Abstract: A system and method for path navigation accuracy estimation. A method includes determining a degree of obstruction for each of a plurality of objects shown in visual content, wherein the degree of obstruction for each object represents a degree to which the object will obstruct visibility by a vehicle capturing visual content in an environment where the vehicle is navigating and the plurality of objects are disposed; determining, for each of a plurality of operational points, a co-visibility of the vehicle at the operational point based on a pose of the vehicle at the operational point and the degree of obstruction for each of the objects which is within view of the vehicle at the operational point; and estimating a visual navigation performance at each of the operational points based on the co-visibility determined for the operational point.

Abstract: A system and method for environmental parameter mapping. A method includes adding at least one entry to a mapping data structure, wherein each entry includes a position of a robotic device and at least one corresponding environmental parameter for the respective position of the robotic device, wherein each environmental parameter of each entry indicates an attribute of an environment at the corresponding position and is based on at least one sensor signal captured at the corresponding position; and sending at least one command to the robotic device, wherein the at least one command is determined based on the mapping data structure and includes at least one command to navigate.

Abstract: Systems and methods for optimizing sensory signal capturing by reconfiguring robotic device configurations. A method includes determining at least one predicted future sensor reading for a robotic device based on navigation path data of the robotic device, wherein the robotic device is deployed with at least one sensor, wherein each predicted future sensor reading is an expected value of a future sensory signal; determining an optimized sensor configuration based on the at least one predicted future sensor reading, wherein the optimized sensor configuration optimizes capturing of sensor signals by the at least one sensor; and reconfiguring the at least one sensor based on the optimized sensor configuration, wherein reconfiguring the at least one sensor further comprises modifying at least one sensor parameter of the at least one sensor based on the optimized sensor configuration.

Abstract: A system and method for environmental parameter mapping. A method includes adding at least one entry to a mapping data structure, wherein each entry includes a position of a robotic device and at least one corresponding environmental parameter for the respective position of the robotic device, wherein each environmental parameter of each entry indicates an attribute of an environment at the corresponding position and is based on at least one sensor signal captured at the corresponding position; and sending at least one command to the robotic device, wherein the at least one command is determined based on the mapping data structure and includes at least one command to navigate.

Abstract: Apparatuses, methods and storage media associated with surface traversing by robotic apparatuses with an obstacle detection system are described herein. In some instances, the obstacle detection system is mounted on the body of the apparatus, and includes one or more light sources, to illuminate the surface to be traversed; a camera, to capture one or more images of the illuminated surface; and a processing device coupled with the camera and the light source, to process the captured one or more images, to detect, or cause to be detected, an obstacle disposed on the illuminated surface, based at least in part on a result of the processing of the images. Other embodiments may be described and claimed.

Abstract: Systems and methods for monitoring movements. A method includes detecting motion based on first localization data related to a localization device moving in a distinct motion pattern, wherein the first localization data is based on sensor readings captured by at least one sensor; correlating the detected motion to a known motion of the localization device based on respective times of the first localization data and of the localization device; localizing the localization device with respect to a map based on the correlation; tracking at least one first location of an object based on second localization data captured by the at least one sensor, wherein the at least one first location is on the map, wherein the tracking further comprises identifying at least one second location of the object based on the second localization data and determining the at least one first location based on the at least one second location.

Abstract: Systems and methods for monitoring movements. A method includes detecting motion based on first localization data related to a localization device moving in a distinct motion pattern, wherein the first localization data is based on sensor readings captured by at least one sensor; correlating the detected motion to a known motion of the localization device based on respective times of the first localization data and of the localization device; localizing the localization device with respect to a map based on the correlation; tracking at least one first location of an object based on second localization data captured by the at least one sensor, wherein the at least one first location is on the map, wherein the tracking further comprises identifying at least one second location of the object based on the second localization data and determining the at least one first location based on the at least one second location.

Abstract: Systems and methods for optimizing sensory signal capturing by reconfiguring robotic device configurations. A method includes determining at least one predicted future sensor reading for a robotic device based on navigation path data of the robotic device, wherein the robotic device is deployed with at least one sensor, wherein each predicted future sensor reading is an expected value of a future sensory signal; determining an optimized sensor configuration based on the at least one predicted future sensor reading, wherein the optimized sensor configuration optimizes capturing of sensor signals by the at least one sensor; and reconfiguring the at least one sensor based on the optimized sensor configuration, wherein reconfiguring the at least one sensor further comprises modifying at least one sensor parameter of the at least one sensor based on the optimized sensor configuration.

Abstract: A system and method for perimeter detection. A method includes exploring an area defined by a first boundary, wherein the exploration includes causing a robotic device to navigate and capture sensor signals within the area defined by the first boundary; determining a second boundary based on the sensor signals captured during the exploration, wherein the second boundary defines an outermost area for actions by a robotic device; and causing the robotic device to perform actions within the first boundary and along the second boundary.

Abstract: Apparatuses, methods and storage media associated with an environment recognition system using SLAM pipeline with semantic segmentation are described herein. In some instances, the system is mounted on the body of the robotic apparatus, and includes one or more light sources, to illuminate a portion of an environment that surrounds the apparatus; a camera, to capture one or more images of the illuminated portion of the environment; and a processing device coupled with the camera and the light sources, to process the captured images, using semantic segmentation of the images applied in a SLAM pipeline. The processing is used to identify a position of the body of the apparatus, and/or a position of one or more objects disposed in the illuminated portion of the environment, based at least in part on a result of the processing of the one or more images. Other embodiments may be described and claimed.

Abstract: Systems and methods for optimizing sensory signal capturing by reconfiguring robotic device configurations. In an implementation, upcoming sensor readings are predicted based on navigation path data. Based on the predicted sensor readings, optimized sensor parameters that will improve the quality of resulting sensory signals are determined. Sensors of a robotic device are reconfigured based on the optimized sensor parameters. In another implementation, deficiencies in sensory signals are determined. A motion configuration of a robotic device is optimized based on the deficiencies to allow for capturing better quality sensory signals.

Abstract: A method of deriving one or more individual thoracic parameters of a subject. The method comprises instructing a subject to perform a thoracic volume manipulation, receiving a plurality of measurements of a plurality of EM signals from a thoracic intrabody area of lungs of the subject during the thoracic volume manipulation, deriving a plurality of thoracic volume values at a plurality of different intervals during the thoracic volume manipulation so that each the thoracic volume value correspond with another of a plurality of estimated thoracic volumes achieved during the thoracic volume manipulation, and calculating at least one individual thoracic parameter of the subject by combining between the plurality of measurements and the plurality of thoracic volume values.

Abstract: Systems and methods for providing geometric interactions via three-dimensional mapping. A method includes determining a plurality of first descriptors for a plurality of key points in a plurality of first images, wherein each first image shows a portion of a 3D environment in which a robotic device and a visual sensor are deployed; generating a 3D map of the 3D environment based on the plurality of key points and the plurality of descriptors; determining a pose of the visual sensor based on at least one second descriptor and the plurality of first descriptors, wherein the second image is captured by the visual sensor; and determining a target action location based on at least one user input made with respect to a display of the second image and the pose of the visual sensor, wherein the target action location is a location within the 3D environment.

Abstract: Systems and methods for optimizing sensory signal capturing by reconfiguring robotic device configurations. In an implementation, upcoming sensor readings are predicted based on navigation path data. Based on the predicted sensor readings, optimized sensor parameters that will improve the quality of resulting sensory signals are determined. Sensors of a robotic device are reconfigured based on the optimized sensor parameters. In another implementation, deficiencies in sensory signals are determined. A motion configuration of a robotic device is optimized based on the deficiencies to allow for capturing better quality sensory signals.

Abstract: An illumination marker includes a light source and an optical attenuation cover coupled to the light source. The optical attenuation cover is configured to attenuate an intensity of light that passes through the optical attenuation cover based on a length of an optical path of the light through the optical attenuation cover. In some embodiments, the optical attenuation cover may be embodied as a physical barrier cover and include light-blocking structures. Additionally, in some embodiments, the illumination maker may include a diffusive or retro-reflective core rather than the light source.

Abstract: Apparatuses, methods and storage media associated with surface traversing by robotic apparatuses with an obstacle detection system are described herein. In some instances, the obstacle detection system is mounted on the body of the apparatus, and includes one or more light sources, to illuminate the surface to be traversed; a camera, to capture one or more images of the illuminated surface; and a processing device coupled with the camera and the light source, to process the captured one or more images, to detect, or cause to be detected, an obstacle disposed on the illuminated surface, based at least in part on a result of the processing of the images. Other embodiments may be described and claimed.

Abstract: Systems and methods for monitoring movements. A method includes detecting motion based on first localization data related to a localization device moving in a distinct motion pattern, wherein the first localization data is based on sensor readings captured by at least one sensor; correlating the detected motion to a known motion of the localization device based on respective times of the first localization data and of the localization device; localizing the localization device with respect to a map based on the correlation; tracking at least one first location of an object based on second localization data captured by the at least one sensor, wherein the at least one first location is on the map, wherein the tracking further comprises identifying at least one second location of the object based on the second localization data and determining the at least one first location based on the at least one second location.

Abstract: Apparatuses, methods and storage media associated with surface traversing by robotic apparatuses using capacitive sensing are described herein. In some instances, the apparatus comprises a body having at least one edge that faces a direction of traverse of a surface by the apparatus, and at least one capacitive probe disposed on or in proximity to the edge, to detect, during the traverse of the surface, a change in a dielectric property of a portion of the surface proximate to the edge. The dielectric property change indicates an obstacle associated with the surface portion. The apparatus further comprises circuitry configured to process the readings provided by the probe, such as to identify the obstacle, and generate instructions to adjust the traversing of the surface by the apparatus, based at least in part on a result of the probe readings processing. Other embodiments may be described and claimed.

Abstract: An illumination marker includes a light source and an optical attenuation cover coupled to the light source. The optical attenuation cover is configured to attenuate an intensity of light that passes through the optical attenuation cover based on a length of an optical path of the light through the optical attenuation cover. In some embodiments, the optical attenuation cover may be embodied as a physical barrier cover and include light-blocking structures. Additionally, in some embodiments, the illumination maker may include a diffusive or retro-reflective core rather than the light source.

Abstract: Apparatuses, methods and storage media associated with surface traversing by robotic apparatuses using capacitive sensing are described herein. In some instances, the apparatus comprises a body having at least one edge that faces a direction of traverse of a surface by the apparatus, and at least one capacitive probe disposed on or in proximity to the edge, to detect, during the traverse of the surface, a change in a dielectric property of a portion of the surface proximate to the edge. The dielectric property change indicates an obstacle associated with the surface portion. The apparatus further comprises circuitry configured to process the readings provided by the probe, such as to identify the obstacle, and generate instructions to adjust the traversing of the surface by the apparatus, based at least in part on a result of the probe readings processing. Other embodiments may be described and claimed.