Often, the engineering team at Intellimech is tasked with delivering a solution that requires an unconventional, innovative approach to accomplish our partners’ objective. Encompassing and applying our know-how, from custom servo-controlled mechanisms and high-precision motion systems to fast real-time control and cutting-edge machine vision and sensing tools, allows us to push the boundaries of what’s possible in automation. One tool employed by our engineers is the Kalman filter, created by its namesake Rudolf Kálmán and published in 1960. Whether developing a control algorithm for a complex process or designing a force control method in MATLAB, the Kalman filter is indispensable. Kalman filters are a powerful and versatile tool for automation systems. They provide a way to process data in real-time and make decisions quickly, which is essential for many automation processes. Kalman filters are based on a mathematical model that combines statistical methods and state-space equations. This model is designed to be adaptive, meaning it can adjust its parameters in response to changing conditions and inputs. This makes Kalman filters useful for tasks that require accurate estimation and filtering of data. Kalman filters are used for a variety of automation tasks, such as tracking moving objects, detecting anomalies in sensor data, and estimating the state of a system. They are also used for tasks that require accurate data, such as navigation and control. In this article from MIT Technology Review, the background and far-reaching impact of this versatile tool is explored. If you’re facing a challenge that requires in-depth engineering knowledge and versatile capability for your custom solution, connecting with Intellimech today can be the first step on the path to realizing your application.
Getting Closer to Your Robotic Colleague
Human and robot collaboration in industrial environments is becoming increasingly important as companies look for ways to improve efficiency, reduce costs, and enhance safety. The integration of advanced technologies is key to achieving these goals, and several key technologies are enabling this collaboration. One of the most important technologies is the use of sensors and machine learning algorithms to enable robots to “see” and understand their environment. This includes the use of cameras, lidar, and other sensors to gather data about the environment, as well as machine learning algorithms that can analyze this data and allow the robot to make decisions based on it. This enables robots to work alongside humans in a more natural and intuitive way, as they can understand and respond to the actions of their human colleagues. Another key technology is the use of advanced robotic manipulators and grippers. These devices allow robots to handle a wide range of objects and materials, and to manipulate them with precision and control. This is particularly important in industrial environments, where robots are often required to work with a wide range of different materials and products. Finally, the use of communication and control systems is also crucial for enabling human and robot collaboration. These systems allow humans and robots to communicate with one another in real-time, which enables them to work together more effectively. Additionally, control systems allow robots to be programmed and controlled remotely, which enables them to be easily integrated into existing industrial environments. Overall, the integration of advanced technologies is enabling human and robot collaboration in industrial environments to become more efficient, cost-effective, and safe. As these technologies continue to evolve and improve, we can expect to see even more collaboration between humans and robots in the future. In this article from MIT Technology Review, the complexities and present-day realities of human-robot collaboration are explored with an eye to what future offerings may enable. The engineers at Intellimech are adept at fusing real-world applications experience with comprehensive engineering knowledge in order to provide our partners the optimal solution to meet their requirements. Reach out to us today to discuss how we can work together to help your project succeed.
A Toolbox Full of Software
At Intellimech, our engineers apply sophisticated software tools during the design process to help ensure our partners’ projects are successful, even before the first component is fabricated. We take advantage of model-based simulation tools such as those available in MATLAB, Simulink, and SolidWorks to ensure design feasibility and approach our customers’ unique challenges in the most effective manner possible. Using simulation for complex mechanical and electrical systems allows us to identify areas of focus early in the design process instead of during assembly or start-up, which helps our customers realize their visions on-time and on-budget. In this article from MathWorks, the creators of MATLAB and Simulink, a sample workflow for laying out a simulation is examined.