Abstract: Disclosed herein is a device, system and method for determining error in robotic manipulator-to-camera calibration. The method includes detecting a test object by a camera coupled to a robotic manipulator. One or more test points are identified on the test object based on a CAD model and pre-defined contact points corresponding to the test object. Arm poses are determined for the robotic manipulator to reach the test points on the 3D test object by using current robotic manipulator-to-camera calibration. While driving an end effector of the robotic manipulator based on the arm poses, any contact of the end effector on the 3D test object is recorded upon receiving a feedback from the 3D test object. An error is determined in the current robotic manipulator-to-camera calibration based on current position of the end effector relative to the one or more test points on the 3D test object.

Abstract: Disclosed herein is a device, system and method for determining error in robotic manipulator-to-camera calibration. The method includes detecting a test object by a camera coupled to a robotic manipulator. One or more test points are identified on the test object based on a CAD model and pre-defined contact points corresponding to the test object. Arm poses are determined for the robotic manipulator to reach the test points on the 3D test object by using current robotic manipulator-to-camera calibration. While driving an end effector of the robotic manipulator based on the arm poses, any contact of the end effector on the 3D test object is recorded upon receiving a feedback from the 3D test object. An error is determined in the current robotic manipulator-to-camera calibration based on current position of the end effector relative to the one or more test points on the 3D test object.

Abstract: Systems and methods for inventory control in an establishment are described. The system receives sensor data, planogram data, and image data. Based on the sensor data, the system determines current position of products placed at product support devices (PSD). Further, the current position is compared with predefined arrangement defined in the planogram data. Further, the system determines planogram compliance metric, based on the comparison, indicating deviation of placement of the products. The system further identifies the products in the PSDs based on the image data. Further, a product-count corresponding to each of the products are determined. The product-count of at least one product is compared with corresponding predefined threshold count to determine a product stock-out condition indicating at least one of an out of stock condition and low on stock condition. The system further generates product filling information based on the product stock-out condition.