Abstract: A method and apparatus for refurbishing an oscillating multi-tool blade (10) having a serrated forward end. The blade (10) is clamped to a support surface, a new serrated end is formed by cutting away an edge portion of the serrated end, the blade (10) is moved across a cutting direction so far as tips of teeth (12) of the new serrated end will be cut away during a following renewed cut, and the renewed cut is performed.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A method and a device for a motor vehicle of adapting safety mechanisms of a vehicle safety system. The method includes acquiring (s101) data to create a representation (113) of a current vehicle surrounding (110), comparing (s102) the created representation to pre-stored representations of vehicle surroundings, with a risk assessment measure (R) associated with it which stipulates whether to trigger the safety mechanism of the vehicle safety system. If there is correspondence between the created representation and one of the pre-stored representations; detecting (s103) a vehicle behavior associated with the current surrounding, and determining (s104), whether to adjust triggering of the safety mechanism associated with the at least one risk assessment measure of the pre-stored representation of the current vehicle surrounding for which there is a match with the created representation.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A method and a device for a motor vehicle of adapting safety mechanisms of a vehicle safety system. The method includes acquiring (s101) data to create a representation (113) of a current vehicle surrounding (110), comparing (s102) the created representation to pre-stored representations of vehicle surroundings, with a risk assessment measure (R) associated with it which stipulates whether to trigger the safety mechanism of the vehicle safety system. If there is correspondence between the created representation and one of the pre-stored representations; detecting (s103) a vehicle behavior associated with the current surrounding, and determining (s104), whether to adjust triggering of the safety mechanism associated with the at least one risk assessment measure of the pre-stored representation of the current vehicle surrounding for which there is a match with the created representation.

Abstract: Methods, articles of manufacture, and devices related to generating haptic feedback for point clouds are provided. A computing device receives depth data about an In-Contact environment. The computing device generates a point cloud from the depth data. The computing device determines a haptic interface point (HIP). The computing device determines a haptic interface point (HIP). The computing device determines a force vector between the HIP and point cloud. The computing device sends an indication of haptic feedback based on the force vector.

Abstract: Methods, articles of manufacture, and devices related to generating haptic feedback for point clouds are provided. A computing device receives depth data about an environment. The computing device generates a point cloud from the depth data. The computing device determines a haptic interface point (HIP). The computing device determines a haptic interface point (HIP). The computing device determines a force vector between the HIP and point cloud. The computing device sends an indication of haptic feedback based on the force vector.