Abstract: Various examples of methods, systems and devices are provided for ophthalmic examination. In one example, a handheld system includes an optical imaging assembly coupled to a user device that includes a camera aligned with optics of the optical imaging assembly. The user device can obtain ocular imaging data of at least a portion of an eye via the optics of the optical imaging assembly and provide ophthalmic evaluation results based at least in part upon the ocular imaging data. In another example, a method includes receiving ocular imaging data of at least a portion of an eye; analyzing the ocular imaging data to determine at least one ophthalmic characteristic of the eye; and determining a condition based at least in part upon the at least one ophthalmic characteristic.

Abstract: Various examples of methods, systems and devices are provided for ophthalmic examination. In one example, a handheld system includes an optical imaging assembly coupled to a user device that includes a camera aligned with optics of the optical imaging assembly. The user device can obtain ocular imaging data of at least a portion of an eye via the optics of the optical imaging assembly and provide ophthalmic evaluation results based at least in part upon the ocular imaging data. In another example, a method includes receiving ocular imaging data of at least a portion of an eye; analyzing the ocular imaging data to determine at least one ophthalmic characteristic of the eye; and determining a condition based at least in part upon the at least one ophthalmic characteristic.

Abstract: Various examples of methods, systems and devices are provided for ophthalmic examination. In one example, a handheld system includes an optical imaging assembly coupled to a user device that includes a camera aligned with optics of the optical imaging assembly. The user device can obtain ocular imaging data of at least a portion of an eye via the optics of the optical imaging assembly and provide ophthalmic evaluation results based at least in part upon the ocular imaging data. In another example, a method includes receiving ocular imaging data of at least a portion of an eye; analyzing the ocular imaging data to determine at least one ophthalmic characteristic of the eye; and determining a condition based at least in part upon the at least one ophthalmic characteristic.

Abstract: A method for training a visual prosthesis includes presenting a non-visual reference stimulus corresponding to a reference image to a visual prosthesis patient. Training data sets are generated by presenting a series of stimulation patterns to the patient through the visual prosthesis. Each stimulation pattern in the series is determined at least in part on a received user perception input and a fitness function optimization algorithm. The presented stimulation patterns and the user perception inputs are stored and presented to a neural network off-line to determine a vision solution.

Abstract: A method of controlling a plurality of crafts in an operational area includes providing a command system, a first craft in the operational area coupled to the command system, and a second craft in the operational area coupled to the command system. The method further includes determining a first desired destination and a first trajectory to the first desired destination, sending a first command from the command system to the first craft to move a first distance along the first trajectory, and moving the first craft according to the first command. A second desired destination and a second trajectory to the second desired destination are determined and a second command is sent from the command system to the second craft to move a second distance along the second trajectory.

Abstract: A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system.

Abstract: A method for training a visual prosthesis includes presenting a non-visual reference stimulus corresponding to a reference image to a visual prosthesis patient. Training data sets are generated by presenting a series of stimulation patterns to the patient through the visual prosthesis. Each stimulation pattern in the series is determined at least in part on a received user perception input and a fitness function optimization algorithm. The presented stimulation patterns and the user perception inputs are stored and presented to a neural network off-line to determine a vision solution.

Abstract: A method for training a visual prosthesis includes presenting a non-visual reference stimulus corresponding to a reference image to a visual prosthesis patient. The visual prosthesis including a plurality of electrodes. Training data sets are generated by presenting a series of stimulation patterns to the patient through the visual prosthesis. Each stimulation pattern in the series, after the first, is determined at least in part on a previous subjective patient selection of a preferred stimulation pattern among stimulation patterns previously presented in the series and a fitness function optimization algorithm. The presented stimulation patterns and the selections of the patient are stored and presented to a neural network off-line to determine a vision solution.

Abstract: A method of controlling a plurality of crafts in an operational area includes providing a command system, a first craft in the operational area coupled to the command system, and a second craft in the operational area coupled to the command system. The method further includes determining a first desired destination and a first trajectory to the first desired destination, sending a first command from the command system to the first craft to move a first distance along the first trajectory, and moving the first craft according to the first command. A second desired destination and a second trajectory to the second desired destination are determined and a second command is sent from the command system to the second craft to move a second distance along the second trajectory.

Abstract: A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system.

Abstract: A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system.

Abstract: A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system.