Abstract: The present invention provides a non-destructive testing and cleaning apparatus. The present invention provides a remotely operated vehicle (ROV) that inspects and cleans a surface. The remotely operated vehicle (ROV) is an intelligent robotic vehicle that inspects and cleans the surface automatically. The remotely operated vehicle (ROV) includes an inspection module. The inspection module inspects the surface and allows the remotely operated vehicle (ROV) to move on a path along the surface. In addition, the remotely operated vehicle (ROV) includes a cleaning module. The cleaning module allows the remotely operated vehicle (ROV) to clean the pre-determined path along with the surface. Furthermore, the remotely operated vehicle (ROV) connected with a master control unit for providing commands to operate and control the remotely operated vehicle (ROV).

Abstract: This automatic travel system for a work vehicle is provided with: a position information obtaining unit; and an automatic travel control unit that causes a work vehicle to automatically travel along a target path. The automatic travel control unit sets a control target position on the target path including a plurality of work paths arranged in parallel with each other and a plurality of turning paths that connect the work paths in an order of travel of the work vehicle, to enable automatic travel of the work vehicle along the target path. The automatic travel control unit, when the work vehicle is positioned on a work path in the vicinity of a boundary with a turning path, sets the control target position on an extension of the work path. The automatic travel control unit, when the work vehicle is positioned on a turning path in the vicinity of a boundary with a work path, sets the control target position on the work path.

Abstract: A method for training and/or testing a robot control module. The method includes generating an instruction specified by a robot control module configured for robot training and/or testing, the instruction indicating how a human-driven robot task is to be performed when training and/or testing the robot control module; providing the instruction to a mixed reality device worn by a human data collector, the mixed device rendering the instruction in a manner that shows the human data collector how to perform the human-driven robot task; collecting performance data and environmental data in response to the human data collector attempting to perform the human-driven robot task using the data collection device; receiving feedback data in response to the human data collector attempting to perform the human-driven robot task specified by the instruction; and updating the robot control module using the feedback data and the collected performance and environmental data.

Abstract: Generally, a system for use in a robotic surgical system may be used to determine an attachment state between a tool driver, sterile adapter, and surgical tool of the system. The system may include sensors used to generate attachment data corresponding to the attachment state. The attachment state may be used to control operation of the tool driver and surgical tool. In some variations, one or more of the attachment states may be visually output to an operator using one or more of the tool driver, sterile adapter, and surgical tool. In some variations, the tool driver and surgical tool may include electronic communication devices configured to be in close proximity when the surgical tool is attached to the sterile adapter and tool driver.

Abstract: The various inventions relate to robotic surgical devices, consoles for operating such surgical devices, operating theaters in which the various devices can be used, insertion systems for inserting and using the surgical devices, and related methods. A positionable camera is disposed therein, and the system is configured to execute a tracking and positioning algorithm to re-position and re-orient the camera tip.

Abstract: An embodiment includes a method of determining a collision-free space for a robotic welding system. The method includes fixing a location of a part to be welded in a 3D coordinate space of a robotic welding system. An arm of the robotic welding system is moved around the part within the 3D coordinate space. Data corresponding to positions and orientations of the arm in the 3D coordinate space are recorded as the arm is moved within the 3D coordinate space around the part. The data is translated to swept volumes of data within the 3D coordinate space. The swept volumes of data are merged to generate 3D geometry data representing a continuous collision-free space within the 3D coordinate space.

Abstract: A travel route generation system includes: a first collector that collects running location information indicating running locations through which a plurality of vehicles have run; a second collector that collects vehicle-related information related to the plurality of vehicles; a memory that stores the vehicle-related information in association with the running location information; a criteria inputter that receives inputs of screening criteria including a criterion regarding the vehicle-related information; a processor that generates a recommended running route according to the screening criteria and based on the running location information and the vehicle-related information which are stored in the memory; and an outputter that outputs the recommended running route generated by the processor.

Abstract: An intelligent system for a photovoltaic cleaning robot includes: a control terminal, an intelligent control center, a stain detection database, and an intelligent device; where the intelligent device includes a camera shooting module, a motion flight module, and a cleaning module; the intelligent device and the intelligent control center are integrated on the photovoltaic cleaning robot; the intelligent control center and the control terminal are connected by a wireless communication; the intelligent control center is connected to the stain detection database through the wireless communication. In the intelligent system for the photovoltaic cleaning robot, even in a distributed photovoltaic power station with a harsh environment and terrain, it can also do the unmanned intelligent cleaning operation and maintenance work of the photovoltaic plate, where the operator only needs to operate the control terminal according to the attenuation of power generation of the power station to issue simple instructions.

Abstract: A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

Abstract: A vehicle control device is configured to issue a command to change at least a behavior of a vehicle in accordance with a change in a driving situation of the vehicle, and includes a vehicle condition detection device, an image capture device, a display device, and an arithmetic control device. The vehicle condition detection device is a slope angle detection sensor to measure a slope angle of a road surface on which the vehicle is driving. The image capture device is configured to capture an image of an area ahead of the vehicle. The display device is configured to display an image in a vehicle compartment of the vehicle. The arithmetic control device is configured to display the image of the area ahead of the vehicle on the display device when an amount of change in the slope angle measured by the vehicle condition detection device exceeds a predetermined threshold.

Abstract: Aspects of the disclosure relate to arranging a pick up and drop off locations between a driverless vehicle and a passenger. As an example, a method of doing so may include receiving a request for a vehicle from a client computing device, wherein the request identifies a first location. Pre-stored map information and the first location are used to identify a recommended point according to a set of heuristics. Each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank. The pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and the recommended point is one of the plurality of pre-determined locations.

Abstract: A method of using a cleaning robot for improved cleaning of edges of a wall having a projecting baseboard, includes using the robot to strike the baseboard in a first cleaning pass, causing an impact sensor to generate a first signal and a distance sensor to detect a first distance from the wall. The robot continues its first cleaning pass and strikes the baseboard a further time, causing the impact sensor to generate a second signal and the distance sensor to detect a second distance from the wall. A computer of the robot uses the signals to calculate two spatial points and a first straight line running through the points. The computer uses the distances and the two spatial points to establish an approach boundary of the cleaning robot relative to the wall. The computer controls the cleaning robot during subsequent cleaning passes exclusively using the one distance sensor.

Abstract: A method and computing system for transferring objects between a source repository and a destination repository is provided. The computing system is configured to operate by a combination of pre-planned and image base trajectories to improve speed and reliability of object transfer. The computing system is configured to capture image information of repositories and use the captured information to alter or adjust pre-planned trajectories to improve performance.

Abstract: A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

Abstract: The robot includes a storage unit and a control unit. The control unit acquires outside stimulus feature amounts that are feature amounts of an outside stimulus acting from outside, stores the acquired outside stimulus feature amounts in the storage unit as a history, compares outside stimulus feature amounts acquired at a certain timing with outside stimulus feature amounts stored in the storage unit to calculate a first similarity degree, and controls operations based on the calculated first similarity degree.

Abstract: A method for changing or expanding application tasks of a manipulator via a first processor and a second processor and a system for guiding the movement of the manipulator, wherein the system includes a first processor for performing control tasks relating to guiding the movement, the control tasks being performable in real-time and being performable while complying with pre-definable, in particular certifiable, safety requirements, and includes at least one second processor for performing an application task formed from a path planning task and a task relating to processing user inputs, where the second processor can be adapted to perform at least one changed or further application task.

Abstract: A robotic system is disclosed. The system includes a memory that stores for each of a plurality of items a set of attribute values. The system includes a processor(s) that uses the attribute values to simulate the placement of items, including by determining, iteratively, for each next item a placement location at which to place the item on a simulated stack of items on the pallet, using the attribute values and a geometric model of where items have been simulated to have been placed to estimate a state of the stack after each of a subset of simulated placements, and using the estimated state to inform a next placement decision. The steps of determining for each next item a placement location and estimating the state of the stack until all of at least a subset of the plurality of items have been simulated as having been placed on the stack.

Abstract: The embodiments of the present disclosure provide a method of travel control, a device and a storage medium. In some exemplary embodiments of the present disclosure, a self-mobile device collects three-dimensional environment information on a travel path of itself in the travel process, identifies an obstacle area and a type thereof existing on the travel path of the self-mobile device based on the three-dimensional environment information, and the self-mobile device adopts different travel controls in a targeted manner for different types of the area, such that the obstacle avoidance performance of the self-mobile device is improved by adopting the method of the travel control in the present disclosure.

Abstract: An autonomous cleaning robot includes a drive system to support the autonomous cleaning robot above a floor surface, an image capture device positioned on the autonomous cleaning robot to capture imagery of a portion of the floor surface forward of the autonomous cleaning robot, and a controller operably connected to the drive system and the image capture device. The drive system is operable to maneuver the autonomous cleaning robot about the floor surface. The controller is configured to execute instructions to perform operations including initiating, based on a user-selected sensitivity and the imagery captured by the image capture device, an avoidance behavior to avoid an obstacle on the portion of the floor surface.

Abstract: A mobile robot system and method for determining the stiffness of a human arm while moving with a user during overground interaction as the user holds the robot's handle and exchanges forces with it. A mobile base moves with the user, a robot arm interacts with the user, and a controller determines the stiffness. The robot arm includes servomotors driving a linkage mechanism, an end effector including the handle supported by the linkage mechanism, and a force transducer measuring a force applied by the user to the handle. The controller causes the robot arm to generate a force perturbation at the handle, measure a peak velocity achieved by the human arm, determine the stiffness of the human arm as a function of force and displacement, and control operation of the system based on the determined stiffness. A robot body may allow for adjusting the height of the robot arm.