Kiroptimizer

Kiroptimizer is a software tool designed for optimizing the placement and scheduling of industrial robots. It aims to enhance efficiency and reduce production costs by finding the most effective configurations for robotic systems. The software typically takes into account factors such as robot reach, payload capacity, cycle times, and the spatial arrangement of workstations. It can also consider collision avoidance between robots and other equipment within the workspace.

The primary objective of Kiroptimizer is to minimize the total cycle time for a given manufacturing task or set of tasks. This is achieved by intelligently assigning operations to specific robots and determining the optimal sequence and path for each robot's movements. Users can input detailed information about the environment, the objects to be manipulated, and the desired production output. The optimizer then employs algorithms, often based on heuristics or mathematical programming, to explore a vast solution space and identify a near-optimal or optimal solution.

Applications of Kiroptimizer can be found in various manufacturing sectors, including automotive, electronics, and general assembly. By automating the complex process of robot cell design and programming, it can significantly reduce the time and expertise required for setup and modification of robotic production lines. This leads to faster deployment of automated systems and greater flexibility in adapting to changing production demands. The software's output often includes robot trajectories, timing information, and simulation data that can be directly used by robot controllers.