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It is very intricate to determine the parameters for a correct kinematic model to compensate robot inaccuracies by calibration. Whereas non model-based approaches to compensate multi-directional robot pose inaccuracies with the help of a correction matrix have the disadvantage of being time consuming due to the large number of measurements. This paper describes a more efficient non model-based method to compensate tool deviations by defining a minimized subspace for the robot, taking advantage of a rotary table. Necessary measuring poses are identified depending on the commanded paths and the inverse kinematics. The authors present the validation and verification of the method. They quantify and evaluate particularly the multi-directional positioning path accuracy.

High-throughput screenings are widely accepted for pharmaceutical developments for new substances and the development of new drugs with required characteristics by evolutionary studies. Current research projects transfer this principle of high-throughput testing to the development of metallic materials. In addition to new generating and testing methods, these types of high-throughput systems need a logistical control and handling method to reduce throughput time to get test results faster. Instead of the direct material flow found in classical high-throughput screenings, these systems have a very complex structure of material flow. The result is a highly dynamic system that includes short-term changes such as rerun stations, partial tests, and temporarily paced sequences between working systems. This paper presents a framework that divides the actions for system acceleration into three main sections. First, methods for special applications in high-throughput systems are designed or adapted to speed up the generation, treatment, and testing processes. Second, methods are needed to process trial plans and to control test orders, which can efficiently reduce waiting times. The third part of the framework describes procedures for handling samples. This reduces non-productive times and reduces order processing in individual lots.

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