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.
Fruit company McDougall & Sons is running a tighter ship these days, thanks to an automated material handling solution from systems integrator RH Brown, now a Bastian Solutions company.
McDougall is a fourth-generation, family-run business based in Wenatchee, Washington, that grows, processes, and distributes cherries, apples, and pears. Company leaders were facing a host of challenges during cherry season, so they turned to the integrator for a solution. As for what problems they were looking to solve with the project, the McDougall leaders had several specific goals in mind: They wanted to increase cherry processing rates, better manage capacity during peak times, balance production between two cherry lines, and improve the accuracy and speed of data collection and reporting on the processed cherries.
RH Brown/Bastian responded with a combination of hardware and software that is delivering on all fronts: The new system handles cartons twice as fast as McDougall’s previous system, with less need for manual labor and with greater accuracy. On top of that, the system’s warehouse control software (WCS) provides precise, efficient management of production lines as well as real-time insights, data analytics, and product traceability.
MAKING THE SWITCH
Cherry producers are faced with a short time window for processing the fruit: Once cherries are ripe, they have to be harvested and processed quickly. McDougall & Sons responds to this tight schedule by running two 10-hour shifts, seven days a week, for about 60 days nonstop during the season. Adding complexity, the fruit industry is shifting away from bulk cartons to smaller consumer packaging, such as small bags and clamshell containers. This has placed a heavier burden on the manual labor required for processing.
Committed to making its machinery and technology run efficiently, McDougall’s leaders decided they needed to replace the company’s simple motorized chain system with an automated material handling system that would speed and streamline its cherry processing operations. With that in mind, RH Brown/Bastian developed a solution that incorporates three key capabilities:
Advanced automation that streamlines carton movement, reducing manual labor. The system includes a combination of conveyors, switches, controls, in-line scales, and barcode imagers.
A WCS that allows the company to manage production lines precisely and efficiently, with real-time insights into processing operations.
Data and analytics capabilities that provide insight into the production process and allow quick decision-making.
BEARING FRUIT
The results of the project speak for themselves: The new system is moving cartons at twice the speed of the previous system, with 99.9% accuracy, according to both RH Brown/Bastian and McDougall & Sons.
But the transformational benefits didn’t end there. The companies also cite a 130% increase in throughput, along with the ability to process an average of 100 cases per minute on each production line.
Artificial intelligence (AI) and the economy were hot topics on the opening day of SMC3 Jump Start 25, a less-than-truckload (LTL)-focused supply chain event taking place in Atlanta this week. The three-day event kicked off Monday morning to record attendance, with more than 700 people registered, according to conference planners.
The event opened with a keynote presentation from AI futurist Zack Kass, former head of go to market for OpenAI. He talked about the evolution of AI as well as real-world applications of the technology, furthering his mission to demystify AI and make it accessible and understandable to people everywhere. Kass is a speaker and consultant who works with businesses and governments around the world.
The opening day also featured a slate of economic presentations, including a global economic outlook from Dr. Jeff Rosensweig, director of the John Robson Program for Business, Public Policy, and Government at Emory University, and a “State of LTL” report from economist Keith Prather, managing director of Armada Corporate Intelligence. Both speakers pointed to a strong economy as 2025 gets underway, emphasizing overall economic optimism and strong momentum in LTL markets.
Other highlights included interviews with industry leaders Chris Jamroz and Rick DiMaio. Jamroz is executive chairman of the board and CEO of Roadrunner Transportation Systems, and DiMaio is executive vice president of supply chain for Ace Hardware.
Jump Start 25 runs through Wednesday, January 29, at the Renaissance Atlanta Waverly Hotel & Convention Center.
The new cranes are part of the latest upgrades to the Port of Savannah’s Ocean Terminal, which is currently in a renovation phase, although freight operations have continued throughout the work. Another one of those upgrades is a $29 million exit ramp running from the terminal directly to local highways, allowing trucks direct highway transit to Atlanta without any traffic lights until entering Atlanta. The ramp project is 60% complete and is designed with the local community in mind to keep container trucks off local neighborhood roads.
"The completion of this project in 2028 will enable Ocean Terminal to accommodate the largest vessels serving the U.S. East Coast," Ed McCarthy, Chief Operating Officer of Georgia Ports, said in a release. "Our goal is to ensure customers have the future berth capacity for their larger vessels’ first port of calls with the fastest U.S. inland connectivity to compete in world markets."
"We want our ocean carrier customers to see us as the port they can bring their ships and make up valuable time in their sailing schedule using our big ship berths. Our crane productivity and 24-hour rail transit to inland markets is industry-leading," Susan Gardner, Vice President of Operations at Georgia Ports, said.
It appears to have found that buyer in Aptean, a deep-pocketed firm that is backed by the private equity firms TA Associates, Insight Partners, Charlesbank Capital Partners, and Clearlake Capital Group.
Through the purchase, Aptean will gain Logility’s customer catalog of over 500 clients in 80 countries, spanning the consumer durable goods, apparel/accessories, food and beverage, industrial manufacturing, fast moving consumer goods, wholesale distribution, and chemicals verticals.
Aptean will also now own the firm’s technology, which Logility says includes demand planning, inventory and supply optimization, manufacturing operations, network design, and vendor and sourcing management.
“Logility possesses years of experience helping global organizations design, build, and manage their supply chains” Aptean CEO TVN Reddy said in a release. “The Logility platform delivers a mission-critical suite of AI-powered supply chain planning solutions designed to address even the most complex requirements. We look forward to welcoming Logility’s loyal customers and experienced team to Aptean.”
Netstock included the upgrades in AI Pack, a series of capabilities within the firm’s Predictor Inventory Advisor platform, saying they will unlock supply chain agility and enable SMBs to optimize inventory management with advanced intelligence.
The new tools come as SMBs are navigating an ever-increasing storm of supply chain challenges, even as many of those small companies are still relying on manual processes that limit their visibility and adaptability, the company said.
Despite those challenges, AI adoption among SMBs remains slow. Netstock’s recent Benchmark Report revealed that concerns about data integrity and inconsistent answers are key barriers to AI adoption in logistics, with only 23% of the SMBs surveyed having invested in AI.
Netstock says its new AI Pack is designed to help SMBs overcome these hurdles.
“Many SMBs are still relying on outdated tools like spreadsheets and phone calls to manage their inventory. Dashboards have helped by visualizing the right data, but for lean teams, the sheer volume of information can quickly lead to overload. Even with all the data in front of them, it’s tough to know what to do next,” Barry Kukkuk, CTO at Netstock, said in a release.
“Our latest AI capabilities change that by removing the guesswork and delivering clear, actionable recommendations. This makes decision-making easier, allowing businesses to focus on building stronger supplier relationships and driving strategic growth, rather than getting bogged down in the details of inventory management,” Kukkuk said.