Abstract: A method of generating a robot operation command includes extracting a work command from an overall work flow; extracting, from a command definition database, a command definition corresponding to the extracted work command, the work command having been read; generating, by referring to the read work command, a set of unit jobs in which at least one work command is arranged in order, based on the extracted command definition; generating, for a plurality of unit jobs, a connecting job for causing a robot to be moved from an end position of a previous unit job to a start position of a subsequent unit job; and generating a robot operation command in which the unit jobs and the connecting job are continuous.

Abstract: The present disclosure relates to a vehicle and a control method thereof, and more particularly, to an apparatus and a method for implementing a lane change decision aid system (LCDAS). The LCDAS apparatus includes: a sensing device for sensing whether a target vehicle is in adjacent zones of a subject vehicle, whether the target vehicle is in a rear zone of the subject vehicle, or whether the target vehicle is a large vehicle or a compact vehicle; a processor for determining an activation condition for determining whether an LCDAS function is active/inactive and a warning condition for determining whether a warning of the LCDAS function is issued/un-issued, based on a sensing result of the sensing device; a warning device for issuing the warning to a driver based on a determination result of the processor; and a controller for controlling the sensing device, the processor, and the warning device.

Abstract: The invention relates to a method for correcting errors in a manipulator system, wherein the manipulator system comprises at least one manipulator and is controlled by means of at least one manipulator program, wherein the method comprises the following method steps: ?providing at least one manipulator program, wherein the manipulator program comprises several operations; ?combining at least two of the operations to form at least one operation structure; ?defining at least one placement point (AP1, AP2), wherein the at least one placement point (AP1, AP2) forms the start andor the end of an operation structure (310); ?providing at least one reaction structure (320) and assigning the reaction structure (320) to an operation structure (310), wherein tlte at least one reaction structure (320) contains reaction operations (R1 to Rn), upon the execution of which, the manipulator program controls the manipulator system such that it is passed into a system state which corresponds to a placement point (AP1, AP2); ?ex

Abstract: A medical manipulator system including: a placement table on which a patient is placed; at least one manipulator configured to support a treatment tool which is configured to treat the patient, the manipulator configured to adjust a position and an orientation of the treatment tool; a base portion configured to support the manipulator; a sensor configured to detect objects which are present in a predetermined area including the manipulator and the placement table; and a controller including at least one processor, wherein the processor is configured to: calculate degrees of proximity between the objects detected by the sensor and the manipulator, and generate, in case that the calculated degrees of proximity exceed a predetermined threshold, a control signal for preventing interference between the objects and the manipulator.

Abstract: A machine learning device includes: a state observation unit that observes component arrangement data representing an arrangement of components on a component serving place, component data representing information of the components, and operator status data representing status information of an operator, as state variables representing a current state of an environment; a determination data acquisition unit that acquires product quality determination data for determining quality of the product which is assembled based on an arrangement of the components and takt time determination data for determining takt time for assembly of the product as determination data; and a learning unit that performs learning based on the state variables and the determination data in a manner to associate information of the components used for assembling the product and status information of the operator with respect to an arrangement of the components on the component serving place.

Abstract: A robot device includes a receiver and a sender. The receiver receives a character in a virtual space. The sender sends authorization to operate the robot device to an apparatus in return for the received character.

Abstract: Robots and apparatus, systems and methods for powering robots are disclosed. A disclosed conductive floor to power a robot on the floor includes a plurality of stationary conductors positioned in a pattern and a power delivery circuit to cause adjacent ones of the conductors to have different electrical potentials, the adjacent ones of the conductors to form a circuit to deliver power to the robot via contacts formed in a bottom surface of the robot.

Abstract: Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a semantic grasping model to predict a measure that indicates whether motion data for an end effector of a robot will result in a successful grasp of an object; and to predict an additional measure that indicates whether the object has desired semantic feature(s). Some implementations are directed to utilization of the trained semantic grasping model to servo a grasping end effector of a robot to achieve a successful grasp of an object having desired semantic feature(s).

Abstract: A robotic surgical system for performing surgery, the system includes a robotic arm having a force and/or torque control sensor coupled to the end-effector and configured to hold a first surgical tool. The robotic system further includes an actuator that includes controlled movement of the robotic arm and/or positioning of the end-effector. The system further includes a tracking detector having optical markers for real time detection of (i) surgical tool position and/or end-effector position and (ii) patient position. The system also includes a feedback system for moving the end effector to a planned trajectory based on the threshold distance between the planned trajectory and the actual trajectory.

Abstract: A system for charging one or more batteries of a vehicle may include a charging box mounted to a vehicle to facilitate connection to a charge coupler from under the vehicle. The charge coupler may be configured to provide an electrical connection between an electrical power source and the charging box. A vehicle including the charging box may maneuver to a position above the charge coupler, after which electrical contacts of the charging box and the charge coupler may be brought into contact with one another. The charge coupler and/or the charging box may be configured to provide electrical communication between the electrical power source and the one or more batteries, so that the electrical power source may charge one or more of the batteries. Thereafter, the electrical contacts may be separated from one another, and the vehicle may maneuver away from the charge coupler.

Abstract: A simulation apparatus that allows a virtual robot arm displayed on a display device to act, includes a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to receive drag operation on a distal end of the virtual robot arm from an input device, and change an attitude of the virtual robot arm based on the drag operation.

Abstract: This specification describes trajectory planning for robotic devices. A robotic navigation system can obtain, for each of multiple time steps, data representing an environment of a robot at the time step. The system generates a series of occupancy maps for the multiple time steps, and uses the series of occupancy maps to determine occupancy predictions for one or more future time steps. Each occupancy prediction can identify predicted locations of obstacles in the environment of the robot at a different one of the future time steps. A planned trajectory can be determined for the robot using the occupancy predictions, and the robot initiates travel along the planned trajectory.

Abstract: Provided is an interference determination method with which whether or not a robot interferes with a surrounding object on a motion path can be computed. At least one intermediate position is set on a motion path of movement from the first position to the second position, a plurality of robot approximated bodies that are each constituted by combining at least two robot approximated bodies at a plurality of postures corresponding to each position are generated, a second combined approximated body constituted by combining at least two first combined approximated bodies is generated with respect to at least one focused part, and the second combined approximated body interferes with a surrounding object approximated body is determined.

Abstract: A control device includes: a processor wherein the processor is configured to generate one or more second control signals obtained by reducing at least one frequency component from a first control signal, output one control signal among the first control signal and the one or more second control signals, receive an instruction indicating execution of a reduction in the frequency component, generate a driving signal for driving a robot based on the control signal output from the processor and output the driving signal, output the first control signal when a first condition including non-input of the instruction indicating the execution of the reduction in the frequency component is satisfied, and output the second control signal when a second condition including input of the instruction indicating the execution of the reduction in the frequency component is satisfied.

Abstract: A method of controlling a mobile communication device comprising a wireless communication interface and a display is disclosed. The method comprising: executing a mobile application for controlling a robotic work tool; receiving an error signal through said wireless communication interface from said robotic work tool; displaying an error status on the display; disabling functions relating to an operating state; receiving a reset signal through said wireless communication interface from said robotic work tool; and in response thereto enabling the functions relating to an operating state.

Abstract: Various embodiments of the present disclosure provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.

Abstract: A robot procurement apparatus stores a deficient or surplus number of robots in each of service areas where robots provide services and performs a procurement process of determining a procurement target robot to a dispatch destination service area that is the service area to which the robot is to be dispatched based on the deficient or surplus number of robots in the dispatch destination service area and the deficient or surplus number of robots in any service area other than the dispatch destination service area. The robot procurement apparatus sets the deficient or surplus number of robots in each of the service areas based on load of the robot in the service area.

Abstract: Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and the region map.

Abstract: An arm control method including determining, using a processor, whether or not there is an abnormality in an arm that operates by being driven by an actuator in a state in which the arm is fixed by a brake mechanism, to make it possible to determine whether or not there is an abnormality in an arm in a state in which the arm is fixed by a brake mechanism. Therefore, it is possible to more safely determine whether or not there is an abnormality in the arm. In addition, it is possible to more reliably prevent the arm from performing an abnormal operation.

Abstract: A control device for controlling a robot including an arm driven via a reduction gear by a motor generating a drive force, the control device comprising a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to perform speed control on the arm by using an input detection value from an input position detection sensor which detects an input side operation position of the reduction gear, and an output detection value from an output position detection sensor which detects an output side operation position of the reduction gear.