Abstract: A micro-robotic platform and a method for deploying the platform in a body cavity for performing endoluminal surgical interventions in a fully bimanual fashion. The platform comprises a first (1) and a second (2) surgical robot each provided with a surgical tool (5, 6) and being configured to be attached to the body cavity wall. The first and the second surgical robot each comprises a first (11) and a second (12) snake-like robotic unit, the first snake-like robotic unit (11) comprising a first central unit (13) and first articulated attachment means (7a, b; 8a, b; 9) extending from said first central unit (13) for attaching the first central unit to the body cavity wall.

Abstract: A program is provided for setting efficiently, and with precision, the inspection conditions of an inspection device that detects particles and deformed patterns in or on products such as semiconductor integrated circuits that are manufactured by simultaneously forming a plurality of products on a single substrate. In particular, the system achieves greater efficiency of the setting of cell comparison regions and the setting of non-inspection regions. Input processing of a product type code, input processing of chip size and configuration information, reading processing of circuit layout data, extraction processing of repeated pattern region coordinates, extraction processing of sparse region coordinates and circuit pattern condition registration processing are sequentially executed.

Abstract: A program is provided for setting efficiently, and with precision, the inspection conditions of an inspection device that detects particles and deformed patterns in or on products such as semiconductor integrated circuits that are manufactured by simultaneously forming a plurality of products on a single substrate. In particular, the system achieves greater efficiency of the setting of cell comparison regions and the setting of non-inspection regions. Input processing of a product type code, input processing of chip size and configuration information, reading processing of circuit layout data, extraction processing of repeated pattern region coordinates, extraction processing of sparse region coordinates and circuit pattern condition registration processing are sequentially executed.

Abstract: Inspection data output from an inspection apparatus is read, the inspection data containing at least one information piece of coordinate value information and size information of a particle or a pattern defect of an inspected object, and drawing data of a product of the inspected object is read. Information is extracted which is representative of a relation between at least one information piece of coordinated value information and size information of the particle or pattern defect of the inspected object in the read inspection data and the read drawing data input at said drawing data input step. The extracted information is compared with determination criterion information registered beforehand and it is determined whether each particle or pattern defect of the inspected object in the inspection data is a detection error or not.

Abstract: A program is provided for setting efficiently, and with precision, the inspection conditions of an inspection device that detects particles and deformed patterns in or on products such as semiconductor integrated circuits that are manufactured by simultaneously forming a plurality of products on a single substrate. In particular, the system achieves greater efficiency of the setting of cell comparison regions and the setting of non-inspection regions. Input processing of a product type code, input processing of chip size and configuration information, reading processing of circuit layout data, extraction processing of repeated pattern region coordinates, extraction processing of sparse region coordinates and circuit pattern condition registration processing are sequentially executed.

Abstract: Inspection data output from an inspection apparatus is read, the inspection data containing at least one information piece of coordinate value information and size information of a particle or a pattern defect of an inspected object, and drawing data of a product of the inspected object is read. Information is extracted which is representative of a relation between at least one information piece of coordinated value information and size information of the particle or pattern defect of the inspected object in the read inspection data and the read drawing data input at said drawing data input step. The extracted information is compared with determination criterion information registered beforehand and it is determined whether each particle or pattern defect of the inspected object in the inspection data is a detection error or not.