This invention relates to an autonomous snow removal machine for residential use. The machine is created by converting a manually operated snowblower to electric operation using motors, sensors, and a small computer. Key functions like wheel movement, chute control, and auger engagement are now powered by electric motors, while the auger rotation remains driven by the original gas engine or electric motor. Onboard sensors provide data to the control computer, enabling autonomous snow clearing within a defined area. The user interacts with the machine through a smartphone application to define the clearing zone and initiate the autonomous process. The machine can be operated manually when required by disengaging the clutch mechanism at the wheels and other electric motors.

Provided are a smart snow removal method and equipment, and a snow removal robot. Based on GPS-RTK localization technology, latitude and longitude coordinates of a target snow throwing area and a target snow removal area are acquired, and a snow removal map is generated. Grid processing is performed on the snow removal map. Potential-field processing is performed on the snow removal map by: taking a grid located in the target snow throwing area as a starting point, and assigning, based on a breadth-first search algorithm, to grids located in the target snow removal area potential energy values in a manner of spreading outward. The snow removal robot is controlled to travel grid by grid from an uncleared grid whose potential energy value is currently the largest, and the snow removal operation is performed on an arrived grid, until the snow removal robot travels to the target snow throwing area.

A robot for clearing snow has a main body; a traction arrangement enabling motion of the robot on snow lying on a roof; a snow-removal device; and at least one depth sensor. A processing and control unit controls at least one motor to direct the robot to follow a snow-clearing path; receives a depth signal from the depth sensor(s); and, as a function of the depth signal, actively controls a snow-clearing depth by actuating the snow-removal device and, as the robot follows the snow-clearing path, adjusting a vertical snow-clearing distance so as to leave a layer of snow of a pre-determined depth on the roof after clearing and to prevent contact by the snow-removal device with a surface of the roof. During snow removal, no part of the snow-removal device contacts the roof surface other than at most the traction arrangement.

Disclosed are a path planning method, a device and an automatic snow sweeper. The method includes the following steps: acquiring a snow throwing site and a current position of an automatic snow sweeper in a snow sweeping map; determining a snow throwing direction of the automatic snow sweeper based on the snow throwing site and the current position; planning a snow sweeping path conforming to a preset rule in the snow sweeping map based on the snow throwing direction; and controlling the automatic snow sweeper to move based on the snow sweeping path.

The application relates to an obstacle avoidance system, a snow blower and an obstacle avoidance control method. The obstacle avoidance system is used for snow blower, including a contact detection device, a remote sensing detection device and a control device. The remote sensing detection device is arranged at a side of the robot body facing a forward direction of snow blower. The control device is arranged on the robot body and used for controlling the snow blower to adjust a motion path according to detection signals of the contact detection device and remote sensing detection device. The obstacle avoidance system includes two detection devices, in which the contact detection device transmits detection information to the control device according to the change of physical structure and shape of the obstacle. This is more straightforward and specific, and it can protect the robot body's structure.

Provided is an information-processing device in a system in which each of a plurality of moving bodies travels on each of a plurality of substantially parallel travel routes, the information-processing device comprising: a processing unit that, on the basis of the positions of terminals installed in the moving bodies, determines whether or not the distance between the terminals mounted on the moving bodies traveling on adjacent routes is within a specific distance range, and generates an alarm-issuing signal for issuing an alarm upon determining that the distance is outside of the specific distance range; and a communication unit that transmits the alarm-issuing signal to a management terminal that manages the traveling of the moving bodies.

A control method of a garden tool includes arranging a target marker as a positioning marker in a satellite navigation shadowed area in a working area of the garden tool, the garden tool is positioned based on a satellite navigation signal and a working area map in an area with reliable satellite signals outside the satellite navigation shadowed area. In the satellite navigation shadowed area, the garden tool is positioned through identifying the target marker in the satellite navigation shadowed area by an identification scanning module, thereby improving working efficiency of the garden tool in the satellite navigation shadowed area.

Disclosed is a smart snow removal method, applied to a snow removal robot. The method includes: obtaining, through global positioning system real-time kinematic (GPS-RTK) positioning technology, a latitude and longitude coordinates of a target snow throwing area and a target snow removal area, to generate a snow removal map; rasterizing the snow removal map; converting the snow removal map into a potential field: starting from a grid located in the target snow throwing area, and assigning, through a breadth-first search (BFS) algorithm, a potential energy value to the grid located in the target snow removal area in an outward diffusion manner; wherein the potential energy value increases with an increase in a number of diffusion layers; and controlling the snow removal robot to travel on an uncleaned grid with a highest current potential energy value one by one, and performing the snow removal operation on an arrived grid.

A method for navigating an unmanned ground vehicle (UGV) includes obtaining, by a sensor spaced apart from the UGV and at least temporarily fixed relative to a stretch of land on which the UGV is to operate, a three-dimensional map of the stretch of land. A navigation signal is generated based on the three-dimensional map and a user-specified task. The navigation signal is transmitted to a controller operatively coupled to the UGV, and configured to receive a navigation signal and operate the UGV in accordance with the navigation signal.