A system and method are provided for automated engaging of a truck trailer at a loading dock. Sensors measure a distance and an angle of alignment between the incoming trailer and a wall of the loading dock. An outside lighting system guides a truck driver backing the trailer toward the dock door. A vehicle restraint system fixates the trailer within the loading dock in response to signals from the sensors. An overhead dock door opens once the trailer is successfully fixated by the vehicle restraint system. A dock leveler deploys after the overhead dock door opens. An inside dock light indicates to dock personnel that the trailer is ready to be serviced. Once servicing of the trailer is finished, an automated release of the trailer from the loading dock may be initiated by PLC communication.

A door system for at least one door, the door system including door components, with one of the components being designed as a control unit. The control unit and at least one other door component are connected to one another via a first communication bus.

An access system with an above door system and with a computing unit are related, with an image of the door system stored in the computing unit, the door components connected to the first communication bus each having an identifier. The identifiers are stored as part of the image of the door system in the computing unit and/or with past and current operating states of the door system stored in the computing unit.

An access system with at least one of the above door systems is related, with at least one door system having an authentication device configured to receive an access attribute for authentication.

Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Provided is a technique for controlling a door of a toilet cubicle according to a situation in the toilet cubicle at the time of an abnormality occurrence. A toilet system according to the present invention is provided with a detection unit that detects a state of the inside of a toilet cubicle, an abnormality determination unit that determines the occurrence of an abnormality and the type thereof on the basis of a detection result obtained by the detection unit, and a door control unit that controls opening and closing of a door according to the type of the abnormality when it is determined that the abnormality has occurred.

A door operator includes a door driver for opening and closing a door, and a control system including a microprocessor having multiple microprocessor inputs. The microprocessor is connected to and controls the door driver. The microprocessor has multiple program modules corresponding to input functions to be performed by the door operator. The door operator includes a plurality of door operator inputs connected to corresponding ones of the microprocessor inputs, and a user interface connected to the microprocessor. The user interface allows a user to associate a selected door operator input and corresponding microprocessor input to a selected program module corresponding to a selected function to be performed by the door operator.

An automatic door that senses small children to avoid automatically opening the door for the detected children. Various embodiments use one or more sensors that might include proximity sensors, weight sensors, height sensors, and facial recognition sensors, for example. Logic processing is used to evaluate the outputs of the sensors to determine whether a person is a child or an adult, and the door is controlled accordingly.

Methods, apparatus, systems, and computer-readable media are provided for generating spatial affordances for an object, in an environment of a robot, and utilizing the generated spatial affordances in one or more robotics applications directed to the object. Various implementations relate to applying vision data as input to a trained machine learning model, processing the vision data using the trained machine learning model to generate output defining one or more spatial affordances for an object captured by the vision data, and controlling one or more actuators of a robot based on the generated output. Various implementations additionally or alternatively relate to training such a machine learning model.

A multi-axis robot having a kinematic chain with a tool member and at least one additional member, the tool member supporting a first tool. The associated robot control mechanism comprises a kinematic control mechanism designed to receive the movement path of the first tool using a parameterizable tool center point and to control members of the kinetic chain in such a way that the tool center point follows the movement path. The robot control mechanism maintains all the members along the kinematic chain of the tool member of another member which supports the second tool in a fixed position, it parameterizes the tool center point on a working point of the second tool, and transfers the movement path of the second tool to the kinematic control mechanism so that the latter, under the condition that the fixed position of the members is maintained, controls the remaining members of the kinematic chain using the newly parameterized tool center point so that the tool center point follows the movement path of the second tool.

A machine tool includes a bed, a column, a rotary main spindle, a tool magazine, a tool changer, and a controller. The tool changer includes a body provided on the bed so as to be movable in a direction orthogonal to a movement direction of the column, a changing arm rotatably provided on the body, and a door provided on the body to open or close an opening formed in the body, and configured to partition an area on the column side from an area on the tool magazine side by closing the opening. The controller is configured to move the body in parallel with at least one of an operation of opening the door and an operation of closing the door.

A system and method are provided for automated engaging of a truck trailer at a loading dock. Sensors measure a distance and an angle of alignment between the incoming trailer and a wall of the loading dock. An outside lighting system guides a truck driver backing the trailer toward the dock door. A vehicle restraint system fixates the trailer within the loading dock in response to signals from the sensors. An overhead dock door opens once the trailer is successfully fixated by the vehicle restraint system. A dock leveler deploys after the overhead dock door opens. An inside dock light indicates to dock personnel that the trailer is ready to be serviced. Once servicing of the trailer is finished, an automated release of the trailer from the loading dock may be initiated by PLC communication.