The present disclosure discloses a motion control method and apparatus for a legged robot, a legged robot, a computer-readable storage medium, and a computer program product. The legged robot includes at least two foot-ends. The method includes: receiving a bound instruction for the legged robot in response to the foot-ends of the legged robot standing in unit regions that are independent from one another, the bound instruction being used for instructing the legged robot to bound to a target unit region from at least two unit regions in which the legged robot is currently located; and controlling the legged robot to bound to the target unit region in response to the bound instruction, a distance between any two foot-ends of the legged robot in the target unit region being less than a distance between two corresponding foot-ends before bounding.

A system and method for animating and displaying images via a mobile robot. The mobile robot includes a screen and a processor wherein the processor executes computer readable commands, thereby displaying animations onto the screen. The method includes the steps of creating animations as GIF files, converting images into code, optimizing frame sequence, translating optimized frames into a C programming data structure, and displaying the optimized frames onto the screen of the mobile robot.

A system and method for animating and displaying images via a mobile robot. The mobile robot includes a screen and a processor wherein the processor executes computer readable commands, thereby displaying animations onto the screen. The method includes the steps of creating animations as GIF files, converting images into code, optimizing frame sequence, translating optimized frames into a C programming data structure, and displaying the optimized frames onto the screen of the mobile robot.

A system for assessing condition of materials. The system includes a scanning device including a scanning vehicle and one or more scanning sensors and a control device in electronic communication with the scanning device. The control device includes one or more processors and a memory containing processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to transmit instruction to the scanning vehicle to move with respect to a structure, transmit instructions to the one or more scanning sensors to capture data associated with one or more materials of the structure, receive sensor data from the one or more scanning sensors, and, based on the sensor data, determine a condition of each of the one or more materials of the structure.

A system for assessing condition of materials. The system includes a scanning device including a scanning vehicle and one or more scanning sensors and a control device in electronic communication with the scanning device. The control device includes one or more processors and a memory containing processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to transmit instruction to the scanning vehicle to move with respect to a structure, transmit instructions to the one or more scanning sensors to capture data associated with one or more materials of the structure, receive sensor data from the one or more scanning sensors, and, based on the sensor data, determine a condition of each of the one or more materials of the structure.

A control system for a powered lift aircraft includes a pilot input device, at least one powered lift element configured to provide powered lift support to the aircraft, and a processor. The processor is configured to receive, from the pilot input device, an input indicative of one of a powered lift enabled mode or a powered lift disabled mode and control the at least one powered lift element to operate the aircraft in a selected one of the powered lift enabled mode or the powered lift disabled mode based on the received input. When the aircraft is in the powered lift enabled mode, the at least one processor is configured to control the at least one powered lift element based on a state of the aircraft. When the aircraft is in the powered lift disabled mode, the at least one processor is configured to control the at least one powered lift element to disable powered lift.

A control system for a powered lift aircraft includes a pilot input device, at least one powered lift element configured to provide powered lift support to the aircraft, and a processor. The processor is configured to receive, from the pilot input device, an input indicative of one of a powered lift enabled mode or a powered lift disabled mode and control the at least one powered lift element to operate the aircraft in a selected one of the powered lift enabled mode or the powered lift disabled mode based on the received input. When the aircraft is in the powered lift enabled mode, the at least one processor is configured to control the at least one powered lift element based on a state of the aircraft. When the aircraft is in the powered lift disabled mode, the at least one processor is configured to control the at least one powered lift element to disable powered lift.

Provided herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for artificial intelligence in mobile autonomous robotics and autonomous mobile platforms. An example aspect operates by a method of using a general-purpose robotics operating system (GPROS) with generative pre-trained transformers (GPT) (GPROS-GPT) model. The method includes training the GPROS-GPT model and querying the GPROS-GPT model to generate GPROS configuration data and service extension files. The method further includes loading the configuration data and the service extension files into a GPROS-based application and using the GPROS-based application to operate a GPROS-based robot or a GPROS-based autonomous vehicle.

Provided herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for artificial intelligence in mobile autonomous robotics and autonomous mobile platforms. An example aspect operates by a method of using a general-purpose robotics operating system (GPROS) with generative pre-trained transformers (GPT) (GPROS-GPT) model. The method includes training the GPROS-GPT model and querying the GPROS-GPT model to generate GPROS configuration data and service extension files. The method further includes loading the configuration data and the service extension files into a GPROS-based application and using the GPROS-based application to operate a GPROS-based robot or a GPROS-based autonomous vehicle.

A navigation system useful for providing speed and heading and other navigational data to a drive system of a moving body, e.g., a vehicle body or a mobile robot, to navigate through a space. The navigation system integrates an inertial navigation system, e.g., a unit or system based on an inertial measurement unit (IMU). with a vision-based navigation system unit or system such that the inertial navigation system can provide real time navigation data and the vision-based navigation can provide periodic, but more accurate, navigation data that is used to correct the inertial navigation system's output. The navigation system was designed with the goal in mind of providing low effort integration of inertial and video data. The methods and devices used in the new navigation system address problems associated with high accuracy dead reckoning systems (such as a typical vision-based navigation system) and enhance performance with low cost IMUs.