The business case for collaborative robots is already becoming clear in many settings, with a 69% expected compound annual growth rate.

This significant uptake for cobots is based on the following:

1. Simpler use cases — There are now robots for most applications from materials handling to assembly. In addition, the use cases for cobots are simpler to conceive than their robot cousins, and there is a higher availability of talent to apply them.
2. Simpler to implement — Cobots benefit from the trend that programming in general is becoming easier. In this case, not only is simulation software available to prove designs, but improved industrial connections now help organizations better integrate the robotic arm (end effector) with the systems input/output. Programming the path of robots has always been relatively easy for point-to-point operation, but now even complex tasks are more accessible.
3. Simpler to use — Simplicity with cobots makes daily operations more accessible to the front line generally, making factories less dependent on expert suppliers and engineering departments.

These aspects make cobots attractive by lowering the total cost of ownership – a benefit that is amplified when compared to increased labor costs, turn over and shortages.

Cobots are not a panacea for robotics. But they do offer another area of applications, due to lower cost and improved use cases.

In the industrial space, robots have been working at our sides for two decades or more — that’s a long time. What has changed recently, giving robots an entirely new purpose, is the explosion of e-commerce.

To step back a little, as e-commerce has developed, customers have had ever higher expectations for delivery times. The holy grail has become same-day delivery, even delivery within a few hours. But in the distribution center, there’s a balance that has to be struck between predicting demand and being pre-ready for it.

This balance might entail having items already packed and ready to ship, and doing things just in time. You could keep items packed and ready to be shipped, or you could pack them on demand, as the orders come in. If you pre-pack and overestimate demand, that could entail a lot of inefficient supply chain. If you’re doing things just on time, but relying on manual labor, it’s very hard to scale. So it’s often a trade-off.

Enter cobots, and you gain the ability to do things in real time, but also in scale. And there lies their business case.

Amazon was quick to perceive this business case. The company has a sizeable robotics division, Amazon Robotics, which developed out of their acquisition of Keva. They saw the value in this technology, and it plays a big role in their warehouse fulfillment function. And many other leading e-commerce retailers are using similar technology, helping them meet customer expectations and do it in a timely way. At present, cobots are the only technology capable of achieving these expectations, with the agility to scale sufficiently.

While e-commerce has had a significant impact on the relevance of cobots, with their ability to scale to meet demand just in time, they have other uses besides packing. You’ll see them on the shop floor in manufacturing scenarios, say performing welding tasks, assembly and such — they’re ideal for taking on repetitive, manual tasks, particularly when there’s a severe shortage of manual labor. And even when there is the manpower, they provide the ability to free humans from monotonous tasks allowing them to do higher value work.

But the game changing use I’m seeing with cobots is in e-commerce, because of their ability to do things just in time, and at scale.

Industrial robots have been deployed in warehouses and factories for a long time.

These robots have traditionally been fit for purpose, expensive to program and were lacking in the sophisticated capabilities needed to work alongside humans. Furthermore, until recently robots were stationary and did not move around.

New generations of mobile robots, however, add intelligence, guidance and sensory awareness allowing them to operate self-navigate independently and amongst humans.

In the past year, according to our research, piloting and adoption of different form factors of robots has increased as the costs and complexities have reduced. This is for several reasons:

• In warehouses, Autonomous Mobile Robots (AMRs) are optimized to work on their own or across a group to self-navigate and eliminate bottlenecks.
• In factories, increased interest is driven by shorter training timeframes, ability to handle specialist tasks (at a faster interval) and increased output.

These new efficiencies are enticing. But when considering automation trade-offs, it is important to consider various conditions that tilt the human-versus-robot dynamic:

1. First, consider where it is best to have robots flexibly deployed across the workforce. While increasing efficiency and agility are attractive, safety cannot be overlooked.
2. Second, understand the time it takes to train robots to handle diverse tasks. This entails aligning current and future smart robot capabilities with existing materials handling processes or production processes.
3. Finally, study your various use cases for robotics understanding the specific characteristics of the processes the robots will need to support. A robot that would support one process might not support or be effective for another.

Ocado provides us with a great example of the use of cobots and the business case for them.

Founded as an online-only supermarket in April 2000 by former investment bankers Jonathan Faiman, Jason Gissing and Tim Steiner, Ocado has made a name for itself in recent years as a technology company with expertise in warehouse automation. The company’s success in transforming its own online grocery business was a process that required in-house research and development of proprietary robots, machinery and software. Ocado now licenses the use of its warehouse automation technology to third-party retailers.

A word about Ocado’s robot-staffed distribution centers: At CFC3 in Andover, U.K., Ocado developed a new approach to warehousing automation, shifting from a system based on conveyor belts (in operation in other Ocado sites, including Hatfield, U.K). to one centered around a dense 3D-grid—dubbed the Hive—in which layers of crates containing grocery products are stacked.

Swarms of robots—which communicate with each other using a proprietary 4G-based protocol— move across the grid to collect crates and take them to picking stations where (human) employees pick the individual items needed to fill customer orders. The proprietary 4G technology used at CFC3 allows connections with a frequency of 10 times per second with the 1,000+ robots moving around the warehouse and working within a 150 meter radius, according to Ocado Technology.

The advantages that the Hive’s system has over the traditional warehouse structure (based on conveyor belts) include easier scalability and reduction in both the warehouse space required and average time taken to fill customers’ orders. Ocado Technology says that the Hive’s system can "pick" a grocery item every six seconds and fill a 50-item order in around five minutes.