Victoria Kickham started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for DC Velocity.
There may finally be a solution to filling one of the least desirable jobs in the warehouse: trailer unloading. The physically demanding position requires workers to swiftly lift and move heavy boxes out of a trailer, which remains exposed to the elements while on the loading dock—an especially daunting task in places like Florida in July or Toronto in January. Such conditions make the process a welcome application for robotic automation, according to just about anyone who has ever run a warehouse, but until recently the prospect of automating it seemed like a still-distant reality. That has changed in 2023, with the commercial launch of automated truck unloading systems by a handful of robotics companies—a feat company leaders and their business partners say may open the door to industrywide change.
“Warehouse [work] is hard, but being assigned to work inside a container is really tough. It’s not an ideal location to have associates,” says Nicolas de Keijser, director of sales for warehouse robotics at Waltham, Massachusetts-basedBoston Dynamics, whose “Stretch” robot has been unloading trucks at aDHL Supply Chain facility since January. “This is a job that associates are happy to [see automated] so they can be reallocated to other areas in the warehouse.”
Brian Gaunt, vice president, accelerated digitalization at DHL Supply Chain, agrees, adding that robotic truck unloading is a game-changer for logistics operations.
“If you think of packages and parcels … our whole supply chain is set up to bring those items into a warehouse to be processed. So there’s wide applicability [for this technology],” Gaunt explains, noting that DHL Supply Chain operates 500 sites in North America alone. “Being able to automate this process is critical to us.”
Technology advances, and a whole lot of trial and error, are behind the DHL/Boston Dynamics story as well as that of Cambridge, Massachusetts-basedPickle Robot, which announced the commercial availability of its unloading robots in March. The technology is helping to improve productivity in the warehouse while also addressing often sky-high labor turnover on the loading dock. Here’s how.
FROM PILOT TO PRODUCTION
DHL Supply Chain and Boston Dynamics started collaborating on warehouse robotics about four years ago as part of a larger effort to automate DHL’s operations. The contract logistics services provider works with a range of technology partners to automate many aspects of its warehouses and fulfillment centers, and has invested about $430 million in automated technology, largely in North America.
“DHL was the first customer willing to take a chance on the first prototype that we had, [which] we built to do work in the warehouse with boxes,” de Keijser explains. “This partnership allowed us to start validating some of our ideas about how to move boxes around.”
Those early efforts led to DHL Supply Chain’s $15 million investment in robots from Boston Dynamics in 2022, an effort that culminated in a handful of truck unloading applications at DHL sites nationwide this year. “Stretch” robots—which consist of a robotic arm, suction grip, and mobile base—unload cartons of product coming into the facilities daily. Using the suction gripper, the robots take packages from the trailer, grabbing them from the top or side, and place them on a flexible conveyor for delivery into the building. The boxes are then scanned into inventory and placed into storage according to the particular facility’s material handling processes. The battery-powered robots work through a full shift on a single charge, unloading up to 500 boxes per hour. One of DHL Supply Chain’s most recent applications is at a dedicated fulfillment facility for workwear company Carhartt, in Canal Winchester, Ohio. The system is in testing there now, with deployment planned for later in the year.
A combination of sensors, cameras, controls, and artificial intelligence (AI) directs the robot’s movements. Its flexible robotic arm can reach boxes throughout the trailer, adjusting to handle boxes of different shapes and sizes (the robots can handle cartons weighing up to 50 pounds), and even reacting to configuration changes: Stretch can recover fallen boxes or easily grasp those that have shifted during unloading, just as a human worker could.
“The robot needs to understand its environment at any given point and then act accordingly,” de Keijser says. “It will see [a fallen box] and [respond] by moving around and picking up whatever fell. There is no interrupted flow, and no human assistance [is needed].”
Two months into the project, the solution was yielding about a 40% increase in efficiency at the Carhartt facility, with Stretch unloading at speeds faster than manual operations, according to Gaunt. Even more importantly, workers have been freed from the tough physical work of trailer unloading and can now perform more value-added activities such as picking and putaway. Some associates have moved on to new tasks such as programming and troubleshooting Stretch as well as other robotic solutions at work in the facility. What’s more, productivity improvements are expected to grow as Stretch continues to learn and improve: de Keijser says he expects the system to eventually unload up to 800 boxes per hour.
Gaunt described the project as transformative, both for DHL Supply Chain and the broader logistics industry.
“It’s nice to see something on a multiyear journey come to fruition,” he explains. “We’re at a state in the supply chain where technology and vision systems have advanced to a point that’s allowing us to take the next iterative step in automation. Previously, we had [cleared a number of hurdles], but advances in AI over the last four to five years have allowed us to take on challenges like this. Industrywise, it’s exciting.”
PROBLEM SOLVED
Leaders at Pickle Robot Co. agree that advanced technology—and easier access to it as costs come down—is what has made automated truck unloading a reality in 2023. Pickle was founded four years ago by a trio of Massachusetts Institute of Technology (MIT) graduates looking to apply robotics to supply chain processes. The company’s name is a play on the word “pick”—the robots are performing picking tasks in the truck-trailer or shipping container—as well as a nod to another food-named company, Apple Computer, whose founders Pickle’s creators admire, according to Pete Blair, the company’s vice president of marketing and sales.
“Most importantly, [the name] is intended to make you smile and make us approachable,” Blair says, pointing to workers’ concerns when they learn that robots are coming to their warehouse. “When they hear there is a Pickle robot coming, that usually puts people at ease. I mean, who doesn't want to see what a Pickle robot is?”
The bright green robot consists of a commercially available robotic picking arm and a company-built base as well as sensors, cameras, and “a ton of software” that allow it to move boxes of different shapes and sizes out of a trailer. The robot grips boxes high up in the container from the top or front of the box, handling up to 60 pounds in any orientation. For those boxes that are positioned lower—either on the floor or toward the bottom of the trailer—the robots can move boxes of 100 pounds or more by gripping them from the top, Blair says. In either case, the robots place the unloaded boxes on a flexible conveyor system that carries them into the warehouse, where they are entered into inventory. He says the robot does the equivalent work of two warehouse associates.
Blair touts the independence of the system as a game-changer as well; because the robots are not tied into a company’s warehouse management system (WMS) or enterprise resource planning (ERP) system, the system can be quickly installed and set to work.
“What we’re doing is handling the physical unload; the inventory upload is a process right after us,” he explains. “Our system does not have to [integrate] with the warehousing systems.”
This makes Pickle robots—like Boston Dynamics’ Stretch, which is similarly independent of a company’s WMS or ERP system—even more of a boon to companies looking to automate processes on the loading dock. Blair cites a roughly 43% average turnover rate for warehousing jobs nationwide, a statistic he says can run as high as 100% for container unloading, according to some Pickle customers. Automating the process solves a huge labor problem, quickly.
“Ask someone who does importing. It’s not uncommon for people to show up in the morning and [not return] after lunchtime,” he says, citing temperature extremes and the repetitive stress of moving box after box of heavy goods. “It’s an unforgiving job. This [technology] is something people want, and it’s applicable to thousands of dock doors across the country.”
Pickle officially announced the commercial availability of its robots this past March, during the ProMat material handling show in Chicago. At the time, the developer had a handful of implementations up and running across the country, one of which was for a food importer called United Exchange Corp. (UEC), based in Los Angeles. Pickle robots are unloading cargo containers that UEC imports from Asia. The company has been using the Pickle system since last summer, according to Blair, who says he expects business to accelerate as word spreads that truck unloading robots have finally arrived.
“When people hear a robot is coming, there is always concern,” Blair says. “But when we get there and talk to people on the dock, so far, universally, the response has been ‘Thank God, I don’t have to get into that container anymore.’ This is a huge opportunity.”
Mujin launches TruckBot unloader
Another company that’s out front in the race to deliver robotic truck unloading solutions is intelligent automation company Mujin, which launched its TruckBot system at the recent ProMat material handling show in Chicago. The robot’s unconventional format is a key differentiator in the marketplace, allowing TruckBot to unload boxes from floor-loaded containers at a rate of 1,000 cases per hour, according to Ross Diankov, Mujin’s CEO.
“TruckBot is a game-changer for warehouses looking to streamline their operations and reduce costs,” Diankov said in a statement announcing the product’s launch. “The dock door is the largest bottleneck in our supply chain, and unloading trailers is backbreaking work. TruckBot will improve safety and effectiveness for warehouses across the globe while unlocking the possibility for true fully autonomous operations.”
Unlike other unloading solutions that utilize a robotic arm, TruckBot combines its grippers, sensors, software, and controller with something found on many loading docks: a telescoping conveyor. The robot attaches to a standard telescoping conveyor and can reach as far as 52 feet into the truck trailer or shipping container, handling boxes that weigh up to 50 pounds. TruckBot grasps the boxes from the front and seamlessly transfers them to the conveyor, which delivers the packages into the warehouse.
The system is powered by the company’s MujinController, a robotic platform that allows it to work autonomously, planning the most efficient paths and movements while minimizing idle time and maximizing productivity, according to the company.
“The MujinController software is what makes TruckBot truly special,” Diankov said. “It enables the robot to operate independently, without the need for manual intervention or oversight, and to make smart decisions about how to optimize its movements and picking strategies.”
TruckBot can integrate with other technologies in the warehouse as well. During a ProMat demonstration, the robot worked in tandem with a Mujin palletizing robot to sort the unloaded cases to pallets for storage, for example.
Robotic truck unloading will be revolutionary for the industry, according to Diankov, who refers to Mujin’s solution as “the innovation the industry has been waiting for.”
David Scheffrahn is the North American vice president of sales at Ocado Intelligent Automation, a part of the technology specialist Ocado Group. Although he began his career focusing on robotic solutions for semiconductor, electronics, and automotive manufacturers, Scheffrahn eventually moved on to the logistics sector, where he worked at Rethink Robotics, Seegrid, Plus One Robotics, and Dexterity before joining Ocado in 2023. He holds a degree in mechanical engineering from the University of Texas.
Q: How would you describe the current state of the automation industry?
A: Today, automation is available for nearly every task in the supply chain. Yet we know from industry analysts that only one-fourth of warehouses are “automated.” [The market research firm] Interact Analysis predicts that 27% of warehouses will be automated by 2027.So many warehouse operators still have the opportunity to embrace and benefit from automation.
Whether companies are just getting started with automation and could benefit from swapping out manual carts for automated ones or are looking for an end-to-end omnichannel fulfillment solution, there will be options available.
Q: You’ve worked in the robotics industry for the past 25 years. What changes have you seen in robotic design and applications during that time?
A: Believe it or not, robots pre-date me! I fell in love with robots right out of college. When I graduated in 1994, I was hired by a local robotics company, and one of my early jobs was to program robots to cut circuit boards into the correct shape to fit into cellphone housings. I was hooked for life. Back then, robots did exactly what you programmed them to do, very precisely, over and over.
In the mid-2000s, an explosion of software and sensor-based technologies started to give robots the capability to operate in environments that are much less structured, such as warehouses and fulfillment centers. Nowadays, robots can perform a wide range of tasks and movements, seemingly on the fly. They can interact with the world around them—and even people—because they can safely operate and adapt to changes in the environment.
Q: How are artificial intelligence and machine learning being applied to robotics?
A: Think of a robotic pick arm. Traditionally, it was trained and tested to always pick the same—or very similar—object or item set. Now, when we apply artificial intelligence, vision systems, and sensors to the same robotic arm, it can teach itself to handle new items without previous training or testing. Vision systems and sensors scan shapes and identify items to direct the arm on how to handle fragile products without damaging them or how to grasp an item with a new and different shape.
Q: Automation used to be a major investment. Has it become any easier for smaller companies to get started with automation?
A: A few years ago, automating was a choice. In 2024, the question isn’t whether you should automate, but rather what’s the right automation solution for your operations. Automated solutions can be big or they can be small, but they should always improve warehouse operations and be “right-sized” for the application.
Autonomous mobile robots (AMRs) are some of the most approachable automated solutions available for 3PLs or small and mid-sized warehouses. AMRs can be deployed quickly one at a time or by the dozen. They can integrate seamlessly with existing warehouse systems and infrastructure, and work safely alongside human pickers. Customers we have worked with report that deploying automated carts based on AMRs has doubled their productivity, improved accuracy by 40%, and reduced employee training time by 80%.
Q: What is the next frontier in robotic design and applications?
A: The use of 3D printing is opening up new opportunities in robotic design. I think we’ll see that technique used more because of the resulting benefits.
Robots made via 3D printing are lighter, which, in turn, means the grids used in automated storage and retrieval systems (AS/RS)—like the Ocado Storage & Retrieval System (OSRS)—can be lighter. Lighter grids are easier and quicker to assemble. But more importantly, in Ocado Intelligent Automation’s solution, they can provide 33% more vertical storage capacity within the OSRS than heavier grids. The more cubic density in an AS/RS, the more warehouse operators can conserve footprint, lower real-estate costs, and scale inventory.
Q: How is Ocado Intelligent Automation expanding its offerings for the supply chain industry?
A: Ocado Group has been developing automated technology for more than 20 years. In 2023, it formed Ocado Intelligent Automation (OIA), the division I work in, to bring automation solutions to intralogistics (supply chain activities that take place within a warehouse) and to sectors beyond online grocery, which is where the company got its start.
Online grocery is one of the most demanding e-commerce environments—with needs that are very analogous to the fulfillment and logistics requirements of the health-care, retail, consumer packaged goods, and third-party logistics sectors. I can’t wait to see how these sectors benefit from OIA technology and robotics in the coming years. It’s going to be impressive!
There’s a photo from 1971 that John Kent, professor of supply chain management at the University of Arkansas, likes to show. It’s of a shaggy-haired 18-year-old named Glenn Cowan grinning at three-time world table tennis champion Zhuang Zedong, while holding a silk tapestry Zhuang had just given him. Cowan was a member of the U.S. table tennis team who participated in the 1971 World Table Tennis Championships in Nagoya, Japan. Story has it that one morning, he overslept and missed his bus to the tournament and had to hitch a ride with the Chinese national team and met and connected with Zhuang.
Cowan and Zhuang’s interaction led to an invitation for the U.S. team to visit China. At the time, the two countries were just beginning to emerge from a 20-year period of decidedly frosty relations, strict travel bans, and trade restrictions. The highly publicized trip signaled a willingness on both sides to renew relations and launched the term “pingpong diplomacy.”
Kent, who is a senior fellow at the George H. W. Bush Foundation for U.S.-China Relations, believes the photograph is a good reminder that some 50-odd years ago, the economies of the United States and China were not as tightly interwoven as they are today. At the time, the Nixon administration was looking to form closer political and economic ties between the two countries in hopes of reducing chances of future conflict (and to weaken alliances among Communist countries).
The signals coming out of Washington and Beijing are now, of course, much different than they were in the early 1970s. Instead of advocating for better relations, political rhetoric focuses on the need for the U.S. to “decouple” from China. Both Republicans and Democrats have warned that the U.S. economy is too dependent on goods manufactured in China. They see this dependency as a threat to economic strength, American jobs, supply chain resiliency, and national security.
Supply chain professionals, however, know that extricating ourselves from our reliance on Chinese manufacturing is easier said than done. Many pundits push for a “China + 1” strategy, where companies diversify their manufacturing and sourcing options beyond China. But in reality, that “plus one” is often a Chinese company operating in a different country or a non-Chinese manufacturer that is still heavily dependent on material or subcomponents made in China.
This is the problem when supply chain decisions are made on a global scale without input from supply chain professionals. In an article in the Arkansas Democrat-Gazette, Kent argues that, “The discussions on supply chains mainly take place between government officials who typically bring many other competing issues and agendas to the table. Corporate entities—the individuals and companies directly impacted by supply chains—tend to be under-represented in the conversation.”
Kent is a proponent of what he calls “supply chain diplomacy,” where experts from academia and industry from the U.S. and China work collaboratively to create better, more efficient global supply chains. Take, for example, the “Peace Beans” project that Kent is involved with. This project, jointly formed by Zhejiang University and the Bush China Foundation, proposes balancing supply chains by exporting soybeans from Arkansas to tofu producers in China’s Yunnan province, and, in return, importing coffee beans grown in Yunnan to coffee roasters in Arkansas. Kent believes the operation could even use the same transportation equipment.
The benefits of working collaboratively—instead of continuing to build friction in the supply chain through tariffs and adversarial relationships—are numerous, according to Kent and his colleagues. They believe it would be much better if the two major world economies worked together on issues like global inflation, climate change, and artificial intelligence.
And such relations could play a significant role in strengthening world peace, particularly in light of ongoing tensions over Taiwan. Because, as Kent writes, “The 19th-century idea that ‘When goods don’t cross borders, soldiers will’ is as true today as ever. Perhaps more so.”
Hyster-Yale Materials Handling today announced its plans to fulfill the domestic manufacturing requirements of the Build America, Buy America (BABA) Act for certain portions of its lineup of forklift trucks and container handling equipment.
That means the Greenville, North Carolina-based company now plans to expand its existing American manufacturing with a targeted set of high-capacity models, including electric options, that align with the needs of infrastructure projects subject to BABA requirements. The company’s plans include determining the optimal production location in the United States, strategically expanding sourcing agreements to meet local material requirements, and further developing electric power options for high-capacity equipment.
As a part of the 2021 Infrastructure Investment and Jobs Act, the BABA Act aims to increase the use of American-made materials in federally funded infrastructure projects across the U.S., Hyster-Yale says. It was enacted as part of a broader effort to boost domestic manufacturing and economic growth, and mandates that federal dollars allocated to infrastructure – such as roads, bridges, ports and public transit systems – must prioritize materials produced in the USA, including critical items like steel, iron and various construction materials.
Hyster-Yale’s footprint in the U.S. is spread across 10 locations, including three manufacturing facilities.
“Our leadership is fully invested in meeting the needs of businesses that require BABA-compliant material handling solutions,” Tony Salgado, Hyster-Yale’s chief operating officer, said in a release. “We are working to partner with our key domestic suppliers, as well as identifying how best to leverage our own American manufacturing footprint to deliver a competitive solution for our customers and stakeholders. But beyond mere compliance, and in line with the many areas of our business where we are evolving to better support our customers, our commitment remains steadfast. We are dedicated to delivering industry-leading standards in design, durability and performance — qualities that have become synonymous with our brands worldwide and that our customers have come to rely on and expect.”
In a separate move, the U.S. Environmental Protection Agency (EPA) also gave its approval for the state to advance its Heavy-Duty Omnibus Rule, which is crafted to significantly reduce smog-forming nitrogen oxide (NOx) emissions from new heavy-duty, diesel-powered trucks.
Both rules are intended to deliver health benefits to California citizens affected by vehicle pollution, according to the environmental group Earthjustice. If the state gets federal approval for the final steps to become law, the rules mean that cars on the road in California will largely be zero-emissions a generation from now in the 2050s, accounting for the average vehicle lifespan of vehicles with internal combustion engine (ICE) power sold before that 2035 date.
“This might read like checking a bureaucratic box, but EPA’s approval is a critical step forward in protecting our lungs from pollution and our wallets from the expenses of combustion fuels,” Paul Cort, director of Earthjustice’s Right To Zero campaign, said in a release. “The gradual shift in car sales to zero-emissions models will cut smog and household costs while growing California’s clean energy workforce. Cutting truck pollution will help clear our skies of smog. EPA should now approve the remaining authorization requests from California to allow the state to clean its air and protect its residents.”
However, the truck drivers' industry group Owner-Operator Independent Drivers Association (OOIDA) pushed back against the federal decision allowing the Omnibus Low-NOx rule to advance. "The Omnibus Low-NOx waiver for California calls into question the policymaking process under the Biden administration's EPA. Purposefully injecting uncertainty into a $588 billion American industry is bad for our economy and makes no meaningful progress towards purported environmental goals," (OOIDA) President Todd Spencer said in a release. "EPA's credibility outside of radical environmental circles would have been better served by working with regulated industries rather than ramming through last-minute special interest favors. We look forward to working with the Trump administration's EPA in good faith towards achievable environmental outcomes.”
Editor's note:This article was revised on December 18 to add reaction from OOIDA.
A Canadian startup that provides AI-powered logistics solutions has gained $5.5 million in seed funding to support its concept of creating a digital platform for global trade, according to Toronto-based Starboard.
The round was led by Eclipse, with participation from previous backers Garuda Ventures and Everywhere Ventures. The firm says it will use its new backing to expand its engineering team in Toronto and accelerate its AI-driven product development to simplify supply chain complexities.
According to Starboard, the logistics industry is under immense pressure to adapt to the growing complexity of global trade, which has hit recent hurdles such as the strike at U.S. east and gulf coast ports. That situation calls for innovative solutions to streamline operations and reduce costs for operators.
As a potential solution, Starboard offers its flagship product, which it defines as an AI-based transportation management system (TMS) and rate management system that helps mid-sized freight forwarders operate more efficiently and win more business. More broadly, Starboard says it is building the virtual infrastructure for global trade, allowing freight companies to leverage AI and machine learning to optimize operations such as processing shipments in real time, reconciling invoices, and following up on payments.
"This investment is a pivotal step in our mission to unlock the power of AI for our customers," said Sumeet Trehan, Co-Founder and CEO of Starboard. "Global trade has long been plagued by inefficiencies that drive up costs and reduce competitiveness. Our platform is designed to empower SMB freight forwarders—the backbone of more than $20 trillion in global trade and $1 trillion in logistics spend—with the tools they need to thrive in this complex ecosystem."