Today’s warehouse robots can autonomously navigate through a crowded fulfillment center, avoiding collisions with workers and equipment. But how exactly does it happen?
Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
Visit a classic-car show and you’re guaranteed to see groups of onlookers gathered around the shiny vehicles, asking their proud owners, “So, what’ve you got under the hood?” Ask a gearhead that question, and you’d better settle in for a long answer.
But walk into a distribution center that’s buzzing with autonomous mobile robots (AMRs) and ask the same question, and you’d probably get a quick shrug in response, even as the robot drove itself off to fetch a specific tote a hundred yards away.
So what makes AMRs work? We asked robot vendors, electronics suppliers, and industry analysts that question. They told us it all comes down to motors, software, and sensors.
SLOW AND STEADY WINS THE RACE
One of the first things you learn when you look closely at an AMR is that these machines are not built for speed, with zero-to-60 acceleration. Rather, warehouse robots are designed to be slow and steady, toting inventory from point A to point B at a moderate pace, while avoiding collisions with racks, forklifts, and, above all, pedestrians. Safety is job one, so most loaded AMRs—like Locus Robotics’ Origin bot—cruise along at a poky 2.5 mph.
As for their payload capacity, some models have more muscle than others. For example, the capacity of Geek Plus’s P40 model tops out at 88 pounds (40 kilograms), while the company’s P1200 series AMRs can handle loads of up to 2,645 pounds (1,200 kilograms).
When it comes to the “power plant” that enables all this activity, most AMRs run on one or two rechargeable lithium-ion batteries. These are essentially heavier, higher-voltage versions of the lithium-ion batteries used in most smartphones—which makes sense when you consider that AMRs need plenty of juice in order to carry payloads, power their sensors, and hold enough charge to run for an eight-hour shift. And when their batteries get low, the AMRs will steer themselves over to a charging station for a quick refresh—known as “opportunity charging”—or, alternatively, charge up all at once overnight or during a lengthy break between shifts.
That ability to monitor their own power levels comes courtesy of another critical component found inside an AMR: its onboard computer. In addition to monitoring power levels, that computer communicates with the facility’s warehouse management system (WMS) or other software platform, retrieving the AMR’s “marching orders” and enabling the robot to report back again when it has completed each task. These computers typically connect to the facility’s wireless network via Wi-Fi antennas on the AMR.
At the same time, AMRs manage other calculations directly on the vehicle itself, without a wireless link. These tend to be safety-critical calculations like those associated with navigation or collision avoidance, where systems can’t run the risk of losing connectivity through a “dropped call” or a power outage.
HOW SENSITIVE IS YOUR AMR?
If you continue to poke around under the hood of an AMR, you’ll find there’s more technology inside than just the battery, computer, and antennas. There’s also an impressive array of sensors, which essentially act as the machine’s eyes and ears.
These sensors vary greatly in sophistication. On a simpler machine like an automated guided vehicle (AGV), the sensors will probably be inexpensive units—ones that rely on external infrastructure for navigation. In other words, these are sensors that require some sort of “street signs” to give them their bearings, whether it’s infrared beacons on racks and walls, stripes painted on the floor, or quick-response (QR) codes that identify specific locations.
On a more sophisticated vehicle like an AMR, the sensors will likely be higher-end units that allow for autonomous navigation, says Kent Kjaer, sales engineer at the Danish AMR developer Mobile Industrial Robots ApS (MiR). “An AMR won’t just stop dead if it detects a hand truck on the floor but will route [itself] around it, or even back up and take another route. So it needs LIDAR scanners and 3D cameras,” he says.
A LIDAR (light detection and ranging) sensor sees the world in a two-dimensional (2D) plane at a height of about eight inches off the ground. That’s enough to allow a robot to determine where it is in relation to its physical surroundings, including walls, doors, and racks—a process known as localization. But it’s not enough to provide a failsafe collision-avoidance solution: The robot still might miss a pallet lying on the floor or a pair of lift-truck forks extended above its detection range.
So AMR developers typically add another sensor called a three-dimensional (3D) camera that maps the robot’s surroundings roughly from floor level up to a height of five or six feet. MiR, for example, combines a forward-looking 3D camera with a 270-degree field of view (FOV) with a similar one looking backward, and combines the two inputs for a full, 360-degree picture, Kjaer says.
MiR also adds proximity sensors in each corner of the AMR to detect any nearby objects that the cameras may have missed (like an object someone just placed on the ground). As an AMR moves through its environment, it fuses those multiple sensor inputs into a single image that refreshes many times per second, helping it avoid collisions and find its way through a process called simultaneous localization and mapping (SLAM).
A SENSOR FOR EVERY APPLICATION?
Compared to years past, today’s engineers have an unprecedented array of specialized sensors to choose from when designing an AMR, says Tyler Glieden, a market product manager at SICK Inc., a German sensor manufacturer.
For example, they can opt for a mechanical LIDAR sensor, which works by shooting a laser beam that reflects off a spinning mirror in different directions, and then measures the time of flight (TOF) as the laser light reflects off its surroundings. Newer models achieve the same end with solid-state LIDAR that works without moving parts. Either way, as a robot rolls faster, it can adjust those sensors to “look” farther down the road, giving it more advance warning of obstacles and ensuring it has enough time to stop even while carrying a heavy load.
They also have their pick of LIDAR sensors that are rated for outdoor use—meaning they allow a robot that moves between buildings to navigate in low-visibility conditions, like rain, snow, and fog. Still other models are designed for robots that work in refrigerated storage areas and freezers, with features that prevent them from fogging up as the temperature changes.
To manage all those variables, SICK also offers the “Sick Safety System,” which collects laser scanner data and analyzes it using software on board the AMR. That approach helps the robot avoid collisions and downtime by adjusting its driving speed to the situation.
As AMR applications evolve, robot developers continue to gussy up their offerings with new sensors and features. Some robots now incorporate digital cameras that let them take pictures of bar codes and inventory, while others feature “height sensors” that help them fetch totes off high shelves. Still other models come equipped with the equivalent of an automobile’s headlights and horn, enabling them to honk and flash before turning a corner to alert warehouse workers to their presence.
And there’s no indication that this R&D work will stop anytime soon. AMR manufacturers will continue “souping up” their robots with improved sensors, batteries, and computers, creating virtual muscle cars that can keep pace with changing logistics demands.
The Port of Oakland has been awarded $50 million from the U.S. Department of Transportation’s Maritime Administration (MARAD) to modernize wharves and terminal infrastructure at its Outer Harbor facility, the port said today.
Those upgrades would enable the Outer Harbor to accommodate Ultra Large Container Vessels (ULCVs), which are now a regular part of the shipping fleet calling on West Coast ports. Each of these ships has a handling capacity of up to 24,000 TEUs (20-foot containers) but are currently restricted at portions of Oakland’s Outer Harbor by aging wharves which were originally designed for smaller ships.
According to the port, those changes will let it handle newer, larger vessels, which are more efficient, cost effective, and environmentally cleaner to operate than older ships. Specific investments for the project will include: wharf strengthening, structural repairs, replacing container crane rails, adding support piles, strengthening support beams, and replacing electrical bus bar system to accommodate larger ship-to-shore cranes.
The Florida logistics technology startup OneRail has raised $42 million in venture backing to lift the fulfillment software company its next level of growth, the company said today.
The “series C” round was led by Los Angeles-based Aliment Capital, with additional participation from new investors eGateway Capital and Florida Opportunity Fund, as well as current investors Arsenal Growth Equity, Piva Capital, Bullpen Capital, Las Olas Venture Capital, Chicago Ventures, Gaingels and Mana Ventures. According to OneRail, the funding comes amidst a challenging funding environment where venture capital funding in the logistics sector has seen a 90% decline over the past two years.
The latest infusion follows the firm’s $33 million Series B round in 2022, and its move earlier in 2024 to acquire the Vancouver, Canada-based company Orderbot, a provider of enterprise inventory and distributed order management (DOM) software.
Orlando-based OneRail says its omnichannel fulfillment solution pairs its OmniPoint cloud software with a logistics as a service platform and a real-time, connected network of 12 million drivers. The firm says that its OmniPointsoftware automates fulfillment orchestration and last mile logistics, intelligently selecting the right place to fulfill inventory from, the right shipping mode, and the right carrier to optimize every order.
“This new funding round enables us to deepen our decision logic upstream in the order process to help solve some of the acute challenges facing retailers and wholesalers, such as order sourcing logic defaulting to closest store to customer to fulfill inventory from, which leads to split orders, out-of-stocks, or worse, cancelled orders,” OneRail Founder and CEO Bill Catania said in a release. “OneRail has revolutionized that process with a dynamic fulfillment solution that quickly finds available inventory in full, from an array of stores or warehouses within a localized radius of the customer, to meet the delivery promise, which ultimately transforms the end-customer experience.”
Commercial fleet operators are steadily increasing their use of GPS fleet tracking, in-cab video solutions, and predictive analytics, driven by rising costs, evolving regulations, and competitive pressures, according to an industry report from Verizon Connect.
Those conclusions come from the company’s fifth annual “Fleet Technology Trends Report,” conducted in partnership with Bobit Business Media, and based on responses from 543 fleet management professionals.
The study showed that for five consecutive years, at least four out of five respondents have reported using at least one form of fleet technology, said Atlanta-based Verizon Connect, which provides fleet and mobile workforce management software platforms, embedded OEM hardware, and a connected vehicle device called Hum by Verizon.
The most commonly used of those technologies is GPS fleet tracking, with 69% of fleets across industries reporting its use, the survey showed. Of those users, 72% find it extremely or very beneficial, citing improved efficiency (62%) and a reduction in harsh driving/speeding events (49%).
Respondents also reported a focus on safety, with 57% of respondents citing improved driver safety as a key benefit of GPS fleet tracking. And 68% of users said in-cab video solutions are extremely or very beneficial. Together, those technologies help reduce distracted driving incidents, improve coaching sessions, and help reduce accident and insurance costs, Verizon Connect said.
Looking at the future, fleet management software is evolving to meet emerging challenges, including sustainability and electrification, the company said. "The findings from this year's Fleet Technology Trends Report highlight a strong commitment across industries to embracing fleet technology, with GPS tracking and in-cab video solutions consistently delivering measurable results,” Peter Mitchell, General Manager, Verizon Connect, said in a release. “As fleets face rising costs and increased regulatory pressures, these technologies are proving to be indispensable in helping organizations optimize their operations, reduce expenses, and navigate the path toward a more sustainable future.”
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
Bloomington, Indiana-based FTR said its Trucking Conditions Index declined in September to -2.47 from -1.39 in August as weakness in the principal freight dynamics – freight rates, utilization, and volume – offset lower fuel costs and slightly less unfavorable financing costs.
Those negative numbers are nothing new—the TCI has been positive only twice – in May and June of this year – since April 2022, but the group’s current forecast still envisions consistently positive readings through at least a two-year forecast horizon.
“Aside from a near-term boost mostly related to falling diesel prices, we have not changed our Trucking Conditions Index forecast significantly in the wake of the election,” Avery Vise, FTR’s vice president of trucking, said in a release. “The outlook continues to be more favorable for carriers than what they have experienced for well over two years. Our analysis indicates gradual but steadily rising capacity utilization leading to stronger freight rates in 2025.”
But FTR said its forecast remains unchanged. “Just like everyone else, we’ll be watching closely to see exactly what trade and other economic policies are implemented and over what time frame. Some freight disruptions are likely due to tariffs and other factors, but it is not yet clear that those actions will do more than shift the timing of activity,” Vise said.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index indicating the industry’s overall health, a positive score represents good, optimistic conditions while a negative score shows the inverse.