A robot control device, which causes a robot mounted on a transport vehicle to be stopped on the basis of an external force applied to the robot, is equipped with a determination unit configured to determine whether or not the transport vehicle is currently traveling, and a control unit configured to cause the robot to be stopped in the case that the transport vehicle is currently traveling, and to enable the robot to be operated in the case that the transport vehicle is not currently traveling.

An autonomous power trowel includes a frame supported by at least one rotor having a plurality of troweling blades, at least one power source for selectively rotating the rotor to finish an upper surface of the concrete, at least one actuator onboard the frame for selectively tilting the rotor, and a communication system onboard the frame for communicating with at least one remote communication device. Also included are a plurality of sensors onboard the frame for sensing exterior boundaries of the concrete, and at least one inspection camera for viewing the upper surface of the concrete. A controller onboard the frame is configured to selectively operate the power source, to selectively operate the actuator, to receive communications from the remote communication device, to receive signals from the sensors, and to receive signals from the inspection camera to detect any surface blemish in the concrete.

A robot system includes a mobile robot provided with a driving wheel and a driving motor, a load cell provided in the mobile robot, a spring connected to the load cell, an auxiliary wheel connected to the spring, and a controller configured to change a speed of the driving motor according to a sensing value of the load cell.

Described herein are systems, devices, and methods for validating location of a docking station for docking a mobile robot. In an example, a mobile robot system includes a docking station and a mobile cleaning robot. The mobile cleaning robot includes a drive system to move the mobile cleaning robot about an environment including a docking area within a distance of the docking station, and a controller circuit to detect, from an image of the docking area, a presence or absence of one or more obstacles in the docking area. A notification may be generated to inform a user about the detected obstacles. The mobile device may generate a recommendation to the user to clear the docking area or reposition the docking station, or suggest one or more candidate locations for placing the docking station.

This application discloses a cleaning control method applied to be executed by a cleaning robot used with a base station when cleans an unknown area to be cleaned. The method includes: obtaining an area map representing an area to be cleaned or a sub-area to be cleaned which is an uncleaned area in the area to be cleaned; determining a first cleaning starting point of the area to be cleaned or the sub-area to be cleaned based on the area map, the first cleaning starting point being a point on an edge of the area to be cleaned or the sub-area to be cleaned opposite to the cleaning direction; and performing a cleaning operation on the area to be cleaned or the sub-area to be cleaned from the first cleaning starting point. A device, a cleaning robot and a storage medium are also disclosed.

Disclosed are systems and methods to determine path selection for automated industrial vehicles. A control system includes a control unit operatively connected to a vehicle engine. A location device is operatively connected to the control unit. A steering controller is operatively connected to the control unit and configured to automatically control the path of the vehicle. The control unit includes a path correction system configured to, determine a current vehicle path from location data received from the location device, determine if the current vehicle path is different from a first automatic path, establish a second automatic path, and send a signal to the steering controller to follow the second automatic path.

A self-driving cleaner includes a drive unit, a control circuit, a camera, a first sensor for detecting an object, and a second sensor for detecting a stuck state, and a third sensor for detecting a person. The control circuit is configured to (a) identify information about a target object which caused the stuck state, (b) receive information indicating whether the target object is to be cleaned, and (c) control the drive unit and a suction unit, when receiving information indicating that the target object is to be cleaned, to perform a first mode where a space excluding the target object is cleaned first and, thereafter, the target object is climbed if the person is not detected and perform a second mode where the target object is climbed first and, thereafter, the space excluding the target object is cleaned if the person is detected.

An autonomous coverage robot detection system includes an emitter configured to emit a directed beam, a detector configured to detect the directed beam and a controller configured to direct the robot in response to a signal detected by the detector. In some examples, the detection system detects a stasis condition of the robot. In some examples, the detection system detects a wall and can follow the wall in response to the detected signal.

A system includes an inspection robot having a plurality of input sensors, the plurality of input sensors distributed horizontally relative to an inspection surface and configured to provide inspection data of the inspection surface at selected horizontal positions; a controller, comprising: a position definition circuit structured to determine an inspection robot position of the inspection robot on the inspection surface; a data positioning circuit structured to interpret the inspection data, and to correlate the inspection data to the inspection robot position on the inspection surface; and wherein the data positioning circuit is further structured to determine position informed inspection data in response to the correlating of the inspection data with the inspection robot position.

A system is applied for calibrating a map data configured for a mobile platform to generate a calibration map after an impact, and includes a map-generating module, a positioning module, an impact-detecting module, an image-analyzing module, a coordinate-reconstructing module and a map data-calibrating module. The map-generating module generates a global map with a first coordinate system. The positioning module positions a mobile platform before the impact. The impact detecting module generates a reconstructing signal after the impact upon the mobile platform is detected. The image-analyzing module searches and analyzes an image of a feature object. The coordinate-reconstructing module re-establishes a second coordinate system, and the map data-calibrating module calibrates the global map to generate the calibration map after the impact.