Robotic systems need as much information as possible in the form of data for a process to achieve targeted control and decision-making with greater consistency, economy, efficiency and safety in the process. Manual control by a human can help provide actionable data, but information models provide common ground for humans and machines. Further, there are processes that cannot be specified by a human due to their complexity and high speeds. Again, information models will help as an interface. We are very experienced in the creation of information models. We are guided by IEC/ISO 62264 or ISA-95 and ISA in general.
Our information models optimally support process controls of any technology to achieve the best efficiency. We use PLC (IEC standard) and PC programming with OPC UA and Modbus to create a safe and fast system with proven technologies.
Again, to get the most value from our system, we provide an API for your process. This makes it easy to connect low-code engines.
Optimize your process, keep the knowledge in your company and increase your efficiency with us!
Robots and information models are closely intertwined concepts that play a significant role in the field of robotics and automation.
Robots are mechanical or virtual devices programmed to perform tasks autonomously or under human guidance. They can range from simple machines to advanced humanoid robots with artificial intelligence capabilities. Robots are designed to interact with the physical world, perform specific functions, and gather information through sensors and actuators.
Information models, on the other hand, are representations of knowledge, data, or systems that facilitate communication and understanding between different entities. In the context of robots, information models serve as the framework for organizing and processing data related to the robot's operation, environment, and task execution.
One commonly used information model in robotics is the Robot Operating System (ROS). ROS provides a standardized framework for building robotic systems by defining the structure and communication protocols between different software components. It allows robots to exchange information seamlessly, enabling modular development and interoperability among different robotic platforms.
Information models also play a crucial role in perception, where robots use sensors such as cameras, lidar, and microphones to gather data about their surroundings. By constructing models of the environment, robots can understand and interpret the sensory information, enabling them to navigate, recognize objects, and make informed decisions.
Furthermore, information models contribute to robot control and planning. They represent the robot's kinematics, dynamics, and task specifications, allowing for precise control of its movements. By using mathematical models and algorithms, robots can plan and execute complex actions, such as grasping objects, manipulating tools, or navigating through dynamic environments.
In summary, robots and information models are interconnected elements in the field of robotics. Information models provide the structure and representation of knowledge, data, and systems necessary for robots to perceive, reason, and act in their environment. As technology advances, the integration of sophisticated information models with robotic systems will continue to drive innovation and enable robots to perform increasingly complex tasks in various domains.
Text von OpenAI's GPT-3.5-basiertem Sprachmodell ChatGPT. OpenAI, (02.06.2023), chat.openai.com.