Introduction
AI robots are showing up everywhere—on factory floors, in homes, in schools, hospitals, and even in space. And their presence is growing fast. According to the Robotics Market Industry Research Report 2025, the global robotics market is expected to grow from USD 64.8 billion to USD 375.8 billion by 2035, at a CAGR of 17.33%. But here’s the thing: not all AI robots are the same. Some robots build cars. Some clean your living room. Others teach kids how to code. There are robots exploring Mars, offering emotional support, or even mimicking human movement and behavior.
With so many different forms and functions, it helps to understand how AI robots are categorized. One useful way to think about them—introduced in Introduction to AI Robotics by Robin Murphy—is to group them by role: tools, agents, and collaborators. Some robots simply follow instructions. Others sense their surroundings and make decisions. And a growing number are built to work side-by-side with people. Whether you're exploring factory automation with robotic arms, shopping for robotic toys at a robot store, or considering an AI buddy for your home, knowing what you're looking at makes a difference.
In this post, we will break down the main categories of AI robots. We’ll look at what makes each type different, what they’re good at, and where you’re likely to find them. You’ll learn about industrial robots, service robots, educational robots, social robots, exploration robots, and humanoid robots. By understanding these categories, we get a clearer picture of how AI robots fit into our daily lives—and how they’re changing the way we work, learn, and connect with the world.
What Are Industrial Robots?
Industrial robots are machines designed to automate tasks in factories. These robots handle repetitive, high-precision jobs like welding, assembling parts, and moving heavy items. They are the backbone of modern factory automation, improving production efficiency, quality, and safety.
Industrial robots are often robotic arms. These arms follow preprogrammed routines to complete tasks accurately and efficiently. The robots’ ability to work quickly and with high precision reduces human error and boosts productivity on the production line. This is especially true in industries like automotive manufacturing, electronics, and logistics, where robots take on high-volume, high-repetition tasks. In a typical industrial setting, you’ll find these robots working in controlled environments with safety barriers separating them from human workers. This is because traditional industrial robots are designed to operate autonomously without the need for human interaction. They are programmed to do specific jobs with great reliability, but they don’t adapt to new or changing tasks easily. This lack of flexibility has been one of their major limitations.
Some well-known examples include ABB’s IRB 120, FANUC’s R-2000iB, and Kawasaki’s RS020N. These models are optimized for speed, precision, and consistency, making them ideal for tasks such as material handling, welding, and assembly. They are built to execute specific, repetitive tasks in a fixed manner. In terms of function, traditional industrial robots are considered tools. They don’t perceive or adapt—they just follow instructions, like a smarter version of a wrench or drill. Their strength lies in reliability, not flexibility.
However, with the rise of AI and machine learning, some industrial robots are beginning to incorporate more intelligent capabilities, allowing them to function more like collaborators. For instance, advanced robots like Kawasaki’s duAro and ABB’s YuMi have sensors, vision systems, and force feedback that allow them to detect changes in their environment and adjust their actions in real time. These capabilities mark a shift from simply being tools to becoming collaborators with more adaptive functions.
What Are Exploration Robots?
Exploration robots are built to go where humans can’t. These robots operate in extreme environments such as deep underwater, inside collapsed buildings, or on distant planets. Their primary function is not to help people directly but to explore the unknown.
Exploration robots rely on AI exploration robotics to function with little or no human control. They use sensors, cameras, and onboard decision-making to navigate complex terrain, avoid obstacles, and complete tasks. Whether it’s collecting soil on Mars or inspecting underwater pipelines, exploration robots carry out these tasks with autonomy and precision.
Space robots, like NASA’s Mars rovers, are well-known examples. Once deployed, these robots must analyze their surroundings, plan paths, and sometimes make real-time decisions. The challenges are even greater in ocean research, where underwater robots must operate in GPS-denied environments to map the seafloor, monitor ecosystems, or investigate shipwrecks. For example, MBARI’s MOLA AUV (Autonomous Underwater Vehicle) is designed for oceanographic research. It uses sonar, high-definition cameras, and stereo vision systems to collect data from hard-to-reach areas of the ocean floor, providing valuable insights into marine ecosystems without human intervention.
There are also rescue robots—designed specifically for post-disaster environments. These robots can enter unstable buildings or tunnels after earthquakes, helping locate survivors without risking human lives. For example, TALON, a robot used in disaster zones, is equipped with cameras, LiDAR, and environmental sensors to navigate rubble-filled areas. It helps locate victims, survey hazardous areas, and transmit real-time data to rescue teams. Rescue robots often rely on AI and machine learning to process real-time environmental data, providing critical information for emergency teams.
Most exploration robots function as agents. They perceive, process, and act independently in dynamic, high-risk environments. Unlike collaborative robots that work alongside humans, exploration robots often operate alone, far from human supervision. Their priority is data gathering, not conversation. Unlike social robots, they don’t need to recognize emotions or engage in dialogue. Their intelligence focuses on sensing, reacting, and adapting to changing physical conditions.
What Are Service Robots?
Service robots are designed to assist people with everyday tasks. Unlike industrial robots, which typically work in controlled environments like factories, service robots operate in public or personal spaces—such as homes, hotels, hospitals, and even restaurants. Their primary functions include cleaning, delivering items, and guiding people.
For example, robotic vacuums like Roomba autonomously clean floors. They use sensors and AI to map out the environment, avoid obstacles, and adapt their movement paths, ensuring thorough cleaning without human intervention. da Vinci Surgical System, a well-known service robot in the medical field, assists surgeons in performing minimally invasive surgeries. The da Vinci robot is a highly specialized tool, allowing surgeons to perform delicate operations with greater precision. While it doesn't operate autonomously, it enhances the surgeon's ability to conduct complex procedures. Despite its advanced features, it still requires human oversight for decision-making.
Service robots are primarily designed for function, not personality. Most of them don’t talk or interact emotionally. Instead, they simply make life easier by taking over small, repetitive tasks. In terms of intelligence, most service robots operate as agents. They sense their surroundings, process information, and respond to changes in their environment. These robots can perform tasks autonomously, but typically without collaborating directly with humans. They’re equipped to act independently but are not designed to share goals or make joint decisions with people.
However, the line between agent and collaborator is starting to blur. Some advanced service robots are beginning to work more closely with humans, such as robots that assist waitstaff in restaurants or nurses in hospitals. These robots can adjust their actions in real time, enabling them to be more helpful in shared tasks, making them increasingly collaborative. As AI improves, more service robots are entering restaurants, airports, and offices.
What Are Social Robots?
Social robots are designed to interact with people in human-like ways. They use emotion AI to detect facial expressions, voice tone, and gestures, responding with sounds, movements, or expressions of their own. While they may not feel emotions, they’re built to recognize and reflect them in ways that feel natural.
Examples include Aibo, the robotic puppy that learns your behavior and shows affection, and PARO, the soft seal robot used in hospitals and elder care to comfort patients. Newer robots like Moxie act as AI companions for children, holding simple conversations through voice and facial recognition.
These robots are often used in care settings, education, and mental wellness. They serve emotional and social functions—reducing loneliness, encouraging communication, or helping people practice empathy. Most social robots function as agents. They gather input (via cameras, microphones, or sensors), process it, and respond accordingly. Some models that engage in sustained interaction, like giving feedback or adapting over time, may begin to act as collaborators.
What Are Educational Robots?
Educational robots are interactive devices designed to support children’s learning and development through engaging play. These robots help kids develop a variety of skills, including problem-solving, creativity, critical thinking, and even basic scientific and engineering concepts. They fall under the broader category of educational toys, providing children with opportunities to explore new ideas and concepts in a fun and engaging way.
Many educational robots are designed to introduce kids to STEAM (science, technology, engineering, arts, and math) concepts in a playful and accessible way. They can be used to teach simple engineering principles, artistic expression, or even problem-solving strategies through real-world challenges. In terms of intelligence, educational robots can function in various ways. Some may act more like tools, responding to preset commands or pre-programmed routines. Others, however, are more interactive and adaptive, sensing their environment, reacting to user input, and providing feedback based on how children interact with them. These robots can help children explore concepts like cause and effect, spatial awareness, and logical thinking while also encouraging imagination and creative play. Many of these robots, like Miko 3, function as agents, perceiving and reacting to their environment based on interactions with the user.
As the boundaries between educational robots and social robots blur, a new category has emerged: edutainment robots. These robots combine learning with entertainment, offering a playful and engaging way for children to learn while also providing emotional interaction. They aim to make learning fun and immersive while fostering emotional intelligence and creativity.
In line with this emerging trend, during our June 20th product launch (https://www.whalesbot.ai/blog/whalesbot-successfully-hosts-from-start-to-future-2025-product-launch-event), WhalesBot introduced a series of exciting new educational robots that blend learning with entertainment. Among the products showcased were H7, a robot designed with embodied intelligence to assist in AI and robotic-assisted teaching, and PUBBO, a learn-through-play robot that helps kids develop coding skills while fostering creativity, social interaction, and important life skills. These products, alongside many others we are currently developing, highlight our commitment to revolutionizing learning through technology. Stay tuned for more updates on their release dates and upcoming features!
What Are Humanoid Robots?
Humanoid robots are built to look and move like people. They usually have a head, two arms, two legs, and sometimes even expressive faces. Their purpose is to operate in human environments, performing tasks designed for human interaction.
Examples include ASIMO by Honda, Atlas by Boston Dynamics, and Optimus by Tesla. These robots walk, balance, climb stairs, and perform gestures or facial expressions.
Humanoid robots rely on humanize AI to interact naturally with humans. They can recognize people, understand speech, and move in ways that feel natural. Some are designed for public-facing jobs, like guiding visitors in offices or delivering items in stores. Others are made for research, mobility training, or physical assistance.
In terms of capability, most humanoid robots function as agents. They perceive and respond to their environment using sensors, vision, and basic planning. Some advanced systems are beginning to act more like collaborators, especially in settings where they assist people with shared tasks.
Building humanoid robots is difficult. Challenges like walking on two legs, balancing, and handling objects remain. But the field is progressing quickly. Some humanoid robots are already being tested in healthcare, logistics, and customer service.
Final Thoughts: AI Robots in 2025 and Beyond
As we move closer to AI 2025, robots are becoming smarter, safer, and more useful. Whether in factories, homes, schools, or deep space, robots are finding their place—not as replacements for humans, but as tools, agents, and increasingly, collaborators.
This simple framework—introduced by Robin Murphy—helps us make sense of a fast-changing field. Some robots still function as tools, following strict instructions. Others act as agents, sensing and reacting to their environments. And the most advanced ones are starting to collaborate with us—sharing goals, adapting to context, and working side by side.
Not all AI robots need to look like humans. Some roll on wheels. Others look like pets. What matters is what they can do—and how they fit into our world. It’s easy to get lost in hype. But understanding where each type of AI robot fits along this spectrum gives us a clearer picture of what's real, what's useful, and what's ahead. So whether you're browsing a robot store, looking for an AI buddy, or simply curious about what's next, understanding these roles is the best place to start.
In the coming posts, we’ll explore each category in more depth—from how robotic toys teach coding to how humanoid robots are learning to move and interact more naturally. Stay tuned.
