The foundation of smart robots is Artificial Intelligence (AI), a branch of information technology that seeks to create systems capable of performing tasks that would otherwise require human intervention.
Smart robots are equipped with machine learning algorithms, which allow them to gain knowledge from data and improve their performance over time
Smart robots use complex algorithms to process information and make decisions. Data input comes from various sources such as sensors, cameras, and other perception devices. This data is then processed through neural networks, which are systems that mimic the structure and function of the human brain. During this process, the robot learns patterns and correlations, allowing it to perform specific tasks more efficiently.
The wide range of applications resulting from the synergy between AI and robotics demonstrates its significant use for humans in work, personal, social, healthcare, or security environments. In the case of a security robot, sensors collect environmental data, and through AI algorithms, this data is processed and analyzed to make relevant decisions.
Smart robots are constantly evolving with the advancement of AI. In the short term, new applications will emerge to handle more complex tasks while improving the accuracy and efficiency of current applications, especially in the field of surveillance. This is an innovative solution to enhance security in critical environments and reduce risks for humans.
Mechatronics
Mechatronics is a branch of engineering that focuses on the design, construction, and maintenance of products with both electrical and mechanical components. The term actually refers to a combined field of study where topics in electronics, control, mechanics, and programming are taught.
The goal of mechatronics is to achieve simpler, cheaper, more convenient, and more flexible automation systems.
Automation
Automation, or “khodkarsazi,” is a combination of the two words “Automatic” and “Operation,” meaning the execution of a process without direct human intervention.
Automation refers to the use of control tools (such as computers, microprocessors, PLCs, etc.) to guide and control industrial machinery and production processes. It involves the use of control systems (such as numerical control, programmable logic control, fuzzy control, and other industrial control systems), as well as mechanical and electronic tools, with the help of computers [CAM, CAD, CAX] to monitor the production line, with the goal of reducing the need for human involvement
FMS
A Flexible Manufacturing System (FMS) is a programmable production system capable of automatically manufacturing various products. An FMS combines elements such as Coordinate Measuring Machines, Robots, Machine Centers, Turning Centers, and other machines.
Flexible manufacturing training systems are built from several essential parts, including control, mechanics, pneumatics or hydraulics, and electronics. These flexible training systems include elements and modules that can be easily expanded in the future, which is their most significant positive feature.
These modules can be easily moved to any point in a factory and added together to create a complete training or industrial system. They can be easily updated and, due to their standard components, are much faster, more cost-effective, and more flexible compared to non-modular training systems.
The foundation of smart robots is Artificial Intelligence (AI), a branch of information Atechnology that seeks to create systems capable of performing tasks that would otherwise require human intervention.
Smart robots are equipped with machine learning algorithms, which allow them to gain knowledge from data and improve their performance over time
Smart robots
Smart robots use complex algorithms to process information and make decisions. Data input comes from various sources such as sensors, cameras, and other perception devices. This data is then processed through neural networks, which are systems that mimic the structure and function of the human brain. During this process, the robot learns patterns and correlations, allowing it to perform specific tasks more efficiently.
The wide range of applications resulting from the synergy between AI and robotics demonstrates its significant use for humans in work, personal, social, healthcare, or security environments. In the case of a security robot, sensors collect environmental data, and through AI algorithms, this data is processed and analyzed to make relevant decisions.
Smart robots are constantly evolving with the advancement of AI. In the short term, new applications will emerge to handle more complex tasks while improving the accuracy and efficiency of current applications, especially in the field of surveillance. This is an innovative solution to enhance security in critical environments and reduce risks for humans.
Mechatronics
Mechatronics is a branch of engineering that focuses on the design, construction, and maintenance of products with both electrical and mechanical components. The term actually refers to a combined field of study where topics in electronics, control, mechanics, and programming are taught.
The goal of mechatronics is to achieve simpler, cheaper, more convenient, and more flexible automation systems.
Automation
Automation, or “khodkarsazi,” is a combination of the two words “Automatic” and “Operation,” meaning the execution of a process without direct human intervention.
Automation refers to the use of control tools (such as computers, microprocessors, PLCs, etc.) to guide and control industrial machinery and production processes. It involves the use of control systems (such as numerical control, programmable logic control, fuzzy control, and other industrial control systems), as well as mechanical and electronic tools, with the help of computers [CAM, CAD, CAX] to monitor the production line, with the goal of reducing the need for human involvement
FMS
A Flexible Manufacturing System (FMS) is a programmable production system capable of automatically manufacturing various products. An FMS combines elements such as Coordinate Measuring Machines, Robots, Machine Centers, Turning Centers, and other machines.
Flexible manufacturing training systems are built from several essential parts, including control, mechanics, pneumatics or hydraulics, and electronics. These flexible training systems include elements and modules that can be easily expanded in the future, which is their most significant positive feature.
These modules can be easily moved to any point in a factory and added together to create a complete training or industrial system. They can be easily updated and, due to their standard components, are much faster, more cost-effective, and more flexible compared to non-modular training systems.