A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

An autonomous traveling apparatus includes a traveling body. The traveling body includes a first wheel portion and a second wheel portion each provided along a traveling direction of the autonomous traveling apparatus in the traveling body with a predetermined space being interposed between the first wheel portion and the second wheel portion. The second wheel portion has a pair of wheels. The autonomous traveling apparatus further includes a laser sensor. The laser sensor is configured to detect an object around the laser sensor, and is provided on the traveling body to avoid a portion above each of the pair of wheels such that a scanning plane is lower than a maximum reach point of a range of an upward/downward movement of each of the pair of wheels, the scanning plane being a range in which the laser light passes while rotating the laser light.

According to an embodiment of the present disclosure, a mobile robot may include an outer cover including an insulating material and defining an appearance; an inner cover including an insulating material and configured to define a predetermined gap with respect to the outer cover; a battery disposed inside the inner cover; and at least one pressure sensing module disposed in the gap between the outer cover and the inner cover. The pressure sensing module may include an outer metal panel contacting an inner periphery of the outer cover, an inner metal panel contacting an outer periphery of the inner cover and spaced apart from the outer metal panel, and a pressure sensing sheet pressed between the outer metal panel and the inner metal panel and having a variable resistance. The battery may generate an electric potential difference between the outer metal panel and the inner metal panel.

An unmanned aerial vehicle (UAV) control method includes obtaining target flight data and current flight data; determining a control state variable based on the target flight data and the current flight data; and calibrating a center of gravity of the UAV based on the control state variable.

Disclosed are a method and apparatus for detecting a near-field object, a medium and an electronic device. In the present disclosure, the characteristics of an automatic exposure apparatus before and after light supplement of a light supplement lamp are used, two images are shot in the same direction before and after light supplement of the light supplement lamp, and whether the near-field object exists is determined through comparison of the two images. Without adding additional apparatuses, the task of discovering the near-field objects by a self-walking device is completed by using the existing apparatus, and the collision between the self-walking device and the near-field object is avoided.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

This application discloses a self-moving device, a method for adjusting a movement trajectory. The device includes a body, an image acquisition module, and a control circuit. The image acquisition module acquires an image in a traveling direction of the body. The control circuit fits, according to the image, a boundary corresponding to a working region in which the self-moving device is located. In response to the body moves toward the boundary and the body and the boundary meet a preset distance relationship, an angle relationship between the traveling direction of the body and the boundary is recognized according to the image, and the body is controlled to steer.

An autonomous mobile vehicle for loading and unloading goods in an environmental field, and a guidance and obstacle avoidance method are provided. The autonomous mobile vehicle includes a vehicle body, a first Lidar module, and a second Lidar module. The vehicle body is configured to carry goods, the first Lidar module is fixed on the vehicle body and the second Lidar module is selectively assembled on and disassembled from the vehicle body. When the second Lidar module is assembled on the vehicle body, the autonomous mobile vehicle uses the second Lidar module to establish a map of the environmental field. When the second Lidar module is disassembled from the vehicle body, the autonomous mobile vehicle is guided by using the first Lidar module according to the map, so as to perform an obstacle avoidance on a moving path of the autonomous mobile vehicle.

A system for dispatching and navigating an unmanned aerial vehicle (UAV) to a target location comprises a UAV and a navigation module comprising a processor and a memory storing a 3D map comprising the target location and machine-readable instructions such that, when executed by the navigation module processor, cause the processor to perform a method comprising identifying a location of the UAV with respect to the 3D map, receiving a target location input, identifying the target location with respect to the 3D map, generating at least one potential route connecting the location of the UAV and the target location, assigning to at least one potential route an evaluation score according to at least one route assessment criterion, selecting the potential route having the highest evaluation score as a preferred route, and transmitting the preferred route to the UAV.

An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.