A safety device according to the present disclosure includes a sensor that is attached to a self-propellable travel device or a robot provided to the travel device, is set with a given detection area on the basis of a position of the sensor, and detects an object existing within the given detection area. The safety device further includes a motion suppressing device that suppresses motions of the travel device and the robot, when the existence of the object within the given detection area is detected by the sensor, and an area changing device that changes the given detection area according to operating states of the travel device and the robot.

This application relates to an autonomously navigating robot. In one aspect, the robot includes an end effector configured to measure a person's body temperature and, when the body temperature exceeds a standard fever temperature, activate a chatbot to check symptoms of Covid-19. The robot may also include a manipulator configured to align the end effector with the person's forehead. The robot may further include a mobile robot configured to detect the person and move the end effector and the manipulator to a position where the person is located by performing autonomous navigation.

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation. In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.

A center of gravity of a robot device is estimated without utilization of a force sensor or the like. An information processing device including a center-of-gravity estimation unit that calculates, on the basis of torque applied to one or more joints included in each of a plurality of leg portions, reaction force applied from a ground contact surface to each of the plurality of leg portions, and that estimates a center of gravity of a robot device including the plurality of leg portions on the basis of the calculated reaction force on the plurality of leg portions.

A robot system includes a mobile robot configured to move, a portable teaching device including a display section configured to display information, the portable teaching device teaching the mobile robot, a first detecting section configured to detect a present position of the portable teaching device, a second detecting section configured to detect a present position of the mobile robot, and a display control section configured to cause, based on a detection result of the first detecting section and a detection result of the second detecting section, the display section to display the present position of the portable teaching device and the present position of the mobile robot.

A robot system includes a robot, a vision sensor, a target position generation circuit, an estimation circuit, and a control circuit. The robot includes an end effector and is configured to work via the end effector on a workpiece which is disposed at a relative position and which is relatively movable with respect to the end effector. The vision sensor is configured to take an image of the workpiece. The target position generation circuit is configured to, based on the image, generate a target position of the end effector at every generation interval. The estimation circuit is configured to, at least based on relative position information related to the relative position, estimate a change amount in the relative position at every estimation interval. The control circuit is configured to control the robot to move the end effector based on the target position and the change amount.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

A modular robotic kitchen system is conveniently adaptable to perform a wide range of cooking applications. The modular robotic kitchen system can include a plurality of discrete modular units organized in a small footprint such that multiple types of cooking applications can be performed without a need to replace the modular units. Exemplary modular units include an ingredient module, robotic arm module, assembly and packaging module, and warming module. Optionally a transport unit or sled moves the modules into position. The modular kitchen system includes a central processor operable to carry out different cooking applications upon downloading software corresponding to the specific cooking application and without retooling the existing modules. Related methods are also described.

In order to allow for the mounting of two transported objects without increasing the width of a transport vehicle, a mobile manipulator (1) is provided with: an unmanned transport vehicle (2); a robot base portion (3) mounted on the unmanned transport vehicle; a robot arm (4) mounted on the robot base portion; and brackets (5), (6) for mounting cassettes (11) over the robot base portion. The bracket (5) holds the cassettes in an inclined state, and a part of the bracket (6) overlaps the bracket (5) in plan view.

An apparatus for efficient targeting or removal of weeds or other plants. The apparatus may include a vehicle having a frame, a motor and a plurality of ground engaging members adapted to propel the vehicle over a surface. It may also include a robotic arm comprising a distal portion and a proximal portion coupled to the frame, and an implement, such as a tool or hoe connected to the distal portion of the robotic arm. The implement can be raised and lowered, and also moved relative to the surface by the robotic arm by pivoting or rotating the robotic arm at or near the proximal portion.