Provided is a system for robotic collaboration, including a first robotic chassis including a memory storing instructions that when executed a processor effectuates operations including capturing data of an environment and data indicative of movement, generating a first map of the environment based on the captured data, and the robot executing a first part of a task. The system also includes a second robot including a memory storing instructions that when executed by a processor effectuates operations including capturing data of an environment and the second robot executing a second part of the task after the first robot completes the first part of the task, the completion of the first part of the task being indicated by a signal received with the processor of the second robot.

The method can include: optionally determining an aircraft state; determining a transition event; verifying an aircraft configuration; determining an aircraft alert state; and performing an action. However, the method can additionally or alternatively include any other suitable elements. The method functions to facilitate configuration checking and/or validation of configuration changes. Additionally or alternatively, the method can function to facilitate human-in-the-loop operation of a semi-autonomous aircraft (e.g., with an autonomous agent fulfilling the roles of one pilot of a multi-pilot aircraft). Additionally or alternatively, the method can function to autonomously respond to inconsistencies or failures associated with aircraft configuration changes.

The method can include: optionally determining an aircraft state; determining a transition event; verifying an aircraft configuration; determining an aircraft alert state; and performing an action. However, the method can additionally or alternatively include any other suitable elements. The method functions to facilitate configuration checking and/or validation of configuration changes. Additionally or alternatively, the method can function to facilitate human-in-the-loop operation of a semi-autonomous aircraft (e.g., with an autonomous agent fulfilling the roles of one pilot of a multi-pilot aircraft). Additionally or alternatively, the method can function to autonomously respond to inconsistencies or failures associated with aircraft configuration changes.

Provided is a control method, system and apparatus for drone inspection of a chemical production plant, relating to the field of chemical fiber intelligent technology. The control method includes: determining a first drone for performing a preset inspection task in a target scene, wherein the first drone is responsible for the preset inspection task of the chemical production plant; obtaining data of a target object collected by the first drone in the target scene; determining a state of the target object in the target scene based on the data of the target object; and outputting prompt information matching a preset state in the target scene when the state represents that the target object is in the preset state of the target scene.

Provided is a control method, system and apparatus for drone inspection of a chemical production plant, relating to the field of chemical fiber intelligent technology. The control method includes: determining a first drone for performing a preset inspection task in a target scene, wherein the first drone is responsible for the preset inspection task of the chemical production plant; obtaining data of a target object collected by the first drone in the target scene; determining a state of the target object in the target scene based on the data of the target object; and outputting prompt information matching a preset state in the target scene when the state represents that the target object is in the preset state of the target scene.

An electronic apparatus including: a speaker; a microphone; and at least one processor, wherein the at least one processor is configured to identify a candidate region having a critical area or more area than the critical area in map data related to a space where the electronic apparatus is located, move the electronic apparatus to a representative location of the candidate region and output an audio signal through the speaker, acquire a reverberation time of the audio signal at a plurality of locations including the representative location in the candidate region based on a recorded audio signal corresponding to the audio signal and acquired through the microphone, and identify, as a target location, a location from which a longest reverberation time is acquired among the plurality of locations.

An electronic apparatus including: a speaker; a microphone; and at least one processor, wherein the at least one processor is configured to identify a candidate region having a critical area or more area than the critical area in map data related to a space where the electronic apparatus is located, move the electronic apparatus to a representative location of the candidate region and output an audio signal through the speaker, acquire a reverberation time of the audio signal at a plurality of locations including the representative location in the candidate region based on a recorded audio signal corresponding to the audio signal and acquired through the microphone, and identify, as a target location, a location from which a longest reverberation time is acquired among the plurality of locations.

A paraglider controller for controlling a paraglider drive, in particular an electric ascent aid, for a paraglider. The paraglider controller comprises a UI connection interface for sending and/or receiving user commands comprising a voice signal. Optionally, the ascent aid control further comprises a flight data interface for receiving flight data. Furthermore, the ascent aid control comprises an evaluation unit for evaluating received user commands and optionally flight data, wherein a user signal is output via the UI connection interface and/or a control signal is output via a control interface. An input and/or an output of user commands is thereby carried out using the UI connection interface by means of the speech signal.

A paraglider controller for controlling a paraglider drive, in particular an electric ascent aid, for a paraglider. The paraglider controller comprises a UI connection interface for sending and/or receiving user commands comprising a voice signal. Optionally, the ascent aid control further comprises a flight data interface for receiving flight data. Furthermore, the ascent aid control comprises an evaluation unit for evaluating received user commands and optionally flight data, wherein a user signal is output via the UI connection interface and/or a control signal is output via a control interface. An input and/or an output of user commands is thereby carried out using the UI connection interface by means of the speech signal.

A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.