Abstract: A method of controlling a vehicle having wheels provided with tires resting on a surface, the method using a model of the physical behavior of each tire as a function of a sideslip angle (?ij) for each tire relative to the surface. The model is obtained by implementing an adaptive algorithm that selectively applies an affABREGEine model (Z1), a DUGOFF model (Z2), or a constant model (Z3).

Abstract: One method for fleet management of robotic surgical systems includes receiving, by a management server from a robotic surgery system, a provisioning request; in response to receiving the provisioning request: generating an encryption key pair for the robotic surgery system, the encryption key pair comprising a private key and a public key, communicating the private key to the robotic surgery system, and communicating a set of secure certificates to the robotic surgery system, at least one of the secure certificates enabling secure communications between the robotic surgery system and the management server; receiving from the robotic surgery system, and using the at least one secure certificate enabling secure communications, a message indicating one or more software packages, each software package indicating a version of an installed software package on the robotic surgery system; communicating one or more software updates to the robotic surgery system based on the message; and registering, at the management

Abstract: A teleoperations system may be used to select from among multiple scenarios generated by an autonomous vehicle based upon context data provided to the teleoperations system by the autonomous vehicle. Furthermore, an autonomous vehicle may validate a selected scenario prior to executing that scenario to confirm that the scenario does not violate any vehicle and environmental constraints for the autonomous vehicle. Further, a user interface may be presented to a teleoperations system operator to coordinate the display representations of different scenarios with those of the user interface controls used to select such scenarios.

Abstract: A transfer system includes a hand that supports a workpiece to be transported; an arm that moves the hand; a scanning controller that moves the hand by the arm along a scanning direction that intersects sides which are provided to be fixed to the hand and not parallel with each other, such that the sides pass a known reference position in a transfer path of the workpiece; and a position detector that detects a positional deviation of the hand in a direction intersecting the scanning direction, based on a timing at which one of the side reaches the reference position and a timing at which the other side reaches the reference position RP, while the scanning controller is moving the hand.

Abstract: A robot may include a spatiotemporal controller for controlling the kinematics or movements of the robot via continuous and/or granular adjustments to the actuators that perform the physical operations of the robot. The spatiotemporal controller may continuously and/or granularly adjust the actuators to align completion or execution of different objectives or waypoints from a spatiotemporal plan within time intervals allotted for each objective by the spatiotemporal plan. The spatiotemporal controller may also continuously and/or granularly adjust the actuators to workaround unexpected conflicts that may arise during the execution of an objective and delays that result from a workaround while still completing the objective within the allotted time interval. By completing objectives within the allotted time intervals, the spatiotemporal controller may ensure that conflicts do not arise as the robots simultaneously operate in the site using some of the same shared resource.

Abstract: A robotic self-learning visual inspection method includes determining if a fixture on a component is known by searching a database of known fixtures. If the fixture is unknown, a robotic self-programming visually learning process is performed that includes determining one or more features of the fixture and providing information via a controller about the one or more features in the database such that the fixture becomes known. When the fixture is known, a robotic self-programming visual inspection process is performed that includes determining if the one or more features each pass an inspection based on predetermined criteria. A robotic self-programming visual inspection system includes a robot having one or more arms each adapted for attaching one or more instruments and tools. The instruments and tools are adapted for performing visual inspection processes.

Abstract: An automatic control method of a mechanical arm and an automatic control system are provided. The automatic control method includes the following steps: obtaining a color image and depth information corresponding to the color image through a depth camera; performing image space cutting processing and image rotation processing according to the color image and the depth information to generate a plurality of depth images; inputting the depth images into an environmental image recognition module such that the environmental image recognition module outputs a displacement coordinate parameter; and outputting the displacement coordinate parameter to a mechanical arm control module such that the mechanical arm control module controls the mechanical arm to move according to the displacement coordinate parameter.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot may include a drive system, a control system, an object detection system, and a social behaviors component. The drive system is configured to move the telepresence robot. The control system is configured to control the drive system to drive the telepresence robot around a work area. The object detection system is configured to detect a human in proximity to the telepresence robot. The social behaviors component is configured to provide instructions to the control system to cause the telepresence robot to operate according to a first set of rules when a presence of one or more humans is not detected and operate according to a second set of rules when the presence of one or more humans is detected.

Abstract: A robotic object handling system comprises a robot arm, a non-contact sensor, a first station, and a computing device. The computing device is to cause the robot arm to pick up an object on an end effector, cause the robot arm to position the object within a detection area of the non-contact sensor, cause the non-contact sensor to generate sensor data of the object, determine at least one of a rotational error of the object relative to a target orientation or a positional error of the object relative to a target position based on the sensor data, cause an adjustment to the robot arm to approximately remove at least one of the rotational error or the positional error from the object, and cause the robot arm to place the object at the first station, wherein the placed object lacks at least one of the rotational error or the positional error.

Abstract: Systems, methods, and computer-readable media are disclosed for portable robotic manipulation systems. In one embodiment, an example robot assembly may include a first portion that includes a first robotic arm configured to manipulate objects, a second portion coupled to the first portion, the second portion including a moveable sensor assembly, and a controller configured to control operation of the first robotic arm and operation of the moveable sensor assembly. The robot assembly is portable and configured to operate in fenced or unfenced environments, and may be configured to perform different tasks in different environments.

Abstract: Example implementations may relate to self-deployment of operational infrastructure by an unmanned aerial vehicle (UAV). Specifically, a control system may determine operational location(s) from which a group of UAVs is to provide aerial transport services in a geographic area. For at least a first of the operational location(s), the system may cause a first UAV from the group to perform an infrastructure deployment task that includes (i) a flight from a source location to the first operational location and (ii) installation of operational infrastructure at the first operational location by the first UAV. In turn, this may enable the first UAV to operate from the first operational location, as the first UAV can charge a battery of the first UAV using the operational infrastructure installed at the first operational location and/or can carry out item transport task(s) at location(s) that are in the vicinity of the first operational location.

Abstract: A robot hand controller includes an air supply unit configured to supply air into fingers of a robot hand and configured to discharge air in the fingers, and a controller configured to control the air supply unit, where the air supply unit includes two or more air passages respectively connected to the different fingers, the air passages capable of supplying the air into the fingers and discharging the air in the fingers independently from each other, and the controller controls supply and discharge of the air through each of the two or more air passages in response to a shape of the workpiece and an object in a vicinity of a transport destination of the workpiece.

Abstract: An information processing apparatus to output control information for controlling a suction device configured to suction a packaged object includes an input unit and an output unit. The input unit inputs an image obtained by performing image capturing of a surface of the packaged object. The output unit outputs the control information to control timing at which suction is started by the suction device, based on a state of the surface of the packaged object specified from the image.

Abstract: An information providing device has an operation program using information on a structure related to a work robot and information on a processing model related to the structure to execute processing of the processing model by the structure in a virtual space. In addition, the information providing device includes a control section for acquiring data of a development target object including at least one of a new structure and a new processing model from an information processing device used by a developer, executing the operation program using the acquired data of the development target object to execute processing by the development target object in the virtual space, and outputting a processing result by the development target object.

Abstract: An artificial intelligence robot for managing movement of an object using artificial intelligence includes a driving motor, a camera configured to acquire image data, a memory configured to store an object recognition model used to recognize the object from the image data and store a delivery location inference model for inferring a delivery location of the recognized object and a processor configured to recognize the object from the image data using the object recognition model, determine the delivery location of the recognized object from identification data of the recognized object using the delivery location inference model, and control the driving motor to move the artificial intelligence robot to the determined delivery location.

Abstract: A robot-assisted surgical system has a user interface operable by a user, a first robotic manipulator having a first surgical instrument, and a second robotic manipulator having a second surgical instrument. The system receives user input in response to movement of the input device by a user and causes the manipulator to move the first surgical instrument in response to the user input, determines a vector defined by the position of the first surgical instrument relative to the second surgical instrument, generates dynamic control signals based on the determined vector, and causes the manipulator to move the second surgical instrument in response to said dynamic control signals.

Abstract: Systems, methods, and computer-readable media are provided for receiving traffic object data from a plurality of autonomous vehicles, comparing the traffic object data of each of the plurality of autonomous vehicles with known traffic object data, determining a discrepancy between the traffic object data of each of the plurality of autonomous vehicles and the known traffic object data, grouping the traffic object data of each of the plurality of autonomous vehicles based on the determining of the discrepancy between the traffic object data of each of the plurality of autonomous vehicles and the known traffic object data, determining whether a group of traffic object data of the grouping of the traffic object data of each of the plurality of autonomous vehicles exceeds a threshold, and updating a traffic object map based on the traffic object data of the group that exceeds the threshold.

Abstract: A collaborative-robot control system is provided in the invention. The collaborative-robot control system includes a plurality of test machines, a plurality of collaborative robots, a first control system and a second control system. The plurality of test machines are configured in a plurality of paths. When the second control system assigns a first collaborative robot of the plurality of collaborative robots in a waiting area to a first test machine in a first path of the plurality of paths and the first collaborative robot is being blocked by a second collaborative robot of the plurality of collaborative robots in the first path, the second control system generates a push-forward command and transmits the push-forward command to the first control system. The first control system sends the push-forward command to the second collaborative robot to order the second collaborative robot to leave the first path first.

Abstract: Disclosed herein is a robot including an output interface including at least one of a display or a speaker, and a processor configured to acquire output data of a predetermined playback time point of content output via the robot or an external device, recognize a first emotion corresponding to the acquired output data, and control the output interface to output an expression based on the recognized first emotion.

Abstract: Provided are a robot that calculates a level of liquid contained in a liquid container and a method for calculating such liquid level. The robot includes a robot arm to which a tool is attached to an end of the robot arm, a torque sensor disposed on the robot arm and measuring a torque value of the robot arm, and a processor that controls the robot arm and receives the torque value from the torque sensor and calculates information related to the torque value, and calculates the level value of liquid contained in the liquid container based on the information related to the torque value.