パナソニック アドバンストテクノロジー Product Lineup

"@mobi" is a software package that enables the functionality of autonomous mobile robots, reducing the development costs of such robots. It can be applied to robots of various shapes, sizes, and drive methods, achieving high-precision control both indoors and outdoors, as well as on uneven terrain. In addition to the standard specification package, we can also kit it for your transport carts. For example, by incorporating it into an Automated Guided Vehicle (AGV), you can develop an Autonomous Mobile Robot (AMR). 【Features】 ■ High customization capabilities - Kitting for customer controllers is also possible - REST API is available, allowing for the creation of unique customer applications ■ Easy operation - Automatic route generation and combined route settings with virtual lines are possible ■ Compatible with a wide variety of autonomous mobile robots - Environments: factories, indoors, outdoors, uneven terrain, etc. - Shapes: wheels, crawlers, independent two wheels, steering, etc. ■ Reliable support - Our experienced engineering team supports the realization of your systems * A renewed promotional video is currently available for free! * For more details, please access the "Related Links" below, and be sure to check it out.

This product is a 3D-LiDAR SLAM software that achieves both matching performance and lightweight, high-speed operation, even in low-feature environments. Our unique algorithm mitigates the accuracy degradation issues of conventional technologies in "high-speed driving," "vehicle slip," and "early-stage map creation." It prevents self-position loss and creates high-quality maps. This SLAM software, which has a proven track record and high environmental robustness, is also integrated into our "Autonomous Mobility Software Package @mobi," making it easy to configure autonomous mobility applications. 【Features】 - Operates using scan point clouds from LiDAR, depth cameras, etc., along with vehicle information as input. - Reduces dependency on robots and sensors, allowing integration into existing systems. - Compatible with major 2D/3D LiDARs, and can be combined with IMUs and cameras for higher accuracy, enabling sensor selection based on cost and system requirements. - Customizable according to environmental, vehicle characteristics, and use cases. - Options for 2D and 3D versions based on the applicable system. - Low dependency on OSS, with proprietary algorithms validated for lightweight operation (capable of running on embedded PC specifications). *For more details, please feel free to contact us.

@mobi is an all-in-one software package that integrates all the necessary functions for autonomous mobile robots. By combining sensors, controllers, and smartphone applications, it can be easily incorporated into existing robots to achieve autonomous movement immediately. A new version, @mobi 2.6, will be released in October 2025. It features a variety of updates focused on "ease of use in the field." Making the introduction of automated transport simpler and smarter. Please feel free to contact us.

@fleet is a management system that integrates and manages multiple @mobi operating in various locations such as factories, warehouses, and commercial facilities in real-time, achieving optimal operation for the entire fleet. All AMRs can be monitored instantly on a dashboard, allowing for safe operations that involve collision risks, such as intersection control and area entry control. Additionally, the serverless configuration reduces implementation costs and supports small-scale starts. It offers the flexibility to be implemented and expanded immediately according to the scale and purpose of the site.

In the logistics industry, automated transport systems are required to ensure efficient movement within warehouses and to address labor shortages. Particularly in environments that handle a wide variety of cargo, flexibility and safe operations are crucial. Inadequate systems can lead to decreased work efficiency and increased risk of accidents. Our '@mobi' is a software package that enables the functionality of autonomous mobile robots, addressing the challenges of automated transport in logistics settings. 【Usage Scenarios】 - Transporting goods within warehouses - Supplying parts within factories - Transporting materials outdoors 【Benefits of Implementation】 - Increased efficiency in transport operations - Reduction in labor costs - Ensured safety for workers

In the manufacturing industry, accurate following actions are required for tasks such as product transportation and parts supply. Especially as labor shortages become more severe, automating these tasks is essential for improving production efficiency. However, traditional automation systems have faced challenges such as high implementation costs and a lack of flexibility. @mobi 2.6 enables autonomous movement simply by being integrated into existing robots, contributing to the efficiency of manufacturing sites. 【Usage Scenarios】 - Parts supply on the production line - Transportation of finished products - Picking operations within warehouses 【Benefits of Implementation】 - Reduced burden on workers - Increased productivity - Cost reduction

The retail industry is facing a serious labor shortage, making the efficiency of product replenishment an urgent issue. In particular, the movement of products from the store's backroom to the sales floor requires time and effort, which can lead to lost opportunities. By utilizing autonomous mobile robots, these challenges can be addressed, and the efficiency of store operations can be improved. 【Usage Scenarios】 * Product replenishment within the store * Transportation of products from the backroom to the sales floor * Automatic replenishment linked with inventory management 【Benefits of Implementation】 * Reduction in labor costs * Shortening of work time * Decrease in lost opportunities * Improvement in customer satisfaction

In the security industry, issues such as labor shortages and the burden of patrolling during nighttime and inclement weather are significant challenges. In particular, patrolling in extensive areas or dangerous locations places a heavy burden on security personnel and carries the risk of accidents. By equipping autonomous mobile robots with '@mobi', these challenges can be addressed, enabling efficient and safe patrolling security. 【Usage Scenarios】 * Indoor patrolling in factories, warehouses, and commercial facilities * Outdoor patrolling in parking lots, parks, and outdoor facilities * Patrolling during nighttime and inclement weather 【Benefits of Implementation】 * Achieving 24/7 patrolling security * Reducing labor costs * Ensuring the safety of security personnel in dangerous locations * Improving efficiency through optimized patrolling routes

The food service industry is facing a serious labor shortage, and improving the efficiency of serving operations has become an urgent issue. In particular, handling orders during peak times and the rising labor costs are significant factors putting pressure on store operations. By utilizing autonomous mobile robots, it is possible to automate serving tasks, reduce labor costs, improve operational efficiency, and enhance customer satisfaction. 【Usage Scenarios】 - Serving in restaurants and cafes - Room service in hotels and inns - Transporting ordered items in food courts 【Benefits of Implementation】 - Reduction in labor costs - Improved operational efficiency - Increased customer satisfaction - Reduced burden on employees

On university campuses, efficient means of transportation are required for the delivery of on-campus mail and equipment. In particular, there are challenges such as the wide range of movement within the campus, congestion during certain times, and a shortage of manpower. The introduction of autonomous mobile robots addresses these challenges and contributes to the efficiency and labor-saving of delivery operations. @mobi supports various shapes and sizes of robots, achieving high-precision autonomous movement within the campus. 【Use Cases】 - Delivery of on-campus mail - Transportation of experimental equipment and supplies - Movement of library materials - Service provision to students and faculty 【Effects of Implementation】 - Reduction in delivery time - Decrease in labor costs - Improvement in operational efficiency - Enhancement of service quality

In the warehouse industry, there is a demand for efficiency and accuracy in inventory management. In particular, labor shortages and increased burdens on workers are significant challenges. By utilizing autonomous mobile robots, it is possible to address these issues and improve operational efficiency. @mobi reduces the development costs of autonomous mobile robots and enables smooth movement and accurate positioning within the warehouse. 【Use Cases】 - Automatic transportation of products within the warehouse - Automatic picking of inventory - Streamlining of inventory counting tasks 【Benefits of Implementation】 - Reduction in work time - Decrease in labor costs - Improvement in inventory management accuracy

In the hotel industry, labor shortages and the improvement of customer service quality are significant challenges. In particular, efficient room service is required for tasks such as replenishing amenities and supplies in guest rooms and providing room service. It is important to streamline these operations to enhance customer satisfaction and reduce employee burden. Our '@mobi' utilizes autonomous mobile robots to address these challenges and support hotel operations. 【Usage Scenarios】 - Automatic transportation of amenities and supplies to guest rooms - Provision of room service - Moving to guest rooms after cleaning 【Benefits of Implementation】 - Reduction in labor costs - Significant improvement in operational efficiency - Increase in customer satisfaction

In the logistics industry, transportation operations face challenges such as labor shortages and the need for improved work efficiency. In particular, accurate and rapid transportation is required for moving goods within warehouses and supplying parts within factories. Autonomous mobile robots can address these challenges and contribute to operational efficiency. @mobi 2.6 enables autonomous movement simply by being integrated into existing robots, supporting the efficiency of logistics sites. 【Usage Scenarios】 - Product transportation within warehouses - Parts supply within factories - Sorting operations at distribution centers 【Benefits of Implementation】 - Reduction in labor costs through automation of transportation operations - Increased productivity due to shortened work hours - Reduced accident risks through improved safety

In the manufacturing industry, accurate following actions are required for tasks such as product transportation and parts supply. Especially as labor shortages become more severe, automating these tasks is essential for improving production efficiency. However, traditional automation systems have faced challenges such as high implementation costs and lack of flexibility. @mobi 2.6 achieves autonomous movement simply by being integrated into existing robots, contributing to the efficiency of manufacturing sites. 【Usage Scenarios】 - Parts supply on the production line - Transportation of finished products - Movement to inspection processes 【Benefits of Implementation】 - Reduction in work time - Decrease in labor costs - Increase in productivity

In the agricultural sector, labor shortages and the need for increased efficiency are significant challenges. In particular, harvesting is heavily influenced by weather conditions and is physically demanding, leading to a growing demand for automation. @mobi 2.6 contributes to the efficiency of harvesting operations by being mounted on autonomous mobile robots. 【Usage Scenarios】 - Transporting harvested goods - Moving within the fields - Coordination among multiple robots 【Benefits of Implementation】 - Reduction in work time - Decrease in labor costs - Alleviation of work burden

In the retail industry, accurate inventory management and efficient product replenishment are essential. In particular, labor shortages and delays in operations can lead to lost opportunities and decreased customer satisfaction. Autonomous mobile robots equipped with @mobi 2.6 address these challenges. 【Use Cases】 - Product transportation within warehouses - Inventory checks in stores - Automation of inventory counting tasks 【Benefits of Implementation】 - Improved accuracy in inventory management - Reduced working hours - Lower labor costs

In medical institutions, thorough disinfection work is required to reduce the risk of hospital-acquired infections. Particularly, as the labor shortage becomes more severe, improving the efficiency of disinfection work is an important issue. Autonomous mobile robots can reduce infection risks and improve operational efficiency by disinfecting specific areas without human intervention. @mobi 2.6 was developed to address this challenge. 【Usage Scenarios】 - Disinfection of patient rooms, operating rooms, and examination rooms - Disinfection of shared spaces such as corridors and waiting rooms - Disinfection during times with fewer people, such as at night or early in the morning 【Effects of Implementation】 - Reduction in labor costs due to improved efficiency of disinfection work - Ensuring safety for patients and staff by reducing infection risks - Standardization of the quality of disinfection work - Alleviation of the burden of cleaning tasks

In experiments involving autonomous mobile robots in research fields, flexible environmental adaptability and software capable of meeting diverse experimental needs are required. Particularly in environments where LiDAR is difficult to reach and in experiments coordinating multiple robots, stable autonomous movement and advanced control functions are crucial. @mobi 2.6 addresses these challenges and strongly supports research and development. 【Application Scenarios】 - Research and development of autonomous mobile robots - Research on SLAM technology, path planning, behavior control, etc. - Experiments on cooperative actions of multiple robots - Outdoor experiments utilizing GNSS - Autonomous movement experiments in diverse environments 【Benefits of Implementation】 - Increased efficiency and accuracy of experiments - Shortened research and development periods - Ability to meet diverse experimental needs - Maximization of research outcomes

In the security industry, the shortage of personnel and the burden of patrol duties during nighttime and adverse weather conditions are significant challenges. In particular, patrolling extensive areas or dangerous locations requires a balance between ensuring personnel safety and performing duties efficiently. The @mobi 2.6 addresses these issues by being equipped on autonomous mobile robots. 【Usage Scenarios】 - Patrolling within facilities, parking lots, and outdoors - Patrolling during nighttime or adverse weather conditions - Patrolling in hazardous areas 【Benefits of Implementation】 - Increased efficiency and reduced manpower in patrol duties - Stable patrolling 24/7, 365 days a year - Reduced personnel risk in hazardous areas

In the cleaning industry, labor shortages and the need for work efficiency are significant challenges. Especially in cleaning large spaces or areas with complex structures, it requires considerable time and effort, making efficient cleaning methods essential. The @mobi 2.6, when equipped on autonomous mobile robots, achieves the automation of cleaning tasks and addresses these challenges. 【Usage Scenarios】 - Cleaning in various locations such as office buildings, commercial facilities, factories, and warehouses - Coordinated cleaning with multiple robots - Cleaning in areas where LiDAR has difficulty reaching 【Benefits of Implementation】 - Reduction in cleaning time - Decrease in labor costs - Improvement in cleaning quality

In the warehouse industry, improving the efficiency of picking operations and reducing labor costs have become important challenges. There is a demand for addressing labor shortages, increasing the burden on workers, and reducing errors. @mobi 2.6 supports the automation of picking operations by being equipped with autonomous mobile robots. 【Usage Scenarios】 - Product transportation within the warehouse - Automatic movement to picking stations - Integration with inventory management systems 【Benefits of Implementation】 - Reduction in work time - Decrease in labor costs - Reduction in operational errors

In entertainment facilities, guidance services require smooth navigation and information provision for visitors. In particular, providing directions within a large facility and event information are crucial factors that influence customer satisfaction. However, human-guided assistance has its limitations, and congestion can occur during peak times, potentially diminishing visitor satisfaction. The @mobi 2.6, when equipped on autonomous mobile robots, allows for free movement within the facility, enabling accurate information provision and smooth guidance. 【Usage Scenarios】 - Directional guidance in theme parks and amusement parks - Guidance for exhibits in exhibition halls - Floor guidance in commercial facilities 【Benefits of Implementation】 - Reduction in labor costs through the efficiency of guidance services - Improvement in customer satisfaction - Timely provision of the latest information

In the field of space exploration, autonomous movement in harsh environments is required. In particular, exploration robots need to move in locations where remote operation from Earth is difficult, avoid terrain undulations and obstacles, and maintain stability during long-distance travel. The @mobi 2.6 enables stable autonomous movement even in environments where LiDAR is hard to reach, thanks to its GNSS functionality, and achieves coordination among multiple robots through its fleet management feature. This enhances the efficiency and safety of movement in space exploration. 【Use Cases】 - Autonomous movement of rovers in lunar exploration - Coordination of exploration robots in Mars exploration - Movement and data collection in asteroid exploration 【Benefits of Implementation】 - Stable autonomous movement in harsh environments - Efficient exploration by multiple robots - Expansion of exploration range and improved data collection efficiency

In the construction industry, accurate understanding of the site conditions is essential for progress management. Particularly in construction sites with vast areas and complex structures, accurately grasping the current situation and managing progress leads to shortened construction periods and cost reductions. However, traditional surveying methods have been time-consuming and labor-intensive, with limitations in accuracy. @mobi-SLAM utilizes high-precision 3D mapping technology to quickly and accurately visualize the current state of construction sites, thereby streamlining progress management. 【Usage Scenarios】 * Creating 3D maps of the entire construction site * Visualizing progress status * Recording after completion 【Benefits of Implementation】 * Reduction in surveying time * Improved accuracy in progress management * Cost savings

In quality inspection of the manufacturing industry, accurate localization of products and the construction of detailed 3D models of the inspection targets are required. Particularly in inspections involving complex shapes and diverse environments, the accuracy of self-localization is crucial. Errors in self-localization can compromise the reliability of inspection results. @mobi-SLAM is a 3D-LiDAR SLAM software that balances matching performance and lightweight, high-speed operation, even in low-feature environments. By preventing loss of self-localization and creating high-quality maps, it contributes to improved inspection accuracy. 【Use Cases】 - Automated inspection of products on the manufacturing line - Inventory management of parts and products within warehouses - Patrol inspections within factories 【Benefits of Implementation】 - Increased efficiency and accuracy of inspections - Reduction in labor costs - Cost savings through early detection of defective products

In the logistics industry, accurate location information is crucial for inventory management. Particularly, being able to monitor the movement and storage conditions of products within a warehouse in real-time is essential for improving operational efficiency and reducing costs. However, traditional systems have faced challenges in obtaining accurate location information due to environmental changes and human errors. @mobi-SLAM addresses these issues by utilizing SLAM technology to accurately track the positions of autonomous mobile robots within the warehouse. 【Use Cases】 - Inventory management using autonomous mobile robots within the warehouse - Automatic acquisition of product shelf location information - Streamlining inbound and outbound management 【Benefits of Implementation】 - Improved accuracy in inventory management - Reduced working time - Decreased labor costs

In the agricultural sector, accurately understanding the growth conditions is a crucial factor that influences both yield and quality. Particularly in vast fields or areas with complex terrain, it is challenging to grasp the growth conditions of crops in detail. Traditional monitoring methods have faced the issue of being labor-intensive for data acquisition, making it difficult to obtain accurate information in real-time. @mobi-SLAM utilizes 3D-LiDAR SLAM technology to quickly and accurately create 3D maps of fields, allowing for detailed visualization of growth conditions. This enables farmers to accurately understand the growth status and take appropriate measures. 【Use Cases】 - Creating 3D maps of entire fields using drones or robots - Optimizing watering and fertilizer application through visualization of growth conditions - Early detection and management of pests and diseases 【Benefits of Implementation】 - Improved yield and quality through visualization of growth conditions - Increased work efficiency and cost reduction - Realization of precision agriculture based on data

In the infrastructure inspection industry, high-precision location information and 3D data are required for the deterioration diagnosis of structures. Particularly for large-scale structures such as bridges and tunnels, the accuracy of inspection data is essential for ensuring safety. Traditional inspection methods have faced challenges in obtaining location information, making it difficult to accurately assess deterioration conditions. @mobi-SLAM contributes to the efficiency and accuracy of infrastructure inspections by simultaneously acquiring high-precision 3D point cloud data and location information. 【Use Cases】 - Inspection of infrastructure structures such as bridges, tunnels, and roads - Visualization of deterioration conditions using 3D point cloud data and location information - Efficiency improvement and cost reduction in inspection work 【Benefits of Implementation】 - Accurate deterioration diagnosis using high-precision 3D data - Reduction in inspection work time - Cost savings in inspections - Enhanced safety

In the security industry, extensive area monitoring and rapid detection of abnormal situations are required. Especially in nighttime, adverse weather conditions, or places with poor visibility, advanced technology is necessary for monitoring. Traditional surveillance systems are prone to blind spots, increasing the risk of missing abnormalities. @mobi-SLAM prevents self-position loss and creates high-precision maps, enabling efficient patrolling by autonomous mobile robots. This reduces the burden on security personnel and contributes to building a safer environment. 【Use Cases】 - Facility security during nighttime or adverse weather - Patrolling within warehouses and factories - Remote monitoring in hazardous areas - Integration with abnormal detection systems 【Benefits of Implementation】 - Establishment of a 24/7 monitoring system - Reduction of labor costs - Rapid response in case of abnormalities - Improvement in monitoring accuracy

In the real estate industry, there is a growing demand for immersive VR property viewings for clients. However, traditional VR viewings have sometimes compromised the customer experience due to low-accuracy 3D models, motion blur, and misalignment of the user's position. @mobi-SLAM generates high-precision 3D maps, enabling smooth VR viewings. This allows clients to experience the sensation of actually walking through the property, contributing to an increase in conversion rates. 【Use Cases】 - VR viewings for condominiums and single-family homes - VR presentations for commercial facilities and office buildings - Image confirmation after renovations 【Benefits of Implementation】 - Improved customer satisfaction through enhanced quality of VR viewings - Opportunities for client acquisition by enabling remote viewings - Maximizing the appeal of properties and increasing conversion rates

In resource exploration in mining, accurate terrain understanding and obtaining location information of moving objects are essential. Particularly in environments where GPS signals are difficult to receive, such as underground tunnels and open-pit mining sites, self-position estimation technology becomes crucial. Conventional technologies have struggled to adapt to environmental changes and sudden movements of moving objects, making accurate map creation challenging. @mobi-SLAM is a 3D-LiDAR SLAM software that balances matching performance usable in low-feature environments with lightweight and high-speed capabilities. By preventing self-position loss and creating high-quality maps, it contributes to increased efficiency and safety in mining and resource exploration. 【Use Cases】 - Position estimation of moving objects within tunnels - Terrain mapping in open-pit mining sites - Integration into robots for resource exploration 【Benefits of Implementation】 - Improved survey accuracy through high-precision map creation - Enhanced survey efficiency by preventing self-position loss - Realization of autonomous movement in harsh environments

In disaster response situations, quickly understanding the extent of damage is essential. Accurate map creation greatly influences the efficiency of rescue operations and recovery efforts. Particularly in conditions with poor visibility, such as rubble or smoke, traditional technologies face challenges like loss of self-positioning and decreased map accuracy. @mobi-SLAM is a 3D-LiDAR SLAM software that combines matching performance usable in low-feature environments with lightweight and high-speed capabilities. By preventing self-position loss and creating high-quality maps, it enables rapid assessment of damage. 【Use Cases】 - Creating 3D maps of disaster-stricken areas - Assessing the condition of collapsed buildings and infrastructure - Formulating rescue routes - Managing the progress of recovery operations 【Benefits of Implementation】 - Increased efficiency of rescue operations through rapid information gathering - Optimization of recovery plans through accurate damage assessment - Early detection of hazardous areas to prevent secondary disasters - Rapid information sharing with relevant parties