#robot

by David Klemt David Klemt No Comments

Tech this Out: Rise of the Cobots

Tech this Out: Rise of the Cobots

by David Klemt

Red arm of a humanoid robot

As technological innovations continue to flood the hospitality industry, restaurant and hotel robots appear to be on the rise.

Or, perhaps more accurately, robotics companies appear to be targeting hospitality more.

There were, for example, far more robots on the National Restaurant Association Show floor this year. Beverage-making robots, server bots, room service delivery robots, lobby “host” and information bots, automated robot arms… There were robots in each hall.

Interestingly, however, a different word is beginning to take hold: “cobot.”

While the concept isn’t newcobots have been working in other industriesthe word is likely new to hospitality professionals.

Simply put, “cobot” is a portmanteau of “collaborative robot.” These are, therefore, robots that work alongside and with humans. In other words, the term implies that these robots aren’t here to replace people.

Rather, we’re to believe that cobots are just here to take over hazardous and tedious tasks.

Dropping fries? Let the cobot do it. Flipping patties? Why should a human do that when we have cobots? Food is up? Send out the serverbot. Table needs turning? The cobot can drop the dishes, flatware, and glassware to the dishwasher station.

It’s difficult for me to not be skeptical. “Cobot” may aim to imply collaboration, but how long until most of the back of house is automated? How long until members of the kitchen team go from “freed up” to replaced fully?

On the flip side, however, I do see the appeal. Some tasks are tedious. There are hazardous tasks. Labor costs are too high. It is difficult to find and retain talent.

Cobots and other forms of automation offer viable solutions.

Cobots, Roll Out!

So, are these pie-in-the-sky vanity prototypes getting media attention? Or are there really cobots available?

If you have the money and the inclination, these robots aren’t vaporware. There are robots designed to take on several restaurant and hotel tasks that can work at your venue today.

Of course, you have to keep your back-of-house and front-of-house footprint and layout in mind. Perhaps more importantly, you also need to understand how your guests feel about technology, automation, and robots.

I don’t mean making assumptions, either. No, not every Millennial or member of Gen Z is tech-hungry. In fact, some are tech-averse and don’t want robots making or delivering their food. It’s not, as some would say, a vibe.

This is to say, the decision to bring cobots into your business isn’t just about cost. This robots will affect your bottom line in various ways, affect your team, and affect the guest experience. In turn, that means they affect your brand.

Of course, cobots and automation do work with some concepts and brands. If automation and tech-savviness are part of the brand, cobots should work.

However, it’s wise to proceed cautiously and intentionally.

Guidance, Information and Entertainment

SoftBank Robotics manufactures Pepper, a robot my friends and I have interacted with in Las Vegas.

Formerly the Mandarin Oriental Las Vegas, we’ve played around with Pepper at the Waldorf Astoria over the years. Pepper has offered to help us check in, provide information about the hotel, told us jokes, and played music and danced with us. (It’s possible we’ve danced with Pepper after visiting the hotel’s Moët & Chandon vending machine.)

Another interactive robot is Guiderbot G2, also known as Peanut, by Keenon Robotics. I’ve interacted with Peanut at the 2023 NRA Show in Chicago and this year’s Hospitality Show in Las Vegas. Peanut is, for lack of a better word, cute and people seem to want to engage with it.

As one may guess from the formal name of Guiderbot, Peanut is tasked with a mission similar to Pepper’s.

Delivery and Bussing

I also “met” Keenon’s Butlerbot W3, Peanut’s room service delivering peer. Interestingly, the four doors can be configured to best deliver to a guest or guests.

Then there are the Dinerbots, a series of Keenon robots that can “work” at restaurants and drop orders off at tables.

Spend any amount of time on most hospitality trade show floors and you’ll encounter front-of-house delivery cobots. And, of course, these robots can be used to clear tables and pop by the dishwashing station.

Production

Most operators, when thinking about automation, are likely familiar with Flippy, Flippy 2, and Flippy Lite.

From Miso Robotics, this family of robots features robot arms that tend to fryers. That a Flippy can handle just about any fried food and fit in most kitchens without much modification (if any) makes these cobots attractive.

From what I’m seeing, robotic arms are the cobots du jour. Along with Flippy there are the Intelligent French Fry Robotic Solution from Atosa; FryBot from Lab2Fab; and the Wingman from Nala Robotics. And that’s just a few of the cobot arms out there.

Of similar design are a variety of automated beverage-producing robots. At the moment, these tend to be robotic arms contained within a trailer or kiosk that are capable of quickly serving personalized coffees. One impressive example is Robojo by Zink.

There are also automated make lines, such as the Robochef SmartLine and TechMagic P-Robo.

We don’t know how long it will be until robots are commonplace in restaurants. For now, they seem to be at home mostly in a select few chain restaurants, niche operations in destination markets, and hotels.

However, as we all know, as tech goes from early adoption to ubiquity, cost becomes less of a barrier of entry. My concerns, for now, are the risks to people’s jobs and the impact on the guest experience.

Image: Mathew Schwartz on Unsplash

KRG Hospitality tech stack consulting. Tech. Technology. CRM. POS. Restaurant. Bar. Cafe. Lounge. Hotel. Resort.

by David Klemt David Klemt No Comments

Yes, We Finally Spoke with Google Bard

Yes, We Finally Spoke with Google Bard

by David Klemt

Person using Google Bard AI on their phone

Come on, now—you must know that after speaking with ChatGPT and Bing AI and sharing those chats our conversation with Google Bard is next.

Perhaps because its launch is more recent, Bard is slower to answer than ChatGPT. I can’t know for certain but it’s reasonable to assume eager users are overwhelming Bard.

As far as the user experience, I like that Google includes a disclaimer about interacting with Bard. Unsurprisingly, Google warns that Bard can provide inaccurate, misleading, or false information. Interestingly, the company also recommends people “Google it” if they’re unsure about the answers Bard offers.

Below you’ll find the same questions I asked of ChatGPT in January and Bing AI in March. Not surprisingly, Bard “believes” robots and AI are more beneficial than detrimental for our industry.

Please write 400 to 500 words about robots and artificial intelligence working in restaurants, from the perspective of robots and AI.

As a robot working in a restaurant, I have a unique perspective on the challenges and opportunities that automation presents. On the one hand, it can be difficult to compete with humans who are more flexible and creative. On the other hand, automation can help restaurants to reduce costs and improve efficiency.

One of the biggest challenges for robots in restaurants is the need to be able to adapt to changing circumstances. For example, if a customer makes a special request, a robot needs to be able to adjust its plans accordingly. This can be difficult, as robots are often programmed to follow a set of instructions.

Another challenge is the need to be able to interact with customers in a natural and engaging way. Customers expect robots to be polite and helpful, and they should be able to answer questions and provide assistance. This can be difficult, as robots are often not as good at understanding human language as humans are.

Despite these challenges, there are also many opportunities for robots in restaurants. Automation can help restaurants to reduce costs by eliminating the need for human employees. This can be especially beneficial in areas with high labor costs. Automation can also help restaurants to improve efficiency by reducing the time it takes to prepare and serve food. This can lead to shorter wait times for customers and higher profits for restaurants.

In addition, automation can help restaurants to provide a more consistent and reliable experience for customers. Robots are not subject to the same fatigue and errors as humans, and they can work 24 hours a day without a break. This can lead to better food quality and faster service.

Overall, I believe that the opportunities for robots in restaurants outweigh the challenges. Automation can help restaurants to reduce costs, improve efficiency, and provide a better experience for customers. As the technology continues to develop, I believe that robots will play an increasingly important role in the restaurant industry.

From the perspective of artificial intelligence, the use of robots in restaurants is a fascinating development. AI has the potential to revolutionize the restaurant industry, and it is already being used to automate tasks such as food preparation, order taking, and delivery.

AI can also be used to personalize the restaurant experience for customers. For example, AI can be used to recommend dishes that customers are likely to enjoy based on their past orders. AI can also be used to create virtual assistants that can answer customer questions and provide support.

The use of AI in restaurants is still in its early stages, but it has the potential to revolutionize the industry. AI can help restaurants to improve efficiency, reduce costs, and provide a better experience for customers.

Can you explain to me, in 300 to 400 words, what the ethical implications are for restaurant, bar, and hotel operators using artificial intelligence and robots to complete tasks?

Sure. Here are some of the ethical implications for restaurant, bar, and hotel operators using artificial intelligence and robots to complete tasks:

  • Job displacement: The use of artificial intelligence and robots could lead to job displacement, as some tasks that are currently done by humans could be done by machines. This could lead to increased unemployment and reduced income for workers.
  • Bias: Artificial intelligence and robots could be biased, as they are often trained on data that is collected from human sources. This could lead to unfair treatment of customers, employees, and other stakeholders.
  • Privacy and security: The use of artificial intelligence and robots could raise concerns about privacy and security, as these systems could collect and store data about customers and employees. This data could be used to track customers’ movements or to monitor employees’ activities.
  • Safety: The use of artificial intelligence and robots could raise concerns about safety, as these systems could malfunction or make mistakes. This could lead to injuries or even death.
  • Customer experience: The use of artificial intelligence and robots could have a negative impact on the customer experience, as some customers may find it unsettling or uncomfortable to interact with machines. Additionally, customers may feel that the use of robots and artificial intelligence detracts from the human element of the service experience.

It is important for restaurant, bar, and hotel operators to consider these ethical implications before implementing artificial intelligence and robots in their businesses. By carefully considering these issues, operators can help to ensure that the use of these technologies is done in a responsible and ethical manner.

Are there risks that human designers and engineers will introduce bias to customer-facing artificial intelligence and robots?

Yes, there are risks that human designers and engineers will introduce bias to customer-facing artificial intelligence and robots. This is because humans are inherently biased, and this bias can be reflected in the way that we design and engineer systems.

One way that bias can be introduced is through the data that is used to train artificial intelligence systems. If the data is not representative of the population that the system will be interacting with, then the system may be biased. For example, if an artificial intelligence system is trained on data from primarily white and wealthy customers, it may have difficulty understanding and serving customers from other backgrounds.

Another way that bias can be introduced is through the algorithms that are used to control artificial intelligence systems. If the algorithms are not designed to be fair, then the system may be biased. For example, if an algorithm is designed to favor customers who spend more money, then customers who spend less money may be treated unfairly.

It is important for human designers and engineers to be aware of the risks of bias and to take steps to mitigate these risks. This can be done by using a variety of methods, such as using diverse data sets, designing fair algorithms, and testing systems for bias. By taking these steps, we can help to ensure that artificial intelligence and robots are used in a fair and ethical manner.

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by David Klemt David Klemt No Comments

Infographic Shows Massive Tech Growth

Infographic Shows Massive Hospitality Industry Tech Growth

by David Klemt

White robot hand

An infographic from Brizo FoodMetrics puts the explosive growth of the hospitality industry technology landscape on display.

It appears that operators, once largely hesitant to embrace new technology, are seeking it out. So, too, it seems, are guests. Intriguingly, many guests expect restaurants, bars, and hotels to innovate technologically.

In a sign of this change, SpotOn is predicting 2023 to be the year when independent operators upgrade their POS systems.

And that’s just one area where tech companies are innovating for our industry. As their infographic shows, Brizo FoodMetrics identifies ten areas of innovation:

  • POS systems
  • Payment platforms
  • Online ordering solutions
  • Reservation and waitlist platforms
  • Inventory, accounting, and purchasing solutions
  • Human resources and staffing
  • Delivery, pickup, and drive-thru tech
  • Marketing, loyalty, and analytics platforms
  • Artificial intelligence, robotics, and automation
  • Ghost kitchen and virtual brand tech

Looking just at Brizo’s POS section, they list 48 platforms as part of their “2023 Restaurant Tech Landscape.” That’s four dozen POS systems, and that’s not even every platform available to operators.

Some will be familiar to operators—Toast, TouchBistro, Clover—as they’re basically synonymous with POS systems. Others, like Tillpoint and OVVI, may be less known. However, that doesn’t mean they’re not worthy of research and consideration.

Explosive Growth and Innovation

Again, the Brizo infographic doesn’t list every single available platform. For instance, I don’t see OpenSimSim under the HR/Staffing section. But the fact that there are still dozens of other platforms—more than in the POS section—shows that tech companies finally want their share of the hospitality pie.

This is, of course, beneficial for operators and their teams for several reasons. One such reason is innovation.

On one hand, the established platforms must innovate to fend off competitors. And on the other hand, upstarts must prove themselves to operators. In other words, new platforms must show they’re not vaporware; they have longevity and won’t abandon their own platform any time soon; they’ll update constantly; they’re simple to learn and use; they integrate with other systems; and that they’re worth an operator’s money and time.

We’re just two months into 2023. Imagine what the 2024 tech landscape is going to look like. And bear in mind, this is a restaurant-focused map—there are categories like property management systems for hotels that aren’t included.

If you’re in the market for a new POS system, want to upgrade scheduling, or are just curious about where the industry is heading, check out the infographic below. Select a few brands that are unfamiliar and look them up.

Brizo FoodMetrics 2023 Restaurant Tech Landscape

To view this infographic on the Brizo FoodMetrics website, click here.

KRG Hospitality Planning Phase, 2023 icon

Image: Possessed Photography on Unsplash

by David Klemt David Klemt No Comments

We Ask ChatGPT About Robots and AI

We Ask ChatGPT About Robots and AI in Restaurants

by David Klemt

Vintage toy robot face and torso

Earlier this week we had “a conversation” with ChatGPT, the now (in)famous chatbot from artificial intelligence research and development company OpenAI.

For my first time interacting with this type of tool, I keep things simple. I attempt to phrase my questions correctly, focusing on the topic of AI and robots in hospitality.

Initially, I receive a response that probably isn’t much of a surprise. But as you’ll see, the chatbot highlights an item or two that aren’t always top of mind with this topic.

Below you’ll find ChatGPT’s responses to one request and two questions.

Please write 400 to 500 words about robots and artificial intelligence working in restaurants, from the perspective of robots and AI.

“Robots and artificial intelligence (AI) are becoming increasingly prevalent in the restaurant industry. This is in part due to the many benefits that these technologies can offer, such as increased efficiency, improved safety, and reduced labor costs. However, it is also important to consider the perspective of the robots and AI systems themselves, and how they are integrated into the restaurant workforce.

One of the main ways that robots and AI are used in restaurants is through automation of tasks that would otherwise be performed by human workers. For example, robots can be programmed to cook food, mix drinks, and serve customers. This can help to improve the efficiency of the restaurant, as robots are able to work faster and more accurately than humans. Additionally, robots can be designed to perform tasks that are dangerous or difficult for humans, such as handling hot oil or sharp knives. This can help to improve safety in the kitchen and other areas of the restaurant.

However, the use of robots and AI in restaurants also raises some important ethical and social issues. Some people may worry that robots will take jobs away from human workers, especially in an industry that already has high turnover rates. Additionally, there may be concerns about the social and emotional impact of having robots as a major presence in the workplace. For example, some people may find it uncomfortable or strange to interact with robots in a social setting, such as a restaurant.

The robots and AI perspective, they are programed to perform their task efficiently without any error. They don’t have any emotions or preferences hence they are not impacted by the same issues that human employees may face like fatigue, stress or burnout. They can work in any environment without needing breaks or vacation days, this can help reduce labor costs, as restaurants can operate with fewer employees. However, it also means that human workers may need to be trained in new skills that allow them to work alongside robots and AI systems.

In conclusion, the integration of robots and AI in the restaurant industry can provide many benefits, including increased efficiency and improved safety. However, it is important to consider the ethical and social implications of these technologies, and to ensure that they are implemented in a way that benefits both the restaurant and its employees. With proper planning and training, robots and AI can be an [sic] valuable asset to restaurant workforce.”

Can you explain to me, in 300 to 400 words, what the ethical implications are for restaurant, bar, and hotel operators using artificial intelligence and robots to complete tasks?

For the most part, ChatGPT repeats talking points from our first interaction. This is likely due to the phrasing of my question. Also, this chatbot is still in its “infancy.”

However, ChatGPT brings up a few new points, and expands on others.

“The use of artificial intelligence (AI) and robots in restaurants, bars, and hotels raises a number of ethical implications that should be considered by operators. One of the main concerns is the potential for these technologies to displace human workers. In an industry that already has high turnover rates and relatively low wages, the use of robots and AI could make it even more difficult for human workers to find and keep jobs. This could lead to increased unemployment, reduced income and work-life imbalance among the impacted employees.

Another ethical concern is the impact that these technologies may have on the customer experience. For example, some customers may find it unsettling or uncomfortable to interact with robots in a social setting, such as a restaurant or hotel. Additionally, customers may feel that the use of robots and AI detracts from the human element of the service experience, and could harm the overall reputation of the business. There may also be concerns about how the data collected by these systems is used and protected, raising question about data privacy and security.

Additionally, some concerns about the way these AI and robots are designed and how they make their decisions, there could be potential for bias, especially when the systems are provided with data that is not representative of the whole population. This could lead to unfair treatment of customers, employees and other stakeholders.

There are also concerns about how the maintenance and repair of these technologies are managed and who is responsible for any accidents or malfunctions that may occur. This is particularly important for safety critical tasks, such as cooking or cleaning. Operators need to ensure that the AI and robots are designed and maintained to the highest standards to prevent any harm to employees or customers.”

Are there risks that human designers and engineers will introduce bias to customer-facing artificial intelligence and robots?

Since ChatGPT mentions bias in response to my first question, I run with that train of thought.

Below is what the chatbot has to say about that topic as it relates to AI and robots.

“Yes, there is a risk that human designers and engineers may introduce bias into customer-facing artificial intelligence (AI) and robots. This can happen in a number of ways, including:

  1. Data bias: If the AI system is trained on a dataset that is not representative of the population it will be serving, it may make decisions or predictions that are biased towards certain groups of people. For example, if an AI system used in a hotel is trained on data from primarily white and wealthy guests, it may have difficulty understanding and serving guests from other backgrounds.
  2. Algorithm bias: The way an AI system is designed and the algorithms it uses can also introduce bias. For example, if an algorithm is designed to prioritize certain inputs over others, it may make decisions that are biased towards certain groups of people.
  3. Human bias: Human bias can be introduced into AI systems through the decisions made by designers and engineers about what the system should do, how it should work and how it should interact with people. For example, if a designer and engineers decide that the robot should be more polite to older customers, it may be less polite to younger customers, or if the system is designed to recognize only certain languages, it may not be able to understand and serve customers who speak other languages.

It is important for human designers and engineers to be aware of the potential for bias in AI systems, and to take steps to minimize it. This can be done by using diverse and representative data when training the AI system, being mindful of the potential for bias in the algorithms used, and involving stakeholders from diverse backgrounds in the design and testing process. Additionally, monitoring and audit the system performance regularly, and providing ways for users to provide feedback on the performance and make adjustments accordingly.

It is important to remember that this is an ongoing process and it requires continuous monitoring and adjustment as the data and environment changes. There is also a need for more research in the field of explainable AI, which would allow human designers and engineers to understand why the AI system is making certain decisions, which can help to identify and mitigate any biases that may have been introduced.”

Takeaways

Obviously, I don’t think ChatGPT “speaks” for the machines. And I don’t think the chatbot was attempting to convince me of anything. There’s nothing overtly nefarious afoot here—this was mainly an entertaining exercise with a newsworthy tool.

That said, I’m not entirely certain how I feel about my interaction with ChatGPT. On one hand, the answers in favor of AI and robots are what one expects: efficiency, speed, consistency, cost reductions, improvements to safety.

But what about what ChatGPT says about biases, programming, representation, and human interactions with tech? To alter a phrase, “Who watches the programmers?”

Hospitality is about the human element. It’s about service and the guest experience. Personally, I don’t think the world will be in a better place if we reduce human interaction.

Dropping baskets into hot oil? Slicing and dicing? Sure, send in the robots…maybe. Reducing the human element in the name of efficiency and profits? I don’t see a benefit worth the risks.

Image: Rock’n Roll Monkey on Unsplash

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