Illustration of Eight Scenarios for Humanoid Robots: The Demand Remains Under the Iceberg
If human society is regarded as a huge operating system, then the technological evolution in the past century has, in essence, been constantly rewriting the division - of - labor logic of this system.
Steam engines and electricity enabled machines to take over physical labor, computers and the Internet began to process information, and today, robots are taking over people's ability to act autonomously in the physical world. AI endows robots with a "brain", gradually evolving them from tools into automated execution modules, with the ability to perceive, judge, and even transform reality.
Many people refer to 2026 as the year when robots will be put into practical use. Although it is still unknown whether they can be smoothly implemented, this statement does capture an inflection point of change. Robots are stepping out of laboratories and capital narratives, breaking away from carefully designed demonstration showrooms, and entering real and complex production and living scenarios.
These scenarios penetrate into the minutiae of all industries, interweaving into a huge and rigorous network in the corners we can and cannot see.
Today, we attempt to outline this network, listing various scenarios of robot applications. Although we cannot cover them all, we can still get a glimpse of the opportunities and unfinished blanks in these scenarios, and how they will rewrite the division of labor and collaboration in human society.
01
Factory: Earliest Penetration, Changing Demands
The factory is the place where robots have penetrated the earliest and most deeply. Although traditional industrial robots and collaborative robots have completed certain industrial automation tasks, there are still problems of limited generalization. Therefore, in situations with limited space, complex operations, dangerous environments, and the need for movement and perception, other forms of robots are still needed to complete the tasks.
When goods enter the factory, robots can classify, transport, and stack the goods, assist in loading and unloading machine tools, and ensure the orderly flow of materials in space. In the production process, the value of robots is more reflected in "flexibility". For example, it can perform grinding, polishing, and laser cutting of complex parts in fine - operation processes, and can also handle spraying, sandblasting, welding, cleaning, etc. on irregular surfaces such as automobile bodies, ship structures, and storage tank pipelines.
In the assembly process, robots can handle the installation of non - standard parts, such as the assembly of dashboards, seats, door panels, and wiring harnesses in automobile manufacturing. At the same time, in high - precision industries such as semiconductor and electronics manufacturing, robots also undertake tasks such as chip assembly and precise alignment.
In the quality inspection process, the efficiency advantage of robots is particularly obvious. Based on the visual recognition system, robots can detect scratches, bubbles, color differences, and dimensional deviations, and check whether screws are tightened and parts are missing. Compared with the sampling inspection mechanism, machine vision is closer to "full inspection", which can effectively improve the overall yield.
Whether in industrial manufacturing or e - commerce, warehousing and logistics are an indispensable part. The "goods - to - person" system can actively transport shelves, containers, or pallets to the vicinity of operators. AMR (Autonomous Mobile Robots) and unmanned forklifts can plan paths in real - time and respond dynamically to environmental changes. In the specific operations in the warehouse, robots can complete tasks from barcode scanning and recognition after unloading, allocating storage locations, to picking, packing, boxing, inventory, and even sorting of flexible objects. It is foreseeable that in the future, the warehousing system will no longer be composed of single - point equipment, but an intelligent network with autonomous integration of multiple processes.
In addition to directly participating in production and logistics, robots are also undertaking some "supporting tasks", such as production line inspection and industrial wastewater detection. In some segmented industries, robots often appear in customized solutions that closely fit the production process. For example, in the light manufacturing fields such as embroidery, a complete set of automated solutions can be constructed from automatic bobbin thread replacement, intelligent winding to automatic cloth clamping.
Although there are such rich scenarios in the industrial environment, it is still very difficult to implement them in practice. Each scenario has huge differences, and it is necessary to align the complex real - world environment with robot solutions. In addition, the efficiency and stability of operation need to be ensured to achieve commercial efficiency.
The demand for robots in the industry is also changing. In the past, speed and accuracy were emphasized more, but now, enterprises are beginning to pay more attention to whether robots can complete tasks autonomously and whether they have the ability to migrate and adapt in different scenarios.
02
Service Industry: More Dispersed, More Active
The scenarios where robots are put into use in the service industry are more dispersed than those in the industrial sector and are closer to everyone's daily perception.
In the retail scenario, robots undertake functions such as greeting customers, guiding shopping, explaining products, and organizing shelves. They can also make real - time recommendations based on user behavior data, forming a sales method similar to the "interest - based recommendation" in e - commerce.
In the catering and hotel industries, the application of robots has covered aspects such as guiding guests, taking orders, cooking, plating, making coffee and other beverages, cleaning the kitchen, and delivering to guest rooms. They not only undertake routine tasks but also add a novel experience for users through interaction capabilities.
The cultural and entertainment scenario is one of the most active areas for robot implementation. Robots often appear on the stage and in cultural and tourism scenarios to perform dances, interactive shows, or guided tours. In recent years, their application forms have further expanded to areas such as film and television performances and game interactions. For example, robotic dogs participate in real - life CS battles. The field of sports training is also being explored: applications in tennis, table tennis, and running require high perception, decision - making, and dynamic response capabilities, and most are still in the early stage.
The family scenario is the area where the most expectations are placed on robots, and it is also the area with the largest gap between reality and imagination. From the demonstration videos, the scope of capabilities is quite impressive: floor cleaning, surface wiping, laundry storage, folding clothes, cooking, washing dishes, garbage sorting, gardening operations, and even window cleaning by flying robots. However, currently, consumer - grade products mainly meet basic needs such as companionship (including pet companionship), entertainment, and carrying objects. The bottlenecks lie not only in the multi - task generalization ability but also in the real - world constraints of price, safety, and privacy.
Extending from the family to the building and property management scenarios, cleaning robots, inspection robots, and even customer service robots all have the opportunity to form a more continuous and stable service system in a highly standardized environment.
Elderly care and companionship is a scenario that requires higher capabilities from robots. In addition to interaction capabilities and the ability to handle complex scenarios, since it involves long - term interaction with the elderly or patients, it needs to meet stricter standards in terms of safety, reliability, and compliance.
Specifically, elderly care robots can undertake daily assistance tasks such as serving tea and water, feeding, reminding to take medicine, turning over, and nursing for bowel and bladder care; simple physical therapy and massage; walking assistance and fall detection; and providing emotional companionship through chatting, playing chess, etc. These tasks require robots to meet standards far higher than those in ordinary scenarios in terms of safety, reliability, and compliance because they are dealing with the most vulnerable and trust - dependent group.
03
Medical: Early Stage of the Industry, Partially Mature
The main application scenarios of robots in the medical field include surgery, rehabilitation, nursing, and auxiliary diagnosis.
Surgical robots are a relatively mature form. Doctors sit in front of the console and issue instructions through the operation handle. The robot can then transform the actions into more precise instrument movements. The application scope covers laparoscopic surgeries in urology, gynecology, general surgery, etc., as well as surgeries in orthopedics, oral cavity, ophthalmology, vascular intervention, etc., and supports remote surgeries. This collaborative method greatly improves the operation accuracy and stability, especially suitable for surgeries that require long - term high - concentration.
Rehabilitation robots can obtain patient data by configuring various sensors and optimize rehabilitation programs. After being combined with brain - computer interfaces, patients' movement intentions can directly drive exoskeletons or electrical stimulation to achieve active rehabilitation. Diet nursing robots can assist disabled patients in eating; four - legged emergency transfer robots can carry stretcher - borne patients for rapid transfer and automatically perform first - aid operations during movement; micro - in - body robots have been applied in the diagnosis of gastrointestinal diseases and are expected to be applied in drug delivery and disease treatment in the future.
Robots can also be integrated into the daily processes of hospitals, including logistics robots transporting specimens or drugs within the hospital, intelligent medical waste robots handling waste disposal and disinfection, and medical disinfection robots autonomously patrolling and disinfecting within the hospital area.
Robots are expected to make up for the shortage of high - quality doctors, nursing staff, and rehabilitation therapists, and accumulate data on surgical paths and rehabilitation actions, promoting data - driven medicine to gradually become a reality. However, the high R & D and upfront costs, long approval cycle, and strict qualification standards make the commercialization process of this field destined to require patience.
04
Agriculture: High Cost, High Threshold
As the demand for high - quality and refined operation in agriculture is increasing, it provides an opportunity for robots to be applied in agriculture. Robots can not only improve the efficiency of agricultural production but also reduce the operation and labor costs to a certain extent, providing support for the stable supply of high - quality agricultural products.
In the planting industry, robots have gradually covered tasks such as plowing, sowing, fertilizing and spraying pesticides, picking and defoliating, cross - pollination, weeding, as well as fruit transportation and greenhouse handling. Flying robots or wheeled robots can patrol the fields, detect pests and diseases through visual recognition, and achieve early intervention. In the grain storage stage, they can also be used for tasks such as inspection, leveling, and sampling, improving management efficiency and accuracy.
In the livestock farming scenario, especially in large - scale farming, robots can significantly reduce the labor input in daily tasks such as livestock feeding and milking, and can also complete tasks such as daily inspection and cleaning and disinfection. For aquaculture, underwater robots can be used for net cage inspection, monitoring the state of fish schools and the underwater environment, and achieving automatic feeding.
Although agricultural robots can help spread the cost in the long - term operation, the initial investment is relatively high, and there are certain learning and usage thresholds, which to some extent restrict their large - scale popularization. However, in the long run, with the improvement of the scale of agriculture and the change of the labor structure, agricultural robots with continuous operation ability and data - driven ability still have clear development space and application opportunities.
05
Education and Scientific Research: Far - reaching Impact, Heavier Pressure
In the teaching scenario, robots can act as knowledge explainers, undertake the roles of oral language training partners and programming enlightenment, and integrate game mechanisms into the learning process. In the classroom, they can assist in correcting homework or participate in teaching and interaction in different roles. For example, teachers can summon Newton to explain the law of universal gravitation. In addition, robots that support social - emotional learning are also attracting more and more attention in early education and special - needs classrooms.
In the scientific research field (non - algorithm - verification - type scientific research), robots mainly undertake highly repetitive and highly standardized experimental operations, such as pipetting, cell culture, and reagent weighing. Robots can not only reduce the risk of human - induced pollution and misoperation but also make high - throughput experiments possible, thereby accelerating the process of material and drug screening. Robots can also handle toxic or flammable reagents under unattended conditions, reducing safety hazards. Currently, there are fully automated laboratories led by robots that can cover the entire process of experimental operation, data collection, and result analysis.
The more far - reaching impact comes from the extension of scientific research in extreme environments: deep - sea biological exploration, seabed mapping, polar sample analysis, and even space operations, space station services, space debris cleaning, and space exploration. Robots extend human perception and operation capabilities to places that are difficult to reach.
With the rapid development of AI for Science, the way of scientific discovery is gradually changing: the experimental design is generated by AI, the robots are responsible for execution, and the result data is then fed back to the model for optimization, forming a closed - loop. The promotion of this process can accelerate the experimental process, but at the same time, it is also accompanied by certain risks. The high dependence on data means that once there is a deviation in the data, the system may continuously strengthen the wrong direction. In addition, the black - box nature of the experimental process may also weaken the researchers' understanding of the intermediate mechanism.
06
Transportation: Reliability and Safety Verification
Autonomous driving cars are regarded by some as the precursor of embodied intelligence, and some classify them as one of the forms of embodied intelligence. In essence, it is a mobile robot system with perception, decision - making, and execution capabilities. In addition, various robots with autonomous movement capabilities also belong to this category.
Low - speed unmanned delivery vehicles drive on campus roads, urban branch roads, and non - motorized lanes; outdoor delivery robots mainly travel in pedestrian scenarios such as sidewalks, residential areas, and commercial streets, solving the last few hundred meters problem of takeaways and express deliveries. Automatic parking robots support the vehicle tires from the bottom or the periphery to complete unmanned parking and car retrieval.
Some cities have tried to use humanoid robots for traffic management. For example, the robot traffic police in Shenzhen can already perform functions such as traffic control, persuasion of uncivilized behavior, and safety publicity.
In the long run, mobile robots may reconstruct the current travel and logistics models and become a new type of infrastructure. However, for these robots to drive on the road, there are still reliability problems. Although the experience of autonomous driving can be reused, in the face of a more unstructured road environment, the pedestrian obstacle - avoidance logic and safe parking strategies need to be redesigned.
07
Construction: Dangerous Environment, High Generalization Requirements
The construction industry, which has long relied on manual labor, has a relatively low degree of automation. However, with the change of the labor structure and the improvement of safety requirements, robots are gradually entering the construction and maintenance processes: bricklaying, drilling, steel bar binding, concrete and paint spraying; structural crack detection, high - altitude and narrow - space inspection; and special demolition robots, which allow people to remotely demolish buildings in the form of crushing and cutting, making less noise and dust compared with traditional demolition methods.
The problem with robots entering the construction scenario is that the construction site environment is highly unstructured and somewhat dangerous, and there are also large differences between different projects, which puts forward high requirements for the generalization ability of robots. Moreover, if robots are to be purchased, the return - on - investment cycle is uncertain. Perhaps more possibilities will emerge after robot leasing covers this field in the future.
Extending to the urban scenario, robots are expected to gradually evolve into service - type infrastructure to support urban operation. In urban basic services, robots can undertake tasks such as public area cleaning, garbage sorting and recycling assistance, and patrol. The urban underground system also needs the maintenance of robots, including sewer inspection and cleaning, cable well and communication well inspection, and underground space structure detection.
Tunnel construction robots may be used in the construction process of infrastructure such as bridges and tunnels. During the daily operation of bridges and tunnels, inspection robots can also complete automatic detection. These tasks have strong regularity and a high degree of environmental standardization, making them scenarios where robots can more easily achieve stable operation.
In scenarios such as security patrol, fire rescue, and earthquake search and rescue, robots play the role of "taking the lead in the face of risks" instead of humans. The stability of four - legged robots in complex terrains and the continuous working ability of unmanned equipment in high - temperature and toxic environments make them key tools in these scenarios.
Whether it is a fire, explosion, earthquake, chemical leakage, or nuclear radiation accident, robots can enter the dangerous area to detect the environment before humans and can also perform specific operations to assist in personnel rescue.
08
Energy: Good Scenario but Demanding Requirements
Since energy itself contains huge energy, its related scenarios are often accompanied by danger. Whether it is a nuclear power plant, an oil and gas platform, a mine, or a natural gas pipeline, they are generally accompanied by risk factors such as high temperature, high pressure, and flammability and explosiveness, which are suitable for robots to replace humans.
In the power system, robots are promoting the evolution of substations towards unmanned operation, and can complete tasks such as meter reading, appearance inspection, infrared thermal imaging, and gas leakage detection. In the new energy field, robots can undertake tasks from equipment installation in photovoltaic power plants to the cleaning and maintenance of wind turbines and photovoltaic panels.
The hulls that transport crude oil or chemicals are in a corrosive environment for a long time. Spraying or wall - climbing robots can be used for coating operations inside and outside the hull; pipeline robots can penetrate into the long - distance oil and gas transportation network to monitor corrosion and leakage. Nuclear power plants, due to their high - risk nature, are natural places for robot applications. Drilling, crushing, transportation, and inspection in mines, as well as routine inspections during the operation of oil and gas platforms and transportation, are also within the scope of robot applications.
The ocean is a major scenario for energy development. Whether it is the exploration of seabed mineral resources, the inspection and maintenance of seabed oil and gas pipelines