Abstract: The present invention relates to safety in a dynamic 3D healthcare environment. The invention in particular relates to a medical safety-system for dynamic 3D healthcare environments, a medical examination system with motorized equipment, an image acquisition arrangement, and a method for providing safe movements in dynamic 3D healthcare environments. In order to provide improved safety in dynamic 3D healthcare environments with a facilitated adaptability, a medical safety-system (10) for dynamic 3D healthcare environments is provided, comprising a detection system (12), a processing unit (14), and an interface unit (16). The detection system comprises at least one sensor arrangement (18) adapted to provide depth information of at least a part of an observed scene (22). The processing unit comprises a correlation unit (24) adapted to correlate the depth information. The processing unit comprises a generation unit (26) adapted to generate a 3D free space model (32).

Abstract: A medical safety-system for dynamic 3D healthcare environments, a medical examination system with motorized equipment, an image acquisition arrangement, and a method for providing safe movements in dynamic 3D healthcare environments. The medical safety-system for dynamic 3D healthcare environments includes a detection system, a processing unit, and an interface unit. The detection system includes at least one sensor arrangement to provide depth information of at least a part of an observed scene. The processing unit includes a correlation unit to assign the depth information and a generation unit to generate a 3D free space model to provide the 3D free space model.

Abstract: A plant detection device is provided that includes a robotic arm having gripping element that includes first and second curved grippers with opposing concave surfaces that move between an open and closed states, and the arm moves and vibrates the gripping element, a proximity force sensor that is disposed on the gripper and outputs a measurement signal of a force between the gripping element and an outgrowth from a stem of a plant under test to a computer, a force and frequency sensor that is orthogonal to the proximity force sensor outputs a gripping force measurement and a frequency response measurement of the stem of the plant under test to the computer, where the computer moves the gripping and vibrating arm according to the sensor signal outputs.

Abstract: The present invention relates to safety in a dynamic 3D healthcare environment. The invention in particular relates to a medical safety-system for dynamic 3D healthcare environments, a medical examination system with motorized equipment, an image acquisition arrangement, and a method for providing safe movements in dynamic 3D healthcare environments. In order to provide improved safety in dynamic 3D healthcare environments with a facilitated adaptability, a medical safety-system (10) for dynamic 3D healthcare environments is provided, comprising a detection system (12), a processing unit (14), and an interface unit (16). The detection system comprises at least one sensor arrangement (18) adapted to provide depth information of at least a part of an observed scene (22). The processing unit comprises a correlation unit (24) adapted to correlate the depth information. The processing unit comprises a generation unit (26) adapted to generate a 3D free space model (32).

Abstract: In a lithographic apparatus, a feedforward transfer function of a control system is determined by: a) iteratively learning a feedforward output signal of the control system by iterative learning control for a given setpoint signal; b) determining a relation between the learned feedforward output signal and the setpoint signal; and c) applying the relation as the feedforward transfer function of the control system. A learned feedforward, which has been learned for one or more specific setpoint signals only, can be adapted to provide a setpoint signal dependent feedforward output signal. The learned feedforward can be made more robust against setpoint variations.

Abstract: In a lithographic apparatus, a feedforward transfer function of a control system, is determined by: a) iteratively learning a feedforward output signal of the control system by iterative learning control for a given setpoint signal; b) determining a relation between the learned feedforward output signal and the setpoint signal; and c) applying the relation as the feedforward transfer function of the control system. A learned feedforward, which has been learned for one or more specific setpoint signals only, can be adapted to provide a setpoint signal dependent feedforward output signal. The learned feedforward can be made more robust against setpoint variations.