ams OSRAM Robotic Solutions

More About ams OSRAM

ams OSRAM Robotic Solutions enhances robot performance by improving their sensing and precision capabilities, i.e., making them smarter. Smart robotics range from traditional robot arms in production lines to mobile robots used in logistics, so-called AGVs or AMRs, to advanced service robots. Smart robots play an increasingly important role in industrial automation and private homes. These robots can take over repetitive and dangerous tasks safely and flexibly, saving time and cost.

Mobile Robots

Mobile robots, also known as Autonomously Guided Vehicles (AGVs) or Autonomous Mobile Robots (AMRs), are widely popular in automation. These robots are primarily driven by the availability of vision-based technologies that enable reliable 3D imaging for object recognition and collision avoidance. These robots are used mainly for navigation and safety applications in collaborative environments. The vision technologies used rely on specially designed cameras. These consist of spatially separated, baseline image sensor modules with laser or LED-based synchronized scene illumination or a single image sensor paired with a laser-dot-projection module. It is called “active stereovision” when both technologies are combined. In stereovision, the pixel triangulation between the two cameras allows the computation of a 3D depth map of the complete scanned scene. In the case of structured light, the 3D depth map is derived from the observed planar distortion of the predefined projection pattern.

Stationary Robots

Stationary robots accelerate and execute manufacturing tasks in production, such as pick-and-place, welding, or assembly. With the help of more advanced vision-based solutions, robots can perform more complex tasks, providing greater flexibility and making them useful for different tasks.

Household Robots

Household robots, primarily vacuum robots or robotic mowers, are a consumer version of industrial mobile robots. These robots typically operate at lower speeds and are optimized for cost. Due to lower weights and slower speeds, the scanned area of these robots for environment sensing is narrower than in professional systems. In these, often, a combination of stereovision or structured light imaging for the front view is paired with time-of-flight sensor modules for obstacle sensing. Due to the smaller robot size, even small objects like cell phone charging cables could become a blocking obstacle requiring reliable detection.