A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

An automatically moving floor treatment appliance has an appliance housing, a drive, a detector for detecting surrounding area features, and a computer that transmits control commands to the drive, based on the surrounding area features detected by the detector. The detector has a plurality of inner and outer fall sensors arranged on an underside of the appliance housing, which detect a distance of the floor treatment appliance from the surface. The computer controls the drive to change a movement of the floor treatment appliance when the distance detected by the fall sensor is greater than a threshold value defining a slope. The fall sensors are interconnected in an evaluation circuit of the detection means so that the detection signals of the totality of inner fall sensors can be evaluated independently of the detection signals of the totality of outer fall sensors.

An automatically moving floor treatment appliance has an appliance housing, a drive, a detector for detecting surrounding area features, and a computer that transmits control commands to the drive, based on the surrounding area features detected by the detector. The detector has a plurality of inner and outer fall sensors arranged on an underside of the appliance housing, which detect a distance of the floor treatment appliance from the surface. The computer controls the drive to change a movement of the floor treatment appliance when the distance detected by the fall sensor is greater than a threshold value defining a slope. The fall sensors are interconnected in an evaluation circuit of the detection means so that the detection signals of the totality of inner fall sensors can be evaluated independently of the detection signals of the totality of outer fall sensors.

An autonomous cleaning robot includes a controller configured to execute instructions to perform operations including moving the autonomous cleaning robot along a first portion of a path toward a waypoint, detecting, with a ranging sensor of the autonomous cleaning robot, an obstacle along the path between the first portion of the path and a second portion of the path, navigating the autonomous cleaning robot about the obstacle along a trajectory that maintains at least a clearance distance between the autonomous cleaning robot and the obstacle, and moving the autonomous cleaning robot along the second portion of the path.

Improved mobile robots and systems and methods thereof, described herein, can enhance security and monitoring services of grounds and property. And, such mobile robots and systems and methods thereof can enhance policing as well as customer service and help desk functionality. In some embodiments, the mobile robots and systems and methods thereof can enhance exploration, such as space exploration.

Improved mobile robots and systems and methods thereof, described herein, can enhance security and monitoring services of grounds and property. And, such mobile robots and systems and methods thereof can enhance policing as well as customer service and help desk functionality. In some embodiments, the mobile robots and systems and methods thereof can enhance exploration, such as space exploration.

A ray is cast into a volume described by a volumetric data structure, which describes the volume at a plurality of levels of detail. A first entry in the volumetric data structure includes a first set of bits representing voxels at a lowest one of the plurality of levels of detail, and values of the first set of bits indicate whether a corresponding one of the voxels is at least partially occupied by respective geometry. A set of second entries in the volumetric data structure describe voxels at a second level of detail, which represent subvolumes of the voxels at the first lowest level of detail. The ray is determined to pass through a particular subset of the voxels at the first level of detail and at least a particular one of the particular subset of voxels is determined to be occupied by geometry.

Systems and methods are provided for navigating a host vehicle. A 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 travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking profile, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking profile and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

The technology relates to controlling a vehicle in an autonomous driving mode. In one instance, sensor data identifying an object in an environment of the vehicle may be received. A first path of a first trajectory where the vehicle will pass the object may be determined. A function is used to determining a first maximum speed of the vehicle based on a predetermined minimum lateral clearance between the object and the vehicle. The first maximum speed may be used to determine whether an actual lateral clearance between the object and the vehicle will meet the predetermined minimum lateral clearance. The determination of whether the actual lateral clearance will meet the predetermined minimum lateral clearance may be used to generate a first speed plan for the first trajectory. The vehicle may be controlled in the autonomous driving mode according to the first trajectory including the first speed plan and the first path.