A robot including a medium storing instructions that when executed by a processor of the robot effectuates operations including: capturing images of a workspace as the robot moves within the workspace; identifying at least one characteristic of an object captured in the images of the workspace; determining an object type of the object based on an object dictionary of different types of objects, wherein the different object types comprise at least a cord, clothing garments, a shoe, earphones, and pet bodily waste; and instructing the robot to execute at least one action based on the object type of the object, wherein the at least one action comprises avoiding the object or cleaning around the object.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state lateral distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a lateral braking distance for the host vehicle and the target vehicle based on a maximum yaw rate capability, a maximum change in turn radius capability, and a current lateral speed of the host vehicle and the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the lateral braking distances for the host vehicle and the target vehicle.

Disclosed is an electronic apparatus. The electronic apparatus includes: a camera; a memory configured to store attribute information and environment information; and a processor configured to identify a plurality of objects based on an image obtained by the camera, identify a first context of a first object, from among the plurality of objects, based on a relationship between attribute information of the plurality of objects and the environment information, and control a traveling state of the electronic apparatus based on the first context.

Disclosed is an electronic apparatus. The electronic apparatus includes: a camera; a memory configured to store attribute information and environment information; and a processor configured to identify a plurality of objects based on an image obtained by the camera, identify a first context of a first object, from among the plurality of objects, based on a relationship between attribute information of the plurality of objects and the environment information, and control a traveling state of the electronic apparatus based on the first context.

A route setting device is provided with a status confirmation part and a change route setting part. The status confirmation part receives, with respect to a work vehicle that is moving along a preset work route in a field, an instruction by which the work vehicle moves to a stop position not included in the work route, and acquires the position of the work vehicle. The change route setting part creates a change route along which the work vehicle moves to the stop position on the basis of the instruction. The starting point of the change route represents the position of the work vehicle at a time when a waiting time for change equaling or exceeding a delay time set on the basis of the processing time for creating the change route has elapsed after receiving the instruction.

A method for interactions during encounters between a mobile robot and an actor, a mobile robot configured for execution of delivery tasks in an outdoor environment, and a use of the mobile robot. The method comprises the mobile robot traveling on a pedestrian pathway; detecting an actor by the mobile robot via a sensor system; identifying a situation associated with the detected actor; in response to the identified situation, determining an action to execute by the mobile robot, and executing the determined action by the mobile robot. The mobile robot comprises a navigation component configured for at least partially autonomous navigation in an outdoor environment; a sensor system configured for collecting sensor data during an encounter between the mobile robot and an actor; a processing component configured to process the sensor data and output actions for the mobile robot to perform; and an output component configured for executing actions determined by the processing component.

An automated method for influencing a gust load of an aircraft is provided. A torque at least of an electromotive thrust generating unit arranged on a wing of the aircraft is modified such that a root bending torque of the wing generated by the gust load is reduced. An associated apparatus, an aircraft, a computer program product, and a computer-readable medium for carrying out the method are also provided.

Technologies for steering sensors in a sensor carrier structure on an autonomous vehicle (AV) are described herein. In some examples, a sensor positioning platform on an AV can include an actuator system including a motor configured to move and reposition a sensor carrier structure having a plurality of sensors; a motor controller configured to receive instructions for controlling the motor to reposition the sensor carrier structure and, based on the instructions, send to the motor control signals configured to control the motor to reposition the sensor carrier structure; one or more hoses arranged within tubes mounted to a portion of the actuator system and configured to output sensor cleaning substances through a thru-bore on the actuator system; and one or more cleaning systems configured to receive the sensor cleaning substances and spray the sensor cleaning substances on one or more sensors on the sensor carrier structure.

A method of detecting sensor malfunction in an automated guided vehicle, AGV, including for at least two different pairs of wheel units in a motion state of the AGV, calculating a motion value for at least one motion variable of a body of the AGV based on sensor data from a wheel sensors and/or a steering sensors; for at least one motion variable, calculating a difference between the motion values for at least two different pairs; and determining that there is a malfunction in one or more of the wheel sensors and the steering sensors if one of the at least one difference exceeds a threshold value associated with the respective motion variable.

An interactive autonomous robot is configured for deployment within a social environment. The disclosed robot includes a show subsystem configured to select between different in-character behaviors depending on robot status, thereby allowing the robot to appear in-character despite technical failures. The disclosed robot further includes a safety subsystem configured to intervene with in-character behavior when necessary to enforce safety protocols. The disclosed robot is also configured with a social subsystem that interprets social behaviors of humans and then initiates specific behavior sequences in response.