Abstract: A cleaning system includes a self-driving cleaning robot and a charging station with a reference marker. The cleaning robot has an optical detection unit by way of which it detects the reference marker. The cleaning robot has a computing unit that is connected for communication purposes to the detection unit and a control unit for controlling the cleaning robot. The computing unit controls the approach of the cleaning robot to the charging station in a distance-dependent and in a detection-dependent manner using a histogram of oriented gradients and using the reference marker. A HOG method and a reference marker method can thus be used in combination for improved navigation.

Abstract: A cleaning system includes a self-driving cleaning robot and a charging station with a reference marker. The cleaning robot has an optical detection unit by way of which it detects the reference marker. The cleaning robot has a computing unit that is connected for communication purposes to the detection unit and a control unit for controlling the cleaning robot. The computing unit controls the approach of the cleaning robot to the charging station in a distance-dependent and in a detection-dependent manner using a histogram of oriented gradients and using the reference marker. A HOG method and a reference marker method can thus be used in combination for improved navigation.

Abstract: A method for bypassing impassable objects by a robot through the use of artificial intelligence. A reliable and low-cost bypassing of obstacles taking account of data privacy aspects is achieved in that in the event of a collision of the robot with an obstacle, an optical original recording of the obstacle is produced, artificial duplicates being generated from the original recording, the duplicates being used to train the artificial intelligence. A system has a robot and an IT infrastructure configured to execute the method.

Abstract: A method of detecting kickback during operation of a saw includes identifying with a controller in a saw a measured rotational speed of a rotating blade in the saw with reference to signals from a rotational rate sensor, identifying with the controller an estimated rotational speed of the rotating blade in the saw with reference to the measured rotational speed, at least one previously measured rotational speed, and a measurement of a previous change in rotational speed of the rotating blade, identifying with the controller an estimated torque force for a drive shaft of a motor in the saw that rotates the blade with reference to the measured rotational speed, and activating with the controller a blade arrest mechanism in response to a difference between the measured rotational speed and the estimated rotational speed exceeding a first threshold and the estimated torque force exceeding a second threshold.

Abstract: A method of detecting kickback during operation of a saw includes identifying with a controller in a saw a measured rotational speed of a rotating blade in the saw with reference to signals from a rotational rate sensor, identifying with the controller an estimated rotational speed of the rotating blade in the saw with reference to the measured rotational speed, at least one previously measured rotational speed, and a measurement of a previous change in rotational speed of the rotating blade, identifying with the controller an estimated torque force for a drive shaft of a motor in the saw that rotates the blade with reference to the measured rotational speed, and activating with the controller a blade arrest mechanism in response to a difference between the measured rotational speed and the estimated rotational speed exceeding a first threshold and the estimated torque force exceeding a second threshold.