Abstract: Reservations of resources within a dynamic workspace are made and facilitated including by pushing configurations specific to a worker for whom a reservation is made to the resource for a limited time period for the reservation. When the worker arrives for the reservation and checks in, configurations associated with the worker are obtained and pushed to the resource to configure the resource for use by the worker for a time period of the reservation. In some cases, an identity of the worker may be verified to complete the check in process for the reservation. In response to an end time of the reservation being determined, such as based on a scheduled end time for the reservation or based on a determination that the resource has gone unused for some amount of time, the configurations are removed from the resource to prepare the resource for use by a next worker.

Abstract: An endoscope comprises a handpiece housing, an elongate flexible shaft extending from the handpiece housing, a pull wire extending from the handpiece housing into the elongate flexible shaft, and a tensioning mechanism configured to adjust tension in the pull wire. A method for adjusting tension in a pull wire of a controller for an endoscope comprises preparing an endoscope for use before a procedure, adjusting tension in a pull wire for deflecting a flexible elongate shaft of the endoscope to reduce knob dwell, and performing an endoscopic procedure with the endoscope.

Abstract: The future presence of a worker in a dynamic workspace which includes resources for temporary use may be signaled to other workers. In response a first worker making a reservation of a resource, a second worker to indicate the future presence of that first worker to is determined based on communication records associated with the first worker and the second worker. An indication of the reservation of the resource for the first worker, and thus the future presence of that first worker in an office which includes that reserved resource, is accordingly signaled to the second worker. A suggested resource for the second worker may then be determined based on the reservation of the resource for the first worker. In response to the second worker making a reservation of the suggested resource, a reservation record indicating the reservation of the suggested resource for the second worker may then be generated.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.