Abstract: The present disclosure provides an oxide-confined semiconductor laser having high aluminum content and a fabricating method. The semiconductor laser includes: an N-side metal electrode, an N-type GaAs substrate, an N-type confinement layer, an N-type waveguide layer, an active region, a P-type waveguide layer, a P-type confinement layer, a P-type high aluminum content layer, a P-type contact layer, and a P-side metal electrode. The P-type high aluminum content layer and the P-type contact layer are etched to form a ridge structure. The P-type high aluminum content layer is oxidized to form an oxidation confinement layer. The oxidation confinement layer is between an upper surface of the P-type confinement layer and a lower surface of the P-type contact layer, and covers both sides of the ridge structure, so as to form a current injection channel below the ridge structure and an electrical isolation on the both sides of the ridge structure.

Abstract: The present disclosure provides a method of perceiving a position and pose of a hydraulic support group based on multi-point ranging and belongs to the field of test or measurement technologies unlisted in other categories. The method uses a hydraulic support group. The hydraulic support group includes multiple juxtaposed hydraulic supports. The method includes: with a plane above a base as a reference plane, establishing a reference coordinate system; perceiving a relative position of the base and a canopy of the hydraulic supports and perceiving a position and pose of a single hydraulic support; when the hydraulic supports have axial offset and roll phenomenon, performing offset amount calculation; based on the perception of the position and pose of single hydraulic supports, performing perception on the position and pose of the hydraulic support group.

Abstract: The present disclosure provides a method of perceiving a position and pose of a hydraulic support group based on multi-point ranging and belongs to the field of test or measurement technologies unlisted in other categories. The method uses a hydraulic support group. The hydraulic support group includes multiple juxtaposed hydraulic supports. The method includes: with a plane above a base as a reference plane, establishing a reference coordinate system; perceiving a relative position of the base and a canopy of the hydraulic supports and perceiving a position and pose of a single hydraulic support; when the hydraulic supports have axial offset and roll phenomenon, performing offset amount calculation; based on the perception of the position and pose of single hydraulic supports, performing perception on the position and pose of the hydraulic support group.

Abstract: A method and system for registering a 3D sensor with an autonomous manipulator is provided. The 3D sensor has a field of view and a sensor coordinate system. The autonomous manipulator is a vision-guided manipulator having a work envelope and a manipulator coordinate system. The method includes moving a registration target relative to the sensor in the field of view of the sensor in the work envelope to obtain a plurality of depth maps or images of the target. The depth maps or images are processed to obtain a plurality of extrinsic registration parameters between the manipulator and the sensor.

Abstract: A method and system for creating a high-fidelity depiction of a scene including an object within the scene are provided. The method includes uniformly illuminating a target surface of the object with light to obtain reflected, backscattered illumination. The method also includes sensing via a volumetric sensor, brightness of the surface due to a diffuse component of the backscattered illumination to obtain brightness information. Backscattered illumination from the target surface is inspected to obtain geometric measurements which include sensor noise. Rotationally and positionally invariant measured surface albedo including albedo noise of the object is computed based on the brightness and the geometric measurements. A machine-learning model such as a diffusion sensor model is applied to the geometric measurements and the measured surface albedo to remove the sensor noise and the albedo noise, respectively, to obtain a prediction of actual geometry and actual albedo, respectively, of the object.

Abstract: A method and system for registering a 3D sensor with an autonomous manipulator is provided. The 3D sensor has a field of view and a sensor coordinate system. The autonomous manipulator is a vision-guided manipulator having a work envelope and a manipulator coordinate system. The method includes moving a registration target relative to the sensor in the field of view of the sensor in the work envelope to obtain a plurality of depth maps or images of the target. The depth maps or images are processed to obtain a plurality of extrinsic registration parameters between the manipulator and the sensor.

Abstract: A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

Abstract: A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

Abstract: A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

Abstract: A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.

Abstract: A differential amplifier receives a differential input signal and generates an output signal at an output node. An auxiliary circuit coupled to the differential amplifier operates to improve slew rate response. In quiescent and small signal situations with respect to the differential input signal, the auxiliary circuit does not alter or change operation of the differential amplifier. However, in situations where a large signal change is experienced with respect to the differential input signal, the auxiliary circuit functions to speed up the sourcing and sinking current to/from the output node. A stability compensation capacitor coupled to the output node is accordingly more quickly charged or discharged and an improvement in slew rate performance of the differential amplifier is experienced.

Abstract: A differential amplifier receives a differential input signal and generates an output signal at an output node. An auxiliary circuit coupled to the differential amplifier operates to improve slew rate response. In quiescent and small signal situations with respect to the differential input signal, the auxiliary circuit does not alter or change operation of the differential amplifier. However, in situations where a large signal change is experienced with respect to the differential input signal, the auxiliary circuit functions to speed up the sourcing and sinking current to/from the output node. A stability compensation capacitor coupled to the output node is accordingly more quickly charged or discharged and an improvement in slew rate performance of the differential amplifier is experienced.