Now that robots have arrived at the loading dock, developers are using real-world feedback to improve the automated truck-unloading process and create a smoother inbound operation.
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.
Makers of robotic truck-unloading solutions are refining their offerings now that the technology is being used in many warehouses—and that means solutions are getting “smarter” and more adept at handling challenges that arise in real time. Increased handling capabilities, better dexterity, and even more autonomy are at the heart of the updates.
“There are certain behaviors you don’t see in the lab but you do see in the real world,” explains Pete Blair, vice president of product and marketing for Cambridge, Massachusetts-based Pickle Robot, which completed its first commercial installation in the summer of 2023 and now has roughly 12 truck-unloading robots up and running around the country. “We’ve been improving the system over that time period. Right now, [we’re] moving forward with the next generation of the robot.”
As of this past fall, all customers had been upgraded to the new robot, which features better wheels on its custom-built base, a sturdier onboard conveyor, additional sensors, and an improved gripper, according to Blair. The updates are making the robot more efficient and are in line with enhancements other robotic developers are making as well—all in the name of automating one of the toughest jobs in the warehouse.
“This technology is something [warehouses have] wanted for so long,” Blair says, emphasizing the difficulty of manually unloading box after box from a trailer, often in extreme temperatures. “The value at the end of the day is just so big and easy to recognize. [Truck unloading] remains one of the worst jobs in the warehouse … these jobs are getting harder and harder to fill.”
SMOOTHING OUT THE PROCESS
Pickle’s truck-unloading robot consists of a robotic picking arm on a wheeled base, with sensors, cameras, and an advanced software system that enable it to move boxes of different shapes and sizes out of trailers and into the warehouse. The robot, whose gripper can handle cartons measuring up to 36 inches long, 24 inches high, and 24 inches wide, can retrieve boxes weighing up to 60 pounds from high up in the trailer and handle floor-loaded boxes of up to 100 pounds. The robot then places the items on a flexible conveyor that moves them into the warehouse for the next step in the receiving process.
Some of the next-generation updates are part of ongoing refinements to the system—such as the ability to move smaller items, perform multipick moves, and recover boxes that fall on the floor during unloading. Today, Pickle’s robot can grip items as small as six-inch cubes for multipick moves, for example. And it can autonomously respond to changing conditions in the trailer, just as a human would.
“If you pick something and something shifts and falls on the floor, the robot picks it up, just takes care of it,” Blair explains. “We had been field testing that function; now we can do it.
“We’re making the robot smarter, making it do things differently—with more sophisticated path-planning algorithms. Now it can make more sophisticated moves that are more efficient, faster—grabbing two things rather than one, for example.”
Other changes are a direct result of the robots actively working in the field. For example, the robot’s gripper is designed to break away if it’s under too much stress, but users found that the process of reattaching the gripper was difficult and time-consuming—and ultimately slowed the unloading process.
“This has been completely redesigned and is now a one-minute fix,” Blair says.
BUILDING A SYSTEM
Global robotics supplier Mujin is also continuing to refine its truck-unloading solution—TruckBot. Although the developer does not disclose the number of TruckBots in use around the world, company leaders say user feedback from pilot tests and recent rollouts is playing a large role in refining the system. Mujin is working to improve the robot’s capacity—so that it can handle an increasing array of sizes, shapes, and weights—and also ensure that the TruckBot, which is part of a larger effort to automate the entire inbound logistics workflow, can operate effectively alongside other types of warehouse robots, according to Josh Cloer, vice president of sales and marketing.
“Truck unloading is only part of the challenge; [you also have to consider] what happens next [in a warehouse’s inbound freight operation],” Cloer explains, pointing to downstream functions such as sorting the unloaded boxes and building pallets. “We focus on areas where we can solve all those problems.”
The company starts with its MujinController, a robotic platform that powers its products and allows them to work autonomously. TruckBot is different from other unloading solutions in that it doesn't use a robotic arm to grab and move boxes—instead, it uses advanced gripper technology attached to a standard telescoping conveyor. Powered by the controller, and using sensors and advanced software, TruckBot can reach as far as 52 feet into the truck trailer, grasping boxes weighing up to 50 pounds from the front and seamlessly transferring them to the conveyor, which transports the packages into the warehouse. Cloer says the design allows for faster unloading so that warehouses can turn those trailers around quickly: TruckBot can move up to 1,000 cases per hour.
Although customers can use TruckBot on its own, the robot is designed to work in concert with Mujin’s other robots—including its automated case-handling solution, called QuickBot, which can depalletize, palletize, and repalletize boxes in the warehouse. The combination allows for a smoother, more efficient inbound process.
“We provide the whole inbound automation solution,” Cloer explains. “We put these processes in parallel—unloading and palletizing really fast and sorting downstream.”
On the human side of the equation, labor can be reallocated from the loading dock to other parts of the warehouse. Cloer notes that many warehouses have multiple workers in a trailer performing the unloading tasks along with another set of workers handling the removal of boxes and building pallets. Automation solves that challenge.
“You can more greatly reduce the [number] of operators you need on the inbound side of the warehouse,” he says.
MAKING STRIDES
Vendors agree that interest in robotic truck unloading is growing as more systems are put in place. Quite simply, the ability to show systems in action, achieving real results, helps seal more deals, according to Blair.
“Being able to show other prospects … just [gives] the whole market confidence that this is ready for prime time,” he says, adding that Pickle just signed three more deals with customers this past summer. “Being able to automate this function—it remains a huge interest for a broad swath of customers.”
The number of shipments of mobile robots will rise from 547,000 units in 2023 to 2.79 million by 2030, as customers expand applications from the current typical use case in warehousing and logistics to new tasks in manufacturing, last-mile delivery, agriculture, and healthcare, according to a report from technology analyst firm ABI.
That steep expansion would add up to a compound annual growth rate (CAGR) of 24.1% by units, and CAGR of 23.6% by revenue, as sales are forecasted to rise from $18 billion to $124 billion by 2030.
“Mobile robots are a very valuable category of robot which have completely transformed warehousing and logistics in recent years,” George Chowdhury, Robotics Industry Analyst at ABI Research, said in a release. “For material handling alone, mobile robots offer enterprises transformative efficiency improvements. Driven by the evolution of supporting technologies such as Simultaneous Localization and Mapping (SLAM), mobile robots can be deployed in diverse and dynamic environments, presenting new horizons to stakeholders and bringing efficiency improvements to under-automated economic sectors such as agriculture and healthcare.”
While warehousing and logistics will remain the primary adopters, other market verticals will see accelerated uptake by the decade's end, the report said. Shipments catering for agriculture deployments will rise from 7,000 to 129,000 per year by 2030; shipments for delivery will grow from 14,000 to 147,000; and public-facing applications will increase as the use of mobile robots within restaurants progress from 6,000 in 2023 to 78,000 shipments in 2030.
According to ABI, that change will occur as other industries begin to benefit from the decreasing costs, greater versatility, and simplified programmability that vendors are bringing to the mobile robot market. Sorted by market, those vendors include MiR, Omron, Otto Motors, and ABB for intralogistics within manufacturing; companies such as Zebra, Locus, and Safelog for marketing; Simbe and Brain Corp for retail; and Starship for last-mile delivery market.
“Mobile robots will remain the most popular form of robot, and shipments will continue to increase across economies as the benefits of augmenting existing business practices with automation become clear to decision-makers,” Chowdhury said. “As trust in Autonomous Mobile Robot (AMR) technologies grows, we will increasingly see mobile robots in public spaces. Hospitals, agriculture, retail stores, and last-mile delivery are all nearing readiness for the mass adoption of mobile robots.”
German contract logistics provider DB Schenker has been operating remote-controlled forklifts at its warehouse facility Kassel, Germany, for nine months through a trial with the start-up firm enabl.
Drivers are connected to several different vehicles at different locations, and control the vehicles from a distance. That approach has the potential to increase efficiency and eliminate staff shortages by separating the driver from the forklift, the company said.
Following the results of the pilot period, DB Schenker recently signed a letter of intent committing to a long-term collaboration to scale enabl’s advanced remote control and automation technology for forklifts at several additional international locations.
Karlsruhe, Germany-based enabl raised $3.3 million in a pre-seed funding round earlier this year, saying its material handling-as-a-service business model provides customers with a flexible overall service for the intra-company transport of goods by automating partial process steps, even without full automation.
“The collaboration with enabl allows us to react flexibly to fluctuations in demand and automate our processes to increase productivity. We see this partnership as a valuable addition to our CL digitalization strategy, which will help us to secure our competitiveness in the long term,” Lucas Mömken, Vice President Global Engineering & Innovation in Contract Logistics, DB Schenker, said in a release.
The “series B” funding round was financed by an unnamed “strategic customer” as well as Teradyne Robotics Ventures, Toyota Ventures, Ranpak, Third Kind Venture Capital, One Madison Group, Hyperplane, Catapult Ventures, and others.
The fresh backing comes as Massachusetts-based Pickle reported a spate of third quarter orders, saying that six customers placed orders for over 30 production robots to deploy in the first half of 2025. The new orders include pilot conversions, existing customer expansions, and new customer adoption.
“Pickle is hitting its strides delivering innovation, development, commercial traction, and customer satisfaction. The company is building groundbreaking technology while executing on essential recurring parts of a successful business like field service and manufacturing management,” Omar Asali, Pickle board member and CEO of investor Ranpak, said in a release.
According to Pickle, its truck-unloading robot applies “Physical AI” technology to one of the most labor-intensive, physically demanding, and highest turnover work areas in logistics operations. The platform combines a powerful vision system with generative AI foundation models trained on millions of data points from real logistics and warehouse operations that enable Pickle’s robotic hardware platform to perform physical work at human-scale or better, the company says.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Supply chains are poised for accelerated adoption of mobile robots and drones as those technologies mature and companies focus on implementing artificial intelligence (AI) and automation across their logistics operations.
That’s according to data from Gartner’s Hype Cycle for Mobile Robots and Drones, released this week. The report shows that several mobile robotics technologies will mature over the next two to five years, and also identifies breakthrough and rising technologies set to have an impact further out.
Gartner’s Hype Cycle is a graphical depiction of a common pattern that arises with each new technology or innovation through five phases of maturity and adoption. Chief supply chain officers can use the research to find robotic solutions that meet their needs, according to Gartner.
Gartner, Inc.
The mobile robotic technologies set to mature over the next two to five years are: collaborative in-aisle picking robots, light-cargo delivery robots, autonomous mobile robots (AMRs) for transport, mobile robotic goods-to-person systems, and robotic cube storage systems.
“As organizations look to further improve logistic operations, support automation and augment humans in various jobs, supply chain leaders have turned to mobile robots to support their strategy,” Dwight Klappich, VP analyst and Gartner fellow with the Gartner Supply Chain practice, said in a statement announcing the findings. “Mobile robots are continuing to evolve, becoming more powerful and practical, thus paving the way for continued technology innovation.”
Technologies that are on the rise include autonomous data collection and inspection technologies, which are expected to deliver benefits over the next five to 10 years. These include solutions like indoor-flying drones, which utilize AI-enabled vision or RFID to help with time-consuming inventory management, inspection, and surveillance tasks. The technology can also alleviate safety concerns that arise in warehouses, such as workers counting inventory in hard-to-reach places.
“Automating labor-intensive tasks can provide notable benefits,” Klappich said. “With AI capabilities increasingly embedded in mobile robots and drones, the potential to function unaided and adapt to environments will make it possible to support a growing number of use cases.”
Humanoid robots—which resemble the human body in shape—are among the technologies in the breakthrough stage, meaning that they are expected to have a transformational effect on supply chains, but their mainstream adoption could take 10 years or more.
“For supply chains with high-volume and predictable processes, humanoid robots have the potential to enhance or supplement the supply chain workforce,” Klappich also said. “However, while the pace of innovation is encouraging, the industry is years away from general-purpose humanoid robots being used in more complex retail and industrial environments.”