Provided is a robot and method of controlling same, where the robot includes: a sensor; a driver; a memory storing an instruction; and a processor configured to execute the instruction to: identify, through the sensor, a height difference between a first stair and a second stair of an escalator, identify whether the robot is adjacent to a disembarkment area of the escalator based on the identified height difference, based on identifying that the robot is adjacent to the disembarkment area, identify, through the sensor, whether an object is located within a first distance of the robot in a movement direction of the escalator, and based on identifying the object located within the first distance of the robot in the movement direction of the escalator, control the driver to cause the robot to move on the escalator in a direction opposite to the movement direction of the escalator.

A semantic sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic.

One technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying one or more subject faces corresponding to one or more social network users identified in the social graph information; and capturing an image including the one or more subject faces based on the capture instructions. Another technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying geographic locations of one or more social network users identified in the social graph information; and capturing an image at a geographic location of the geographic locations included in the capture instructions.

A system includes a robotic surgical system and an autonomous vehicle. The robotic surgical system includes a surgical tool. The autonomous vehicle is configured to remove the surgical tool from the robotic surgical system.

Provided is a robot and method of controlling same, where the robot includes: a sensor; a driver; a memory storing an instruction; and a processor configured to execute the instruction to: identify, through the sensor, a height difference between a first stair and a second stair of an escalator, identify whether the robot is adjacent to a disembarkment area of the escalator based on the identified height difference, based on identifying that the robot is adjacent to the disembarkment area, identify, through the sensor, whether an object is located within a first distance of the robot in a movement direction of the escalator, and based on identifying the object located within the first distance of the robot in the movement direction of the escalator, control the driver to cause the robot to move on the escalator in a direction opposite to the movement direction of the escalator.

The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

A robot that is mobile and includes: a controller that controls the robot; and an action unit that performs an action based on an instruction from the controller. The controller causes the action unit to perform a preliminary action before the robot starts to move in a place where the robot and a person are present together.

A flux sensing system includes a processor, a memory, and a sensor. The memory stores at least one semantic profile having a first preference setting, a second preference setting, and a third preference setting in which the first preference setting is associated with a first object, the second preference setting is associated with a second object and the third preference setting is associated with a semantic group including the first object and the second object. The processor infers a semantic associated with a third object, the inferred semantic being based on one or more inputs from the sensor. The processor further detects the presence of the first object and the second object based on inputs from the sensor, and applies or does not apply preference settings based on detected object presence and inferences of the semantic group.

A semantic sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic.

A computer-implemented method and apparatus to recover travel of a service robot, the method comprising: detecting a travel impediment relating to a first travel path to a destination for the service robot; responsive to detecting the travel impediment relating to the first travel path to the destination, determining that the service robot is delocalized by performing a comparison between a first pose estimate for the service robot and a second pose estimate for the service robot; responsive to determining that the service robot is delocalized, performing a relocalization operation of the service robot; and responsive to performing the relocalization operation of the service robot, initiating a second travel path to the destination.