9.22.2026

A Hotel Run by Robots? We Checked in Through Patents


What if you checked into a hotel—and didn’t meet a single human employee during your entire stay?

A robot in the lobby turns to greet you. Another makes its way toward the guest rooms. A little later, your coffee arrives at the door on a robot’s tray. While you’re out, cleaning robots take care of the floors.

From a guest’s perspective, it all looks effortless.

From a robot’s perspective, almost none of it is.

Pressing an elevator button. Entering an elevator with people already inside. Carrying a cup of coffee without spilling it. Even figuring out what that mysterious thing on the floor actually is.

We barely think about these everyday actions. For a robot, each one is an engineering problem to solve. And some of those solutions have become patented technologies.

So this time, we brought together patents from several companies and checked into an imaginary robot-run hotel.

This isn’t a hotel where all of these technologies are actually operating under one roof. Think of it instead as a journey through patents—and a glimpse of what a stay in a future robot hotel might look like.

CHECK-IN — Is That Robot Looking at Me?

You walk into the lobby, suitcase in tow. As you approach the guide robot, it turns its gaze toward you. Move to the side, and its gaze shifts with you. For humans, this is almost automatic. We notice where the other person is and naturally turn our body and eyes toward them. But how does a robot know where to look?

A guide-robot patent currently listing Bear Robotics Korea as the applicant describes technology that uses information about nearby people to adjust the robot’s posture and gaze according to factors such as the direction of a person’s face. As that information changes during the interaction, the robot can use the updated information to determine what to do next.

In other words, the robot doesn’t simply stare in one direction and repeat the same routine. It can adjust its behavior according to the person it is interacting with.

The patent itself isn’t about processing hotel check-ins. But it offers an interesting glimpse into the kind of human-robot interaction that could make meeting a robot in a lobby feel a little more natural.

wipsglobal.com
KR10-2025-0024805 A
Guide robot and operation method of guide robot

Check-in complete. Time to head upstairs.

ON THE WAY UP — Before Finding the Way, “Where Am I?”

The robot heads toward the elevator. For us, finding our location can be as easy as opening a map and looking for the familiar blue dot. But inside a hotel, where GPS may not be something a robot can rely on, how does it figure out where it is?

A Pudu Robotics patent approaches the problem by using 2D LiDAR to measure the surrounding environment and comparing that information with previously constructed maps to estimate and refine the robot’s position and orientation.

In human terms, it’s a little like thinking: “I just passed the pillar next to the elevator, and there’s a long wall on my right... so I must be somewhere around here.” We use familiar sights as clues. A robot uses environmental data captured by its sensors and compares those clues with its maps.

Knowing the destination isn’t enough. Before deciding where to go next, the robot first needs to know where it is—and which way it is facing.

wipsglobal.com
US 12687637 B2
Fusion positioning method and apparatus, device and computer-readable storage medium

AT THE ELEVATOR — But Who Presses the Button?

The robot has made it to the elevator. And suddenly, a very ordinary problem appears. Who presses the button? For us, it takes one finger and about a second. For a robot, there is a little more to it.

A Pudu Robotics patent describes technology that uses sensors to identify the position of an elevator button panel and the target button, calculates the direction in which the button should be pressed, and then controls a robotic arm to press it. So the robot has to: find the panel → identify the right button → calculate its position and direction → move its arm → press.

Something we do without a second thought becomes a sequence of perception, calculation and physical action.

wipsglobal.com
CN 114348811 B
Robot, robot elevator taking method and device and storage medium

The button is pressed. The doors open. Problem solved? Not quite.

There may already be people, luggage or other obstacles inside. Another Pudu Robotics patent addresses what happens as a robot moves toward its position inside an elevator: it measures its distance from obstacles and determines whether to keep moving or stop based on that distance.

To us, pressing the button, looking ahead and stepping inside feels like one simple action. For a robot, pressing the button and safely entering the elevator are two separate engineering problems.

wipsglobal.com
US 12728534 B2
Method and system for controlling robot to take elevator

ROOM SERVICE — The Coffee Made It. So Did the Coffee.

You reach the room, unpack and order a coffee. A little later, a service robot arrives at your door. You pick up the cup from its tray. Which raises another question: Getting the coffee to your room is one thing. Getting it there still in the cup is another. A robot accelerates, turns and stops. Small bumps in the floor and sudden movements can all send vibrations through the tray.

A VD Robotics patent tackles this problem with a movable tray structure designed to absorb or reduce vibration, helping prevent drinks from shaking or spilling as the robot moves.

When we think about service robots, autonomous navigation and sensors usually get most of the attention. But if the mission is to deliver a drink safely, there’s engineering beneath the cup, too. To the guest, it’s just a cup of coffee. Underneath it is a small piece of engineering working hard to keep it that way. 

wipsglobal.com
KR 102830374 B1
Serving robot drink tray and robot including the same

WHILE YOU’RE OUT — Does Every Spot Really Need the Same Cleaning?

Coffee finished, you head out for the afternoon. Now it’s the cleaning robot’s turn. Would the best cleaning strategy simply be to cover every part of the floor once? Probably not.

Some areas may already be clean. Others may repeatedly get dirty.

One Samsung Electronics patent uses a pollution map containing location-specific contamination information to help identify a pollution source and control the robot’s movement based on its location.

Another Samsung patent uses an indoor map together with information such as dust levels and contamination to divide the cleaning area and plan different cleaning paths depending on conditions and cleaning modes. Put simply, the robot has two questions to answer: “Where is the dirt?” → “So where should I clean more carefully?”

Instead of treating every square meter the same, the robot can use information about the space and its condition to decide how to approach the job.

wipsglobal.com
KR 10-2025-0060869 A
Pollution source determination robot cleaner and operating method thereof

wipsglobal.com
KR 102616863 B1
Robotic vaccum cleaner and method for planning cleaning routes

What If the Robot Looks at the Floor and Thinks, “What is that?” Then the cleaning robot spots something on the floor. The camera sees it—but the robot isn’t quite sure what kind of contamination it is. Now what?

An LG Electronics patent offers a surprisingly interesting answer. When the robot cannot determine the type of contamination with sufficient confidence, it can apply an external stimulus—such as airflow, vibration or light—and use the resulting response to gather more information.

In other words, instead of simply giving up when looking isn’t enough, the robot can essentially say: “Let me poke at the problem a little and take another look.” When we talk about robot intelligence, we tend to imagine better cameras or more powerful AI. This patent takes a slightly different approach. If observing the world isn’t enough, interact with it—and learn something new from the response. That sounds surprisingly familiar.

wipsglobal.com
WO 2025244159 A1
Robot cleaner and control method thereof
(drawing texts translated by AI)

CHECK-OUT — The Hotel Looks a Little Different Now

The next morning, you check out and walk through the same lobby where your stay began. Yesterday, the guide robot simply seemed to turn and look at you. Now you can imagine the technology behind adjusting its gaze to a person’s direction.

At the elevator, you remember everything involved in pressing a button—and that even after the doors open, a robot still has to decide whether it is safe to move inside.

A room-service robot brings to mind the engineering hidden beneath a cup of coffee. A cleaning robot passing through the hallway makes you wonder what it sees on the floor, where it decides to clean next, and what it does when it isn’t quite sure what it is looking at.

The tiny things we barely notice in a hotel are anything but tiny for a robot.

Looking at a person.
Knowing where you are.
Pressing a button.
Moving safely around people.
Keeping coffee in the cup.
Deciding where more cleaning is needed.

Each is a small problem on its own. But solve enough of those small problems—and connect the solutions—and something much bigger begins to emerge: a hotel where living alongside robots feels completely ordinary.

Behind that ordinary experience, however, are more patented technologies than we might ever notice. So the next time you press an elevator button or pick up a cup of coffee at a hotel, consider a slightly different question: “How would a robot do this?” There may be a patent hiding behind the answer.

Serving robot (generated by AI)

The patents featured in this story were researched using WIPS CLIP. This article combines related technologies patented by different companies to create an imaginary hotel experience; it does not imply that these patents are implemented in any particular hotel or product.

 

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< Related articles and Sources>

World's first hotel entirely staffed by robots to open in 2027

Launching the World’s First Full-Scenario Robot-Serviced Hotel

 



9.18.2026

Patent Data, Still Searching and Downloading One File at a Time? Get the Entire Database Instead

 

When conducting patent or trademark research, you probably search by keyword on a portal or search platform, download the results to Excel, and use them to prepare reports.

But what if you need to build an in-house system, train an AI model, or analyze millions of records at scale? Searching and downloading data every time quickly becomes inefficient.

That is where bulk IP data supply comes in.

WIPS provides large-scale IP databases that can be integrated directly into your own systems. Let’s take a closer look at what makes WIPS IP data different and how it can be used.

1. “Data for People” vs. “Data for Systems”

One of the most common questions is how purchasing IP data differs from simply downloading search results. The key difference is the purpose.

Search Result Downloads — Data for People

Users search for the information they need and download selected results to Excel for reports, research, or other business documents.

Data Products — Data for Systems

Large-scale patent, trademark, and design data covering more than 400 million records across 112 countries can be loaded directly into your own servers and systems.

Instead of being reviewed one record at a time, the data can power automated systems such as internal dashboards, analytics platforms, and AI models.


2. Why Not Just Use Free Public or Raw Data?

You may wonder, “Why not simply download free data from public databases or national IP offices?” The problem is that raw IP data is extremely difficult to use as-is.

Different formats across countries

Application numbers, publication numbers, company names, and other bibliographic information are represented differently from country to country and across languages. Standardizing them into a single database requires significant time, expertise, and cost.

Extensive processing required

Raw data does not necessarily provide analysis-ready information such as patent family and citation relationships, claim type classifications, or extracted technology keywords in a clean and structured form.


WIPS IP Data is preprocessed and standardized before delivery. Numbering systems from more than 22 countries are converted into a unified format with over 99.99% accuracy, while company names written differently across languages and jurisdictions are consolidated under standardized entity codes.

The result is analysis-ready data that can be used immediately for analytics, system integration, or AI training.

Beyond Patent Publications: More Than 500 Million Value-Added Data Records from WIPS

WIPS provides a wide range of enriched and structured data that cannot be found directly in patent publications.

· Patent Family & Citation Relationships
Applications filed in different jurisdictions are grouped by tracing priority relationships, while cited documents are linked by citation depth for more sophisticated relationship analysis.

· Claim Type Classification
Claims are classified into independent claims, dependent claims, and canceled/deleted claims.

· Keyword Extraction & Document Field Segmentation
Key technology terms are extracted from patent specifications, while detailed descriptions are structured into meaningful fields such as technical field, problem to be solved, solution, and effects.

· Patent Metrics & Indices
Nine types of patent metrics are available, including CPP (Citations per Patent), PFS (Patent Family Size), PII (Patent Impact Index), and TS (Technology Strength).

· AI-Based Patent-to-Industry Classification
Patents are mapped to manufacturing sectors under the Korean Standard Industrial Classification (KSIC), creating structured links between patent technologies and industries.

· Unified Company Codes
Different variations of company names are normalized and consolidated under a single company identifier.
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3. How Can Patent Data Be Leveraged in the AI Era?

More companies are now building their own AI, LLM, and RAG (Retrieval-Augmented Generation) systems. WIPS provides IP data products specifically designed to support these AI development environments.

AI-Optimized Summary Data
Key technologies, technical problems, solutions, and effects are summarized into concise information optimized for AI training and retrieval.

Structured Document Fields
Long and complex patent specifications are segmented into meaningful sections, helping AI models interpret and process patent documents more effectively.

AI- and Big Data-Ready Formats
Data can be delivered in developer-friendly formats such as JSONL and Parquet, making it easier to integrate directly into AI and big data workflows.

4. How Is WIPS IP Data Used in the Real World?

Here are some examples of how IP data can create practical business value.

1) R&D Strategy and Design-Around

Patent filings and changes in competitors’ patent rights can be integrated with internal R&D systems via API. Instead of repeatedly conducting manual searches, R&D teams can continuously access updated patent intelligence and use it to guide technology development and design-around strategies.

For example, automotive parts manufacturer COAVIS used WIPS patent data to support its R&D activities and filed 23 patents for core technologies.

2) New Product Development and Technology Scoring

Technology keywords and patent evaluation indicators—such as citation and market coverage metrics—can be analyzed to identify new business opportunities and objectively assess the value of technologies.

3) Dispute Prevention and Risk Management

Companies can monitor potentially infringing trademarks in overseas markets or analyze patterns in trial and appeal decisions to identify potential IP risks before they develop into disputes.

4) Corporate Investment and Evaluation

By combining corporate financial information with qualitative patent indicators, investors and analysts can gain a clearer picture of a company’s underlying technological capabilities and innovation potential.

5. How Is the Data Delivered?

WIPS IP data can be provided in a variety of ways depending on your company’s IT environment, including API integration and file-based delivery in formats such as XLSX, CSV, and JSON.

After receiving the initial complete dataset (Backfile), customers can receive only newly added or updated records (Current Data) on a weekly, monthly, or quarterly basis.

This makes it easy to maintain an up-to-date internal IP database without repeatedly rebuilding or downloading the entire dataset.

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Go beyond searching patents one at a time. Build your own IP intelligence infrastructure with WIPS data.

For inquiries about WIPS IP data products and bulk data supply, please contact global@wips.co.kr.




9.17.2026

Reducing Aviation's Climate Impact with Small Altitude Changes: AI and Contrail Mitigation Patents


Google and Cathay Pacific’s real-world flight trial shows how relatively small changes in altitude could help reduce aviation’s climate impact. We looked at related patents to see how prediction, sensing, aircraft control, fuel management, and even lasers could contribute to the same goal.


What if an aircraft could reduce its climate impact simply by flying a little higher—or a little lower?

On September 7, 2026, Google and Cathay Pacific announced results from a real-world trial of contrail avoidance technology. More than 80 flights followed contrail-avoidance routes, and according to Google’s analysis, the warming impact of contrails from those flights was reduced by an estimated 40%.

There is an important distinction here: that 40% refers specifically to the warming impact of contrails. It does not mean that fuel consumption, CO₂ emissions, or aviation’s overall environmental impact fell by 40%.

Still, the trial is significant because it suggests that relatively small adjustments to existing flight operations could help reduce part of aviation’s climate impact.  1)

Those White Lines in the Sky Can Affect the Climate?

The word contrail is short for ‘condensation trail’. Contrails are ice-crystal clouds that form when aircraft exhaust meets sufficiently cold and humid air at high altitude.

Contrails from an aircraft
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Most contrails disappear quickly. Under certain atmospheric conditions, however, they can persist and spread into wider cloud formations. Persistent contrails can both reflect incoming sunlight and trap heat that would otherwise escape from the Earth. Overall, their net effect is understood to contribute to warming.2)

So what if aircraft could identify the atmospheric regions where persistent contrails are most likely to form—and simply avoid them?

That is exactly the idea Google and Cathay Pacific are putting to the test.

AI Finds a Way Around Contrails

The basic idea sounds surprisingly simple: identify areas where persistent contrails are likely to form, then make a small altitude adjustment to fly around them.

Making that work in real-world aviation, however, is much more complicated. Airlines need to know where and when contrail-forming conditions are likely to occur, while continuously considering weather, airspace restrictions, aircraft performance, safety, and other operational factors.

Google’s solution combines AI-based prediction models, weather intelligence, and satellite imagery to forecast areas where contrails are likely to form.

Cathay Pacific then delivers these changing forecasts to pilots through in-flight connectivity and its proprietary Electronic Flight Folder (EFF), allowing pilots to view contrail information alongside other operational data.3) In other words, AI identifies areas with a higher likelihood of contrail formation, while pilots and flight operations teams decide how—or whether—to adjust the flight path based on actual operating conditions. That connection between AI prediction and real-world flight decisions is one of the most interesting aspects of the trial.

But Is Changing the Flight Path the Only Option?

Google and Cathay Pacific are testing an operational approach based on flight-path adjustments. But is avoiding contrail-forming airspace the only way to tackle the problem?

We searched WIPS Global for related patent technologies.

What we found was a surprisingly diverse collection of ideas: predicting contrails before they form, monitoring them after they appear, switching between different fuels, and even using lasers.


The patents below are examples of technologies related to contrail mitigation. They do not indicate that Google or Cathay Pacific used these patented technologies in their trial.


 Predict the Contrail—and Find a Better Flight Path

wipsglobal.com
US 12210356 B2
Method for optimising the atmospheric radiative forcing of aircraft flight operations on climate by forecasting and validating aircraft contrail formation

 This patent describes a method for using weather and flight information to predict contrail formation and its potential climate impact, then using those predictions to identify more suitable flight paths.

Rather than considering only whether a contrail is likely to form, the method also takes radiative forcing into account when comparing possible routes. After a flight, actual contrail formation can be checked against the forecast to help validate the prediction.

Put simply, the technology asks: “Which route could reduce the climate impact of contrails?” That makes it particularly relevant to the broader technological challenge explored in the Google and Cathay Pacific trial.

The Contrail Is Already There. Now What?

wipsglobal.com
US 12366211 B2
Aircraft contrail monitoring and targeted mitigation

This patent takes a somewhat different approach. It focuses on monitoring contrails generated by an aircraft and evaluating their impact using information such as flight conditions, environmental data, and engine parameters.

The goal is not simply to determine whether a contrail exists. The system analyzes the contrail together with the surrounding conditions, assesses its potential impact, and can help determine whether mitigation measures are needed.

If the previous patent is about predicting where contrails may form and avoiding them, this one is closer to detecting what has actually formed and deciding how to respond. 

Two Fuels, One Goal: Fewer Contrails

wipsglobal.com
US 12612877 B2
Contrail suppression

Airbus approaches the problem from an entirely different direction. Instead of changing the flight path, this patent focuses on fuel.

The technology describes selectively using different fuels depending on flight conditions. A conventional fuel may be used when contrail formation is unlikely, while another fuel better suited to reducing contrail formation can be used when conditions become favorable for persistent contrails.

The interesting part is that the aircraft does not necessarily rely on one specialized fuel throughout the entire flight. Instead, it selects the appropriate fuel when needed. Same problem, different lever: rather than changing where the aircraft flies, the technology changes what it burns.

US 12612877 B2

Firing a Laser at a Contrail?

wipsglobal.com
US 12202617 B2
Aircraft laser contrail reduction apparatus and system

And then there is the laser.

This Boeing patent describes using aircraft sensors to detect environmental conditions associated with contrail formation, such as temperature and altitude. When appropriate conditions are detected, a laser system positioned around the engine can direct a beam toward the region where a contrail is forming.

Instead of rerouting the aircraft or changing its fuel, the approach attempts to intervene directly in the contrail formation process itself.

AI predictions, fuel management—and now lasers. It is a good reminder that a single technical problem can inspire very different engineering solutions.

US 12202617 B2


A Small Altitude Change, Backed by a Much Bigger Technology Story

The Google and Cathay Pacific trial demonstrates an intriguing possibility: reducing contrails may not always require redesigning the aircraft itself. Better predictions and relatively small adjustments to an aircraft’s route could potentially make a difference using aircraft already in service today.

But our search in WIPS Global shows that the technology landscape goes much further.

Some inventions try to predict where contrails will form and find a better route. Others monitor contrails after they appear. Some change the fuel being used, while others attempt to interfere directly with contrail formation using lasers.

A white trail that may disappear from the sky in minutes turns out to involve a surprisingly wide range of technologies—from AI and atmospheric prediction to sensors, aircraft control, fuel systems, and lasers.

As contrail mitigation moves from research into real-world flight operations, it will be interesting to see which of these approaches prove practical at scale—and what new patent technologies appear along the way.

Smoke trails at an airshow
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<Related Articles & Sources>

TechRadar, https://www.techradar.com/

1) Google, Our new contrail avoidance trial in Asia-Pacific

2) Google, How AI is helping airlines mitigate the climate impact of contrails

3) Cathay Pacific, Cathay Pacific and Google Partner to Research and Trial AI-Powered Contrail Avoidance