Abstract: One embodiment can provide a machine-vision system that includes one or more stereo-vision modules. A respective stereo-vision module can include a structured-light projector, a first camera positioned on a first side of the structured-light projector, and a second camera positioned on a second side of the structured-light projector. The first and second cameras are configured to capture images of an object under illumination by the structured-light projector. The structured-light projector can include a laser-based light source and an optical modulator configured to reduce speckles caused by the laser-based light source.

Abstract: One embodiment can provide an intelligent robotic system. The intelligent robotic system can include at least one multi-axis robotic arm, at least one gripper attached to the multi-axis robotic arm for picking up a component, a machine vision system comprising at least a three-dimensional (3D) surfacing-imaging module for detecting 3D pose information associated with the component, and a control module configured to control movements of the multi-axis robotic arm and the gripper based on the detected 3D pose of the component.

Abstract: One embodiment can provide a machine-vision system. The machine-vision system can include a structured-light projector, a first camera positioned on a first side of the structured-light projector, and a second camera positioned on a second side of the structured-light projector. The first and second cameras are configured to capture images under illumination of the structured-light projector. The structured-light projector can include a laser-based light source.

Abstract: One embodiment can provide a machine-vision system. The machine-vision system can include a structured-light projector, a first camera positioned on a first side of the structured-light projector, and a second camera positioned on a second side of the structured-light projector. The first and second cameras are configured to capture images under illumination of the structured-light projector. The structured-light projector can include a laser-based light source.

Abstract: One embodiment can provide an intelligent robotic system. The intelligent robotic system can include at least one multi-axis robotic arm, at least one gripper attached to the multi-axis robotic arm for picking up a component, a machine vision system comprising at least a three-dimensional (3D) surfacing-imaging module for detecting 3D pose information associated with the component, and a control module configured to control movements of the multi-axis robotic arm and the gripper based on the detected 3D pose of the component.

Abstract: An automated system for evaluating biological samples which includes a centralized registry that contains protocols and configuration information for both instruments and analysis applications. The registry provides for improved automation of biological process runs using an autoanalysis applications manager component or daemon, which accesses and transmits the appropriate protocol and configuration information to selected instruments and/or applications. This information is used to instruct data capture by the biological instruments and direct the analysis of the data by the analysis applications.

Abstract: An automated system for evaluating biological samples which includes a centralized registry that contains protocols and configuration information for both instruments and analysis applications. The registry provides for improved automation of biological process runs using an autoanalysis applications manager component or daemon, which accesses and transmits the appropriate protocol and configuration information to selected instruments and/or applications. This information is used to instruct data capture by the biological instruments and direct the analysis of the data by the analysis applications.

Abstract: An automated system for evaluating biological samples which includes a centralized registry that contains protocols and configuration information for both instruments and analysis applications. The registry provides for improved automation of biological process runs using an autoanalysis applications manager component or daemon, which accesses and transmits the appropriate protocol and configuration information to selected instruments and/or applications. This information is used to instruct data capture by the biological instruments and direct the analysis of the data by the analysis applications.