and COVID lockdowns in China is difficult to predict. However, the impact of our technology and our market opportunities remain unchanged," said Jensen Huang, Nvidia's CEO and co-founder, during the company's first-quarter earnings call.

    Those two statements might sound a little contradictory, including to some investors, particularly following the stock selloff yesterday after concerns over Russia and China prompted Nvidia to issue lower-than-expected guidance for second-quarter revenue.

    Continue reading
  • Another AI supercomputer from HPE: Champollion lands in France
    That's the second in a week following similar system in Munich also aimed at researchers

    HPE is lifting the lid on a new AI supercomputer – the second this week – aimed at building and training larger machine learning models to underpin research.

    Based at HPE's Center of Excellence in Grenoble, France, the new supercomputer is to be named Champollion after the French scholar who made advances in deciphering Egyptian hieroglyphs in the 19th century. It was built in partnership with Nvidia using AMD-based Apollo computer nodes fitted with Nvidia's A100 GPUs.

    Champollion brings together HPC and purpose-built AI technologies to train machine learning models at scale and unlock results faster, HPE said. HPE already provides HPC and AI resources from its Grenoble facilities for customers, and the broader research community to access, and said it plans to provide access to Champollion for scientists and engineers globally to accelerate testing of their AI models and research.

    Continue reading

Biting the hand that feeds IT © 1998–2022