Is the industry robot-ready? interview with Dr. Christian Wurll
Warehouse robots are becoming cheaper and more collaborative all the time. But that doesn't mean they're all ready for 24/7 use, cautions Professor Christian Wurll.
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.
Dr. Christian Wurll is a professor of electrical engineering and automation at the University of Applied Sciences in Karlsruhe, Germany. Dr. Wurll has extensive experience in the study and application of robotics and automation. Before entering the academic world, he held executive positions at companies including Swisslog Automation, Grenzebach, and Kuka Robotics.
Dr. Wurll studied control theory and robotics at the University of Karlsruhe, Germany, where he earned a master of science degree in electrical engineering and a Ph.D. in computer science. He has published extensively on robotics, vision, and search algorithms. Dr. Wurll spoke with DC Velocity Senior News Editor Ben Ames at the MHI Fall Conference in La Quinta, California.
Q: Supply chain managers are facing many challenges. They are dealing with labor shortages and demands for ever-faster fulfillment. The robots are coming, which may help to ease the labor crunch. But are they really ready for 24/7 use yet?
A: I have implemented many systems and applications in logistics warehouses, but still using the traditional industrial robot arms, which are basically caged in, in order to protect the people running the applications. However, there is a new trend coming with all the cheaper robots—we call them "collaborative robots." They are designed and developed to run without a safety fence, but that requires that these robots be operated in accordance with certain rules and safety precautions.
What we observe in the European Union is that the machine laws are pretty tough. [Regulators] have set the forces applied to, say, a collision with a human pretty low, which means that you have to run these applications at very, very low speeds. But that can make it difficult to meet productivity goals. You want to achieve high throughput rates, but you can't achieve that running at a very slow pace. That means that it is a hindrance to actually deploy these robots in the numbers the industry is really looking to do.
Q: For a return on investment, you really need to ensure that the robots compare favorably to a human who's doing the same work. Robots might be more reliable—they're not going to take sick days, for example. But if they are running slowly, then the throughput just isn't there?
A: Exactly. It is kind of crazy how many new suppliers for robots are showing up at these industrial fairs, both here in the United States and in Germany. But if you really look carefully into these various vendors, you can still see some differences. Not every robot type is really suited yet to run 24/7, in my mind. They look nice. They are actually well-designed, but if you compare them, you will see there are huge differences. So really, you have to be careful about what type of robot you are selecting, and you certainly have to run some tests.
Q: So, it sounds like there are a number of challenges. The safety restrictions, the reliability, the speed, and also the reality that some of the collaborative robots, or cobots, are not actually operating in a fashion that's so collaborative yet. Is that right?
A: Yes, that's right. Then, keep in mind that you have to look at more than just the robot itself; you also have to look at the gripping technology. That also has to be collaborative. Even if your robot and your gripper are designed to avoid harming the operator, you still have to watch what kind of work piece you are actually handling. If the work piece has sharp edges, then you still have to come up with a solution for avoiding a collision between the robot and the operator.
Q: So, the gripping technology is one aspect of the warehouse-robotics development picture. But I believe that in some of your writings, you've suggested that pallet moving is going to be one of the up-and-coming applications for robots?
A: Absolutely. When we install systems with large integrators, I often see many pallet conveyor styles being implemented. Sometimes, there are miles of conveyors. I think there is a trend coming up with replacing these pallet conveyors with mobile robots. We can see it with the systems now [used] at Amazon Robotics. They have been a game-changer in the industry. Now, robotic technology can also be deployed to heavier items, like pallets. I think they are definitely much more flexible [than conveyors], and you don't have to bolt something onto a floor, which allows you to be more creative in your layouts.
Q: As these applications develop, particularly with regard to pallet picking, it seems like one of the enabling technologies to accelerate that might be 5G wireless technology, because really, they always have to have a data link in order to work, right?
A: That is true. We are closely watching what 5G will bring to us. Certainly, you have to have the infrastructure first. From what we are looking into, it feels pretty promising. You can connect lots of sensors and actuators to your automation system and start communicating in real time with these devices. That allows you to actually come up with some newer, smarter solutions requiring less cabling and reducing costs in terms of commissioning those systems. That is an interesting trend, and it definitely will change certain things. Look at mobile robots, for example. You always need the navigation principles and methods—so you can maneuver from point A to point B inside a warehouse, for instance. The normal approach is using some sort of "SLAM" technology.
Q: You are referring to simultaneous localization and mapping?
A: Yes, exactly. But it all depends on usually a leader sensor acquiring the data, and with 5G coming up, you actually have an exact position where your object is. So, you may not even need those sensors anymore, because in the communication protocol, you can actually detect where you are. That means that you can more or less simplify your navigation concepts—there's no need for a map anymore. I think that definitely will change the way we integrate mobile robots.
Q: That would be a different approach. And yet the 5G technology is something that's really not in the control of the vendors or platform developers. They have to do that in conjunction with the telephony providers. Is that right?
A: Absolutely. There are some approaches now being discussed in Europe in which, let's say, the OEMs request their own frequencies. They have to be somewhat independent from the telephone suppliers. I think in Europe, we just awarded all these contracts recently, but certain frequencies are specified for these OEMs. Then they can basically be running on their own.
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.
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.
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.