Analysis of present situation and Future trend of floor sweeping Robot
The demand of service robots has exceeded that of industrial robots, showing stronger market demand and providing wider market imagination.
Service robots can meet some practical needs of people in daily life, and most of the market pricing in the range of several hundred yuan to several thousand yuan, in recent years, its market scale has achieved explosive growth. Global service robots sold 3.3 million units in 2014, or about $1.2 billion, up 24 percent from a year earlier, according to IFR. Sales of service robots are expected to rise sharply between 2015 and 2018, with cumulative sales of 25.9 million units and sales of $12.2 billion. At the same time, according to the forecast of relevant research units in China, Chinese service machines The size of the people market is expected to exceed 20 billion yuan in 2017.
Development of floor sweeping Robot
With the progress of science and technology and the development of society, especially affected by the quickening of life rhythm and the increasing of work pressure, people hope to get rid of the tedious household cleaning work more. This is undoubtedly a clean robot into the home market demand.
As a kind of cleaning robot, the floor sweeping robot is aimed at all families, and its demand pain point is precisely for freeing people from the daily floor cleaning work, which caters to the needs of market pain points. The earliest floor-sweeping robots came from the vacuum cleaners industry led by Alex and Dyson.
In 2002, on the basis of high quality vacuum cleaner, Electrolux developed the "Trilobite" floor sweeping robot, the world's first fully automatic floor sweeping robot. IRobot has since produced seven generations of Roomba, a representative product line in the field.
Around 2010, the domestic floor-sweeping robot brands have emerged, and gradually realize industrialization. At present, the domestic market has dozens of floor sweeping robot brands, such as Covos iRobott, Fomat, Dibai Xrobot, Haier, Midea Prosenic, Philips and Samsung, and so on. However, the proportion of floor sweeping robots with core R & D capability is not high.
In recent years, the sweeping robots are being popularized at an amazing speed, and the market is developing very rapidly. In the early stage of development, the sweeping robots are mainly to improve the cleaning efficiency. At this stage, when the cleaning robot is guaranteed to provide better cleaning effect, it is bound to turn to the intelligent core technology, such as multi sensor fusion, navigation, path planning and so on. In the direction of the exhibition.
Key Technologies of floor sweeping Robot
The basic functions of the sweeping robot can be seen directly by the user, such as cleaning, dusting, mopping, etc. Therefore, the related enterprises in cleaning brush materials, structure, rotation speed / mode, as well as the principle of dust cleaning, dust cleaning mechanism form, mop material, etc. Mop layout, water supply, water supply and other basic functional principles and technical aspects of continuous optimization. At the same time, in order to achieve better cleaning effect and better user experience, the floor sweeping robot involves the following key technologies in the field of artificial intelligence.
Multi-sensor Information Fusion Technology
Multi-sensor information fusion refers to the synthesis of perceptual data from multiple sensors in order to produce more reliable, more accurate or more comprehensive robot state information, such as fusion of lidar, ultrasonic sensor, infrared sensor in floor sweeping robot. Information about a mileage, etc. The basic principle of multi-sensor information fusion is similar to the process of processing information in the human brain, and it can be reasonably analyzed and used through the feedback information of a variety of sensors. It can reduce the influence of single sensor in space and time limitation, and through the analysis of redundant information, it can better and more accurately reflect the characteristics of detection object and eliminate the information. The uncertainty of information gives a consistent result that the observation environment is more feasible.
Indoor Navigation and Positioning Technology
Floor sweeping robot needs to move on its own. Whether it is local real-time obstacle avoidance or global planning, it is necessary to determine the current status and position of robot or obstacle accurately to complete the tasks of navigation, obstacle avoidance and path planning. Generally speaking, the robot realizes the navigation and localization of indoor mobile robot by the methods of reckoning, beacon positioning and hybrid positioning.
The dead-reckoning method is the most commonly used method, which can calculate the velocity and attitude information of the robot in real time through the internal sensors such as the robot's own odometer, gyroscope, accelerometer and so on. Taking the starting point as the absolute zero point, the current position and attitude of the robot can be calculated gradually and gradually. With the increase of working time, the error caused by integral operation error and time difference of timing system will accumulate gradually, so it is not suitable for accurate positioning for a long time.
The movement of a floor sweeping robot on the indoor floor can be regarded as a movement in a two-dimensional plane, and if a beacon is allowed to be arranged in the room (such as charging piles or other markers that meet the beacon condition), it can be passed through the sensor, The relative distance and pose between robot and beacon are detected to realize indoor navigation and positioning of floor sweeping robot. The advantages of beacon localization are that it can be detected in real time, has no accumulated errors, has good accuracy and stability, and can be calibrated to each other by redundant cover of multiple beacons, or the robot can still be located successfully when a beacon fails.
The hybrid location method combines the advantages of dead reckoning and beacon location.
Path planning algorithm
In the working process of the floor sweeping robot, it is necessary to cover as much area as possible and the walking path does not overlap, which requires the optimal path planning based on some or some optimization criteria. Finding an optimal path from initial state to target state in its workspace can avoid obstacles.
According to the degree of understanding of environmental information, we can divide path planning into global path planning based on known maps and local path planning based on sensor information. From the point of view of whether the obstacle information is static or dynamic, global path planning belongs to static planning (off-line planning) and local path planning to dynamic programming (online planning).
The global path planning needs to build a detailed map of the workspace and plan the path according to the environmental information contained in the map, while the local path planning is based on the surrounding environment information collected by the sensor in real time. The location of the location map and the distribution of local obstacles can be determined, and the optimal path from the current node to the adjacent sub-target node can be selected.
The common path planning algorithms mainly include the artificial potential field algorithm, the Dijkstra algorithm, the Bellman_Ford algorithm (Bellman_Ford improved algorithm), the graph theory shortest algorithm, the genetic algorithm, the cellular automata algorithm, the immune algorithm, the Tabu search algorithm, the graph theory shortest algorithm, the genetic algorithm, the cellular automata algorithm, the immune algorithm and the Tabu search algorithm. Simulated annealing algorithm, artificial neural network algorithm, ant colony algorithm, particle swarm optimization, etc.
Development trend of floor sweeping Robot Technology
Fusion Application of High performance Sensor with High performance and Price ratio
At present, infrared sensor, contact sensor, ultrasonic sensor and so on are used in floor sweeping robot. A few high-end machines use linear scanning laser radar sensor. For intelligent indoor positioning and complex path planning of floor sweeping robots, the information provided by sensors is still insufficient.
In the future, vision sensors (depth camera, bionic vision, structured light sensors), low-cost high-performance lidar sensors, soft anti-collision contact sensors and other high performance, new sensor applications, It will provide more abundant reference information for floor sweeping robot decision. At the same time, in the algorithm level, we need to dig the multi-sensor information fusion algorithm, extract the effective information from the complex sensor feedback information, and make the decision according to the optimization strategy rules.
Modular Integration of Home functions to realize Multi-task function of Intelligent floor sweeping Robot
On the basis of realizing the basic functions of floor sweeping, dust cleaning and towing, modular integration, such as air purification, humidification, communication and communication, indoor toys, children's tablet, etc. The realization of intelligent floor sweeping robot is a special multi-purpose. The floor sweeping robot can be platform, that is to say, it can realize the function of indoor intelligent mobile platform, which has the basic functions of obstacle avoidance, path planning, hardware and software interface, etc. The other functions are loaded in the form of modularization. Gives the user more independent choice room, realizes the subdivision market expansion.
Enhance the degree of Intelligence, expand the Application of Intelligent algorithm
With the development of speech recognition technology and image processing technology, such as sound source location and sound pattern recognition technology, face recognition technology is mature, and the performance of object recognition technology is improved. We can effectively improve the integration of floor sweeping robots into the home environment and enhance the intelligent interaction between floor sweeping robots and family members.
At the same time, we should study and design various intelligent man-machine interfaces, such as multilingual speech, natural language understanding, image and handwritten recognition, so as to better adapt to different users and different application tasks, and improve the harmony between human and robot. The realization of human-computer interaction is simple, diversified, intelligent and humanized.
Intelligent floor sweeping robot, as the largest domestic service robot in sales at present, will be able to learn language from itself and learn from others in the socialized environment in the future. It will transform this language ability into autonomous learning and problem-solving ability. In the future, the robot will master more autonomous ability and realize the essential innovation and development of intelligent floor sweeping robot.
Network Notification of floor sweeping Robot
At present, some intelligent floor sweeping robots have realized the remote control function through the network connection, some floor sweeping robots have also installed the monitoring camera to realize the remote security monitoring function. The small size and mobility of floor sweeping robot has become its unique advantage as a network terminal node. It can extend remote security, smart home, video / voice communication terminal, health assistant, accompany chat and other network node functions.
The market for floor sweeping robots is in a period of constant growth. In order to continuously improve the user experience and fit the needs of the actual function, the floor sweeping robot will evolve and upgrade continuously, will be in the fusion sensor system, function location, intelligence, network service, With the continuous development of multi-machine cooperation and self-learning, the real meaning of floor sweeping robot is intelligent, which makes the floor sweeping robot become a high-tech partner of people.