3C electronic factories typically have complex production lines and warehouses, with large workshop areas and scattered distribution of production parts. This complexity makes traditional manual handling prone to errors, leading to damaged or lost items. Moreover, 3C electronic products come in a variety of types, and some are sensitive to electrostatic discharge and dust, requiring special handling. Manual handling is not suitable for such scenarios. Furthermore, the efficiency of production lines is constrained by the speed and accuracy of manual handling, impacting production capacity and delivery schedules. Additionally, repetitive labor and high-intensity work can result in employee health issues and high turnover rates.
Implementation Challenges:
The introduction of material handling robots in 3C electronic factories involves the following challenges:
Site Planning: It requires a rational layout planning of the factory to ensure that robots can move smoothly and complete tasks.
Level of Automation: Achieving a high level of automation for robots, including autonomous navigation, task scheduling, and anomaly handling. In complex production line and warehouse environments, robots need to possess intelligent perception and obstacle avoidance capabilities to ensure safe operation.
Integration with Existing Systems: Seamless integration of materialhandling robots with existing production systems and equipment is essential to achieve real-time updates of logistics information and optimize scheduling, ensuring coordinated operations.
Solutions：
Task Assignment: The production system assigns handling tasks to robots based on production plans and logistics requirements.
Autonomous Navigation: Robots autonomously plan optimal paths within the factory using navigation technologies like lasers and vision, depending on task requirements.
Handling Actions: Robots use mechanical arms and other devices to complete the handling tasks.
Anomaly Handling: In the event of obstacles or other anomalies, robots can sense and take appropriate actions, such as navigating around obstacles or requesting assistance, through sensors.
Task Completion Reporting: After completing tasks, robots submit task completion reports to the system for updating task status and data analysis.
Highlights of the Solution：
Improved Efficiency: Automated materialhandling significantly enhances production efficiency by reducing handling time and optimizing production processes.
Cost Reduction: Reduced human resource input lowers labor costs and minimizes errors and losses caused by human operations.
Flexibility: Robots can flexibly adjust work tasks and optimize paths according to production plans, adapting to varying production demands.
Safety: The solution reduces safety hazards associated with manual handling, ensuring employee health and safety.
Data-Driven Management: Robots can record and upload data during the handling process, helping manufacturers with data analysis and process optimization.
The development of the new energy industry has driven an increase in demand for logistics and material handling. However, compared to traditional logistics and material handling, new energy logistics and material handling face some challenges. To address these issues, the application of robots has become an innovative solution. This article will explore the pain points in the scenarios of new energy logistics and material handling where robots are involved and propose corresponding solutions and highlights.
Pain points in the scenario:
Heavy Object Handling: Logistics and material handlingin the new energy industry often involve heavy objects, placing high demands on manual handling, which may pose potential safety risks and involve high labor intensity.
High-Quality Requirements: New energy products have high requirements for logistics and material handling, necessitating the assurance of item integrity and quality. However, manual handling may lead to issues such as improper handling and vibration damage.
Implementation Challenges
Adaptation to Complex Environments: New energy logistics and material handling environments are complex and ever-changing, involving items of different shapes, sizes, and weights. Robots need to have the ability to adapt to these diverse environments.
Technical Challenges: Robots require high-precision positioning, gripping, and handling capabilities, as well as the ability to perceive and avoid obstacles. This places high demands on the technical capabilities of the robots.
Cost Investment: Introducing robot handling systems requires investments in equipment procurement, system integration, and training, which may put financial pressure on businesses.
Solutions:
Automated Material Handling Robots: Introducing automated material handling robots can achieve efficient logistics and material handling. These robots have strong carrying capacities and precise positioning systems, allowing them to accurately handle and place heavy objects.
Intelligent Perception and Avoidance Systems: Robots are equipped with intelligent perception technology that can recognize obstacles, personnel, and other objects, thus avoiding collisions and enhancing the safety of handling operations.
Data Tracking and Management Systems: Data generated during the robot handling process can be recorded and analyzed through tracking and management systems. This enables monitoring of item status and quality, timely issue detection, and corrective actions.
Highlights of the Solution:
Enhanced Safety: Robot handling solutions reduce the risks associated with manual handling, decreasing the occurrence of accidents and providing a safer working environment for employees.
Improved Efficiency: The application of automation robots can enhance the efficiency and accuracy of logistics and material handling, reducing handling time and error rates, thus improving overall work efficiency.
Quality Assurance: Robot handling solutions reduce the uncertainty associated with manual operations, ensuring item integrity and quality. This, in turn, enhances customer satisfaction and brand reputation.
In the manufacturing industry, logistics often encounters several pain points. The transportation of raw materials, components, and finished products on production lines requires a high degree of accuracy and efficiency. However, traditional manual logistics management has the following pain points:
High Labor Costs: A significant amount of manpower is required for material handling, packaging, and warehouse operations, increasing labor costs.
Human Errors: Manual operations are prone to errors, such as shipping mistakes, improper packaging, leading to production line downtime and quality issues.
Complex Processes: Logistics processes are intricate, involving multiple coordination steps, making it susceptible to time delays and communication breakdowns.
Resource Waste: Improper material storage may result in space wastage and tied-up capital.
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Implementation Challenges:
When introducing logistics robots to address these pain points, there are also implementation challenges to consider:
Technical Integration: Seamless integration of logistics robots with existing production equipment, information systems, and other components is required to ensure smooth collaboration.
Safety Concerns: Logistics robots need to operate in environments with dense human presence, making safety a crucial consideration to prevent accidental contact between robots and personnel.
Adaptation to Complex Environments: Manufacturing environments are complex and variable, requiring robots to have the capability to adapt to different terrains, temperatures, humidity levels, and other conditions.
Training and Acceptance: Introducing robots may necessitate training for employees and may lead to resistance to automation among some staff members.
Solutions：
To address logistics issues in the manufacturing industry, the introduction of logistics robots can employ the following solutions:
Automated Material Handling: Logistics robots can autonomously transport raw materials and finished products on production lines, reducing labor costs and improving transport efficiency.
Smart Packaging: Robots can automatically package products based on their characteristics, ensuring packaging quality and minimizing waste.
Real-Time Monitoring: Introducing logistics robots enables real-time monitoring of logistics processes, reducing human errors and time delays.
Intelligent Warehousing: Robots can optimize warehouse space utilization, enhance warehouse management efficiency, and reduce capital tie-up.
Path Planning: Logistics robots can perform intelligent path planning based on site conditions and material requirements, avoiding collisions and blockages.
Highlights of the Solution：
Introducing logistics robots into the manufacturing industry offers numerous benefits:
Increased Efficiency: Robots can work around the clock, improving the efficiency of logistics transportation and reducing downtime.
Cost Reduction: Automation of handling and packaging tasks can reduce labor costs and enhance production line efficiency.
Precision Operations: Robots execute tasks with precision, reducing human errors and improving product quality and accuracy.
Data Analysis: Logistics robots can collect vast amounts of data, facilitating the optimization of logistics processes and decision-making.
Employee Assistance: Robots can assist employees with repetitive tasks, freeing up employees for creative and high-value work.
The comprehensive solution for intelligent hospital logistics centers around the AMR (Autonomous Mobile Robot), equipped with an intelligent scheduling system and a digital twin management system. This forms an efficient logistics system within the hospital’s application ecosystem. Leveraging industry-leading technology, outstanding quality, and performance, this solution covers critical areas such as operating rooms, disinfection supply centers, pharmacies, sterile compounding centers, wards, laboratories, and storage facilities. It addresses the challenge of transporting large quantities of supplies during peak periods within the hospital, creating an AMR-powered intelligent logistics system across all hospital scenarios. This makes the circulation of hospital supplies more efficient, flexible, and intelligent. There is no need for structural modifications or additional signage. This solution improves the efficiency of supply distribution within the hospital, enables precise supply management, reduces healthcare costs, and enhances the hospital’s brand image.
The Value of Robot Logistics Transport:
24/7 Delivery: Provides hospitals with round-the-clock delivery, saving transportation time and improving efficiency.
Reduced Workload: Decreases the workload of medical and nursing staff, enhancing job satisfaction.
Improved Service Quality: Reduces non-direct patient care time, enhancing the quality of healthcare services.
Medication Supply: Meets the routine and ad-hoc medication needs of patients.
Error Reduction: Offers features such as data statistics, electronic signatures, and barcode verification, effectively reducing the risk of human errors.
Separate Transport: Segregates clean and contaminated supplies, effectively reducing the risk of cross-contamination or disease transmission.
Cost-Effective: Has low setup costs, suitable for both new and existing hospitals with gradual investment.
Increased Automation: Elevates the hospital’s level of automation and intelligence, enhancing its brand and competitiveness.
The intra-hospital infection control is carried out through the use of robots, which integrate three disinfection methods: ultraviolet (UV) light, ultra-dry hydrogen peroxide mist, and air filtration. These robots are equipped with autonomous navigation technology and are capable of autonomous movement. They can be configured to operate in different disinfection modes according to specific scenarios, ensuring fully automated and intelligent operation while maintaining a safe separation between humans and the robot. This system meets the requirements for automatic, scheduled, efficient, and precise disinfection and epidemic prevention in indoor environments with multiple rooms or complex layouts. It caters to various disinfection scenarios in hospitals and serves as an excellent choice for promoting modernization and enhancing infection control management in healthcare facilities.
Highlights of the Solution：
Intelligent Multi-Function Disinfection
The intelligent disinfection robot integrates multiple disinfection methods and quantifies the disinfection process, thereby enhancing the prevention and control of infections within the hospital. It reduces medical disputes and ensures patient safety.
Ensuring Medical Safety
The intelligent disinfection robot can automatically calculate the disinfection time based on the spatial area and perform 360° no-dead-angle disinfection around the target area. With fully intelligent operation and separation between humans and the robot, it guarantees the safety of personnel. This, in turn, ensures medical quality and enhances healthcare standards.
Convenient and Traceable Operations
For routine disinfection tasks, settings such as disinfection mode, time, and location can be configured through the backend system. Once the robot receives a task, it autonomously plans its route to the specified location and carries out disinfection according to the set mode. Upon completion of the disinfection task, the robot autonomously returns to its charging point.
Data Integration and Sharing:
The data center backend facilitates information exchange between various departments, improving the efficiency of infection control information sharing. Data analysis can uncover weak links in infection control, aiding in continuous improvement of infection control strategies and processes.
Hospital intelligent guidance is a robotic-driven system that utilizes medical AI and natural language processing technologies. It features autonomous navigation capabilities and can provide intelligent guidance, interactive Q&A sessions, and health education services to patients. Intelligent triage quickly recommends specialized doctors based on patients’ complaints and symptoms, while intelligent Q&A addresses hospital-related inquiries, offering solutions to patients who may lack medical knowledge and face difficulties with in-person consultations. This system helps alleviate the mismatch of medical resources and aligns with the hospital’s smart service rating goals.
Highlights of the Solution：
Enhanced Patient Satisfaction
Intelligent guidance reduces waiting time and confusion, significantly improving the patient’s overall healthcare experience. It offers conversational guidance through AI-powered chat, intelligently recognizing patient intentions (guidance, symptom inquiry, medication queries, hospital inquiries, etc.) and providing relevant assistance. Patients can interact using both voice and text inputs, making it convenient for everyone.
Reduced Workload
The intelligent guidance system provides personalized navigation for each patient based on their specific needs and conditions. This relieves healthcare professionals from repetitive and time-consuming tasks, allowing them to focus on delivering specialized care to patients.
Elevated Hospital Image in Smart Healthcare
Intelligent guidance services cover all common departments in general hospitals and can be tailored to meet specific needs in specialized departments like dentistry or ophthalmology. This contributes to a more comprehensive and intelligent healthcare image for the hospital and accelerates the hospital’s smart healthcare initiatives.
Customized and Lightweight Integration
The solution offers a customizable integration process tailored to each hospital’s departmental divisions, functional breakdowns, and physician resource distribution. The integration process is lightweight and straightforward, requiring minimal development effort on the part of the hospital.
“Ladies and gentlemen, welcome to the exhibition hall of Changzhou Goodyear High-end Equipment Innovation Centre.” Walking into the Goodyear Innovation Centre, the enthusiastic robot interpreter came to the front. Recently, Bayes Intelligence’s BUDDY robot has been formally stationed in Changzhou Guoli High-end Equipment Innovation Centre (hereinafter referred to as “Guoli Innovation Centre”).
As an important part of Hong Kong-Soviet cooperation, the Goodyear Innovation Centre, with a total investment of RMB 500 million, makes up for the short board of Changzhou’s high-end equipment and intelligent manufacturing, and is an international innovation and entrepreneurship ecosystem project integrating innovative talent cultivation, project incubation, industrial acceleration and capital participation.
Unlike conventional exhibition halls, the Goodyear Innovation Centre hopes to take the lead in creating an innovative and contactless intelligent exhibition hall, and Bayes Intelligence provides intelligent service solutions integrating BUDDY guided tour robot, BayesBrain, a cloud-based robot middleware, and BayesOS, a robot operating system, to help it successfully create a very futuristic intelligent exhibition hall.
Explosive growth of intelligent service robot market
Thanks to the development of sensor technology, 5G technology and AI technology, a new generation of service robots with smarter, safer, easier and so on, in the current era of big data ushered in a breakthrough development. During the epidemic, service robots can be quickly “on duty”, in addition to the industry’s original technology accumulation breakthrough, but also to a certain extent to broaden and deepen the existing application scenarios.
China Robotics Industry Development Report 2019″ shows that in 2019 the global robotics market size will reach more than $29.4 billion, of which the scale of service robots is $9.46 billion. China’s service robot market is expected to reach $2.2 billion, accounting for about 23 per cent of the market share. Market research firm IDC predicts that by 2020, the global market for commercial service robots in healthcare, retail wholesale, utilities and transport will reach $17 billion, and the Chinese market has stepped into a period of rapid growth. Fuelled by the demand for commercial scenarios, service robots, as a popular branch industry product, are widely put into use in various scenarios.
In addition to the market and epidemic drive, favourable policies are also one of the important reasons why intelligent service robots have ushered in a new wave of development. After the introduction of “Made in China 2025”, the state released the “Robot Industry Development Plan (2016-2020)” and “Special Action for the Innovation and Development of Intelligent Hardware Industry (2016-2018)” in 2016, and released the “Intelligent Robotics” Key Special Project Declaration Guidelines for 2017″ in 2017, further providing a new impetus for the development of intelligent service robots. In 2017, it also issued the “Key Special Project Declaration Guide for “Intelligent Robotics” in 2017″, which further provided policy support for the service robot industry.
Leading Technology + Mature Solutions Empower Intelligent Showroom
Not only in the field directly related to the epidemic, the advancement of intelligent service robots in some related fields is also remarkable.
As a platform for mutual communication and understanding between many enterprises and customers today, showrooms are gradually being taken seriously. With the increasing demand for highlights in exhibition halls, the increasing work intensity and frequency of explainers, and the rising cost of employment for enterprises, the application of mature intelligent technology is expected to become an efficient solution. Bayes Robotics intelligent exhibition hall solution, on the one hand, can help business owners in the traditional exhibition hall on the basis of saving manpower costs, improve the efficiency and quality of the explanation, increase the flow of people, enhance audience satisfaction, increase the highlights of the exhibition hall; on the other hand, the visiting audience can further enhance the experience of the visit, in the access to effective cultural content and information at the same time, to further deepen the sense of identity with the pavilion side.
BUDDY guided tour robot has become the star of the showroom after it has been stationed there, and it has been attracted the attention and love of the visitors of Goodyear Innovation Centre.
BUDDY robot is a multi-scene commercial intelligent service robot that has reached the practical level, equipped with a full-stack multi-sensor fusion perception system and a self-adaptive scene semantics interaction knowledge map to meet the personalised service needs of different scenarios, and is applied in government halls, banks, supermarkets, museums, hotels, office reception and other scenarios. It can not only independently and efficiently provide a variety of services such as visitor reception, active welcoming, wayfinding, Q&A consulting, guided tours, etc., but also has the functions of face recognition, advertisement playback, data analysis, research questionnaires and so on. More importantly, it provides year-round services with professional standards.
The functional complexity of the exhibition hall and the mobility of the personnel, the robot in the work of human-machine interaction has higher requirements, in which the autonomous navigation and intelligent planning of routes and other essential functions, Bayes Robotics relies on independent research and development of limited-scenario low-speed unmanned chassis, adaptive scenario semantic interaction, complex robotics system BayesOS, cloud robotics platform BayesBrain and other leading technologies and platforms in the industry. Bayes Robotics relies on the industry’s leading technologies and platforms such as BayesOS, BayesBrain and other complex robotic systems, and uses them as a carrier for in-depth integration with vertical scenarios, which makes the BUDDY guided tour robot more comfortable in the face of the huge flow of people.
Taking the application of Goodyear Innovation Centre as an example, the BUDDY guiding robot takes the initiative to welcome and receive visitors in the lobby of the exhibition hall, navigate and guide the visitors in the exhibition hall, explain each exhibition area and exhibits, and at the same time, provide interactive functions such as business consulting and Q&A, so as to comprehensively improve the service experience of the guests and alleviate the pressure on the service personnel as well as the operation and maintenance cost of the enterprise in the exhibition hall.
Promoting the intelligent upgrade of the service industry in the new era
Bayesian Intelligence’s intelligent service solutions built around intelligent superstores, intelligent banks, intelligent medical care, intelligent museums, intelligent scenic spots, intelligent homes, intelligent front offices, intelligent libraries, intelligent campuses, intelligent public security and other scenarios have huge advantages. The monthly salary of an experienced service staff is about 6,000 yuan, and the use of this smart service solution can effectively reduce costs.
At the same time, in the epidemic crisis has not completely subsided today, intelligent service robot can provide zero-touch service, to deal with the unexpected epidemic, multi-scene applications to meet the different needs of enterprises. Bayes Robotics’ intelligent service solution also provides personalised configuration, data support and visual management, making it easy to control the overall situation while achieving differentiated competition.
With the deep excavation of personalised needs in multiple scenarios, the requirements for robot intelligence in various industries will become higher and higher, while the model of AI+robot+service+content will also be implemented in more industries and actual scenarios. Bayes Robotics will take the strategic vision of “letting high-quality robots serve thousands of households”, focusing on the research of key technology and ecological creation of service robots, handing over creative work to people and repetitive labour positions to robots, and letting the model of “human-robot collaboration” help enterprises, enterprises, and enterprises in the field of human-robot collaboration. The “human-robot collaboration” model helps enterprises and industries to reduce costs and increase efficiency, and use robot big data to improve the efficiency of the offline economy and promote the implementation of digital infrastructure.
On 16th June, Jiangsu Gaozheng Group joined hands with Bayes Medical Sterilisation Robot HINER to formally station in Changzhou Third People’s Hospital, providing 5G intelligent logistic service guarantee for the hospital. Ms Xu Junying, section chief of Changzhou Third People’s Hospital, Ms Ge Haixia, vice president of Jiangsu Gaozheng Group, and Mr Dong Chao, CEO of Jiangsu Bayes Robotics, and other leaders participated in this event.
Bayes independently developed HINER medical disinfection robot, using 6 groups of ultra-dry atomised nozzles, a one-time can carry 30L large liquid storage capacity, to achieve the market equivalent disinfection robot 5 times the amount of atomisation, 15 minutes can disinfect 1000 cubic meters. At the same time equipped with 4 groups of UVC ultraviolet germicidal lamps, in each square centimetre on the amplitude of illumination reached 200 microwatts, not only to improve the efficiency of elimination, but also on the surface of the environment of the spores and a variety of multi-drug-resistant bacteria 360-degree all-round disinfection, so that the cells can not be regenerated to eliminate secondary pollution, disinfection and sterilization rate of up to 99.99%. HINER robot is also a mobile plasma air purifier, the composite double-layer filter design, and the air purifier can be used to disinfect the air. HINER robot is also a mobile plasma air purifier with a composite double-layer filter design, which can efficiently filter PM2.5 particles in the air, further promote the work of tobacco control in hospitals, and create a healthy and good working environment for patients and hospital staff.
HINER medical disinfection robot carries Bayesian indoor unmanned core technology, which can realise the environment perception automatic obstacle avoidance navigation, and automatically return to the nest charging after the disinfection work is completed. No need for manual guarding, automatic start elimination, and no need to worry about cross-infection, for the city’s epidemic prevention and control added a bright scientific and technological landscape. The two sides reached a deep cooperation to help the city’s scientific and technological epidemic prevention and control work to promote the significance of extraordinary.
Bayes Robotics uses medical disinfection robots as a carrier to build an intelligent platform for medical logistics services. At the same time, the unmanned technology is deeply integrated with the medical scene, and is involved in the construction of intelligent medical guidance, unmanned distribution and other intelligent scenes. Not only greatly reduce the risk of infection in contact with people and people, people and things, but also enhance the management efficiency of the hospital and improve the patient’s medical experience. All-round, multi-dimensional help the construction and development of the city’s intelligent hospital.
Abstract: Huawei has worked for the “Great White” if it has the idea, Bayes how to live with itself? “Keep out of the house, keep a metre interval distance, do not pile up, do not gather”…… In the past two days, a video shot by a netizen circulated on the Internet. In the video, about one metre tall robot “Dabai” Changzhou City, a community party service centre while “wandering” while spraying disinfectant spray. During the epidemic, in order to reduce the number of people walking around, to avoid cross-infection, but also to take into account the elimination of the virus, Changzhou’s Wujin District Committee for this service centre temporarily equipped with this robot.
“This is our Wujin-made medical disinfection robot HINER. mainly used for public area disinfection, a key start to rest assured that let it work on the line.” Zhou Chengcheng, deputy secretary of the Wujin Youth League District Committee, liked this guy, he said, this robot supports disinfection liquid ultra-dry atomised spray disinfection, UVC ultraviolet disinfection and plasma air purification three disinfection modes, can be indoor surface and air disinfection of 360 ° no dead angle. The most pleasing to him is that the “big white” instead of manual, reducing the risk of cross-infection, but also reduce the work intensity of health care workers, improve the efficiency of the sealing and control of the community’s work.
In Changzhou, the mention of robots, passers-by know Bayes. This company, known as Jiangsu Bayes Robotics Co Ltd, buries its head deep into all the secrets of robotics. Since 2019, this robot manufacturer in Jiangsu has independently developed a number of industry-leading key robot technologies and platforms such as low-speed unmanned driving algorithm technology, full-domain adaptive scene semantic interaction technology, etc., and has combined AI technology with vertical scenes in depth, creating a variety of service robot solutions such as AI education, intelligent guidance, unmanned distribution, disinfection, and so on.
Also in only two years, Bayes has applied for a total of 70 patents, of which more than 30% are invention patents. Using the most core laser SLAM + VSLAM technology, the Bayes robotics can travel freely even in a crowd.
In late April this year, Bayes also made a joint appearance with Huawei at the national “4th Digital China Construction Achievement Exhibition”.
Bayes’ intelligent service robot, BUDDY, was an important part of Huawei’s City Intelligence Body, providing intelligent services to visitors at Huawei’s booth. This is a renewed co-operation following BUDDY’s role as Huawei’s invited digital interpreter for the 2020 High Tech Fair.
Visitors were able to see, touch, and speak the intelligent service robot BUDDY and experience its convenient services such as welcome and reception, guided tours, and Q&A sessions.
Unlike general “input” Q&A, BUDDY’s self-learning and linguistic summarisation ability made the visitors wonder.
In addition to questions and answers, Bayes’ technological strength is also demonstrated in BUDDY, including face recognition, data analysis, research questionnaires and other multi-scenario functions.
At present, Bayes Robotics has built the overall solution of intelligent service robots around multiple intelligent scenes, which has been applied in Changzhou Maternal and Child Health Hospital, Jiangsu Big Data Industrial Park, Changzhou No. 3 People’s Hospital, Intel Future Technology Intelligence Centre, and Goodyear High-end Innovation Centre.
Just as Bayes is “evolving”, Bayes robotics are also evolving.
Cloud-based, AI as the core, Bayes robotics in the global robotics field to go more “self”.
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