Abstract: A cleaning robot a dirt recognition device thereof and a cleaning method of the robot are disclosed. The recognition device includes an image collecting module and an image processing module. The image collecting module may be used for collecting the image information of the surface to be treated by the cleaning robot and sending the image information to the image processing module. The image processing module may divide the collected image information of the surface to be treated into N blocks, extract the image information of each block and process the image information in order to determine the dirtiest surface to be treated that corresponds to one of the N blocks. Through the solution provided by the present invention, the cleaning robot can make an active recognition to the dirt such as dust, so that it can get into the working area accurately and rapidly.

Abstract: A method of controlling a mobile drive unit includes detecting, by a mobile drive unit at a first location, an active marker at the first location. The mobile drive unit is a self-powered robotic device configured to move independently in a workspace in response to instructions received from the active marker. A management module transmits an instruction to the active marker. The active marker emits a signal detectable by the mobile drive unit, the signal comprising the instruction. The mobile drive unit receives the instruction from the active marker for the mobile drive unit to perform a task.

Abstract: An autonomous mobile device is configured to move on a surface provided with a base station thereon, and is operated in one of a work state and return state. In the work state, the autonomous mobile device is operable to plot a movement route along which the autonomous mobile device moves, and is operable to adjust the movement route upon presence of an obstacle. In the return state, the autonomous mobile device is operable to plot a returning route on the surface from the current position to the base station, and to move along the returning route to the base station.

Abstract: Methods and systems for robot cloud computing are described. Within examples, cloud-based computing generally refers to networked computer architectures in which application execution and storage may be divided, to some extent, between client and server devices. A robot may be any device that has a computing ability and interacts with its surroundings with an actuation capability (e.g., electromechanical capabilities). A client device may be configured as a robot including various sensors and devices in the forms of modules, and different modules may be added or removed from robot depending on requirements. In some example, a robot may be configured to receive a second device, such as mobile phone, that may be configured to function as an accessory or a “brain” of the robot. A robot may interact with the cloud to perform any number of actions, such as to share information with other cloud computing devices.

Abstract: Workflow charts for processing (e.g., treating, machining) a workpiece with a tool of an industrial robot are automatically generated. An initial chart has a plurality of tool paths for a workpiece in a defined target position and for defined process parameters. The tool path determines the desired movement of the tool along the workpiece. A state space describing variable parameter values that impact the workpiece processing are defined. Each point in the space represents a concrete combination of possible parameter values. The space is discretized into individual states. The processing of the workpiece is simulated using the initial chart for one or several discrete states and the simulated process results are evaluated according to a pre-definable criterion. The initial chart is iteratively modified, subsequently workpiece processing is simulated using the modified chart for at least one discrete state, and the simulated processing results are evaluated with a pre-definable cost function.

Abstract: A robot for legged locomotion incorporating passive dynamics with active force control and method are provided.

Abstract: A robot arm includes a grip part which is structured to be separated from an end effector attached to the robot arm. When the grip part is gripped by the user and shifted, the robot arm shifts tracking the grip part. Further, the grip part includes contact sensors, and a tracking control method is switched according to the value of the contact sensors.

Abstract: An exemplary robot is disclosed with at least one turnable member wherein a free end of the member is moveable along a programmable path. A force or pressure or contact effect detector is included on an interaction point on the free end of the free member so that signals corresponding to the force or pressure or contact effect are producible. Control of the robot movement is performed according to the programmable path and according to predicted demands in the case of detection. In case of detection, the control will be carried out such that the robot movement is temporarily stopped, slowed down or not stopped and a temporary change of the programmable movement path can be determined in consideration of the produced signals. A homing method for controlling the robot is also disclosed.

Abstract: A minimally-invasive surgical system includes a slave surgical instrument having a slave surgical instrument tip and a master grip. The slave surgical instrument tip has an alignment in a common frame of reference and the master grip, which is coupled to the slave surgical instrument, has an alignment in the common frame of reference. An alignment error, in the common frame of reference, is a difference in alignment between the alignment of the slave surgical instrument tip and the alignment of the master grip. A ratcheting system (i) coupled to the master grip to receive the alignment of the master grip and (ii) coupled to the slave surgical instrument, to control motion of the slave by continuously reducing the alignment error, as the master grip moves, without autonomous motion of the slave surgical instrument tip and without autonomous motion of the master grip.

Abstract: Position finding system having a sensor unit and a transmitter unit. The sensor unit comprises a first RFID transponder reader unit, a first inductive detector unit, and an analysis unit connected to the RFID transponder reader unit and the inductive detector unit; the transmitter unit comprises an RFID transponder and a metallic material. The sensor unit is movable relative to the transmitter unit. The RFID transponder reader unit is configured for absolute position finding and outputs a first position value, and the inductive detector unit is configured for absolute position finding and outputs a second position value. The analysis unit is configured to determine, from the data acquired from the transmitter unit, an absolute position of the sensor unit from the first and second position values.

Abstract: An intelligent mobile robot having a robot base controller and an onboard navigation system that, in response to receiving a job assignment specifying a job location that is associated with one or more job operations, activates the onboard navigation system to automatically determine a path the mobile robot should use to drive to the job location, automatically determines that using an initially-selected path could cause the mobile robot to run into stationary or non-stationary obstacles, such as people or other mobile robots, in the physical environment, automatically determines a new path to avoid the stationary and non-stationary obstacles, and automatically drives the mobile robot to the job location using the new path, thereby avoiding contact or collisions with those obstacles. After the mobile robot arrives at the job location, it automatically performs said one or more job operations associated with that job location.

Abstract: A robot to bolt down a series of nut bolts in a joint circular flange connection of a wind turbine, which robot comprises at least two wheels and a drive to transport the robot along the series of nut bolts and a tool to bolt down a nut bolt with a predefined torque and a position sensor to position the tool above the nut bolt to be bolted down and a robot control system to control the tightening process and document parameters relevant for the stability of each bolted down nut bolt.

Abstract: An autonomous mobile device that moves while autonomously avoiding zones into which entry should be avoided even if no obstacle exists therein includes a laser range finder that acquires peripheral obstacle information, a storage unit that stores an environment map that shows an obstacle zone where an obstacle exists, and a no-entry zone map which shows a no-entry zone into which entry is prohibited, a self-location estimation unit that estimates the self-location of a host device by using the obstacle information acquired by the laser range finder and the environment map, and a travel control unit that controls the host device to autonomously travel to the destination by avoiding the obstacle zone and the no-entry zone based on the estimated self-location, the environment map, and the no-entry zone map.

Abstract: A robot hand has a plurality of fingers including a contact sensing finger that senses contact with an object. A base provided with the fingers detects a resultant reaction force that is the combination of reaction forces from the fingers. When no resultant reaction force is detected, the plurality of fingers are moved toward the object, and when the contact sensing finger comes into contact with the object, a force that drives the fingers is switched to a force corresponding to a grasp force. When the contact sensing finger has not come into contact with the object but a resultant reaction force is detected, the driving of the fingers is terminated and the position of the base is corrected by moving the base in a direction in which the resultant reaction force having acted thereon is not detected any more.

Abstract: An electronic controller defining an autonomous mobile device includes a self-location estimation unit to estimate a self-location based on a local map that is created according to distance/angle information relative to an object in the vicinity and the travel distance of an omni wheel, an environmental map creation unit to create an environmental map of a mobile area based on the self-location and the local map during the guided travel with using a joystick, a registration switch to register the self-location of the autonomous mobile device as the position coordinate of the setting point when the autonomous mobile device reaches a predetermined setting point during the guided travel, a storage unit to store the environmental map and the setting point, a route planning unit to plan the travel route by using the setting point on the environmental map stored in the storage unit, and a travel control unit to control the autonomous mobile device to autonomously travel along the travel route.

Abstract: Systems, devices, features, and methods for determining a geometric parameter from an image are disclosed. For example, one method for determining the geometric parameter is used to develop a navigation database. The method comprises determining calibration values corresponding to a camera mounted on a vehicle or a pedestrian. A plurality of images of geographic features are captured by the camera. A single image from the plurality of images is identified or selected. A geometric parameter of a region in the single image is determined based on the determined calibration values. For example, the geometric parameter is a real-world distance, such as a real-world length or width.

Abstract: There is provided a loading and unloading apparatus for performing loading and unloading of workpieces with respect to access positions on a pallet, including a plurality of hands which sequentially access the access positions on the pallet, the plurality of hands including a first and a second hand. Further, the loading and unloading apparatus includes a managing unit which maintains an access position of the first hand, and a determining unit which determines a movement path of the second hand based on the access position of the first hand.

Abstract: A method for the automated control of a process robot with a controller performing movement and work sequences and with one or more sensors that record a work progress. A planning tool compares a recorded progress of work with an aimed-for processing objective and determines, from a difference between the processing objective and an actual value of the process that corresponds to the recorded progress of work, movement and work sequences with which the aimed-for processing objective is achieved. Then the determined movement and work sequences are converted into robot-executable control commands in real time or in-step with the process, and the process robot is controlled in such a way as to achieve the aimed-for processing objective.

Abstract: A system that uses optical motion capture hardware for position and orientation tracking of non-destructive inspection (NDI) sensor units. This system can be used to track NDI sensor arrays attached to machine-actuated movement devices, as well as in applications where the NDI sensor array is hand-held. In order to achieve integration with NDI hardware, including proprietary systems commercially available, a data acquisition device and custom software are used to transmit the tracking data from the motion capture system to the NDI scanning system, without requiring modifications to the NDI scanning system.

Abstract: A robot (100) has a robot mechanism unit (1) having a sensor (10) and a control unit (2), and the control unit (2) includes a normal control unit (4) that controls the operation of the robot mechanism unit, and a learning control unit (3) that, when the robot mechanism unit (1) is operated by a speed command that is given by multiplying a teaching speed designated in a task program by a speed change ratio, performs learning to calculate, from a detection result by the sensor (10), a learning correction amount for making the trajectory or position of the control target in the robot mechanism unit (1) approach the target trajectory or target position, or for reducing the vibration of the control target, and performs processes so that the control target position of the robot mechanism unit (1) moves along a fixed trajectory regardless of the speed change ratio.

Abstract: It is possible to perform robot motor learning in a quick and stable manner using a reinforcement learning apparatus including: a first-type environment parameter obtaining unit that obtains a value of one or more first-type environment parameters; a control parameter value calculation unit that calculates a value of one or more control parameters maximizing a reward by using the value of the one or more first-type environment parameters; a control parameter value output unit that outputs the value of the one or more control parameters to the control object; a second-type environment parameter obtaining unit that obtains a value of one or more second-type environment parameters; a virtual external force calculation unit that calculates the virtual external force by using the value of the one or more second-type environment parameters; and a virtual external force output unit that outputs the virtual external force to the control object.

Abstract: A robot controller includes an input unit that receives operation instruction information, a database that stores grasp pattern information, and a processing unit that performs control processing based on information from the input unit and information from the database, and the input unit receives first to N-th operation instructions as operation instruction information, the processing unit loads i-th grasp pattern information that enables execution of the i-th operation instruction and j-th grasp pattern information that enables execution of the j-th operation instruction as the next operation instruction to the i-th operation instruction from the database, and performs control processing based on the i-th grasp pattern information and the j-th grasp pattern information.

Abstract: A computer-implemented system and method for operating mobile automated workstations in a workspace including a workpiece is disclosed. A computer device defines an exclusionary volume having an outer exclusionary surface at least partially surrounding a mobile workstation that is operably disposed in the workspace. The computer device receives data from at least one sensor and determines the location of the workstation and humans within the workspace based on the data. The computer device activates an indicator and alters the motion of the workstation after detection of a human breaching the exclusionary volume or exclusionary surface.

Abstract: A humanoid robot fall controller controls motion of a robot to minimize damage when it determines that a fall is unavoidable. The robot controller detects a state of the robot during the fall and determines a desired rotational velocity that will allow the robot to re-orient itself during the fall to land on a predetermined target body segment (e.g., a backpack). The predetermined target body segment can be specially designed to absorb the impact of the fall and protect important components of the robot.

Abstract: The present invention is directed to the use and application of robotics in mining and post-mining applications, including smelting and processes associated with electrodeposition, electrorefining, cleaning, and disposal. In addition, the application of robotics includes functions associated with maintenance and operation of equipment used in mining operations.

Abstract: A method and a system for operating a mobile robot comprise a range finder for collecting range data of one or more objects in an environment around the robot. A discriminator identifies uniquely identifiable ones of the objects as navigation landmarks. A data storage device stores a reference map of the navigation landmarks based on the collected range data. A data processor establishes a list or sequence of way points for the robot to visit. Each way point is defined with reference to one or more landmarks. A reader reads an optical message at or near one or more way points. A task manager manages a task based on the read optical message.

Abstract: Method and System of removing material from a debris pile which includes blocks of material. The debris pile is characterized to create a static equilibrium diagram illustrating one or more forces acting on each of the plurality of blocks of material. The blocks are ranked according to a number of touch points that each block of material touches another block of material. A block having a least number of touch points is identified. The block is removed from the static equilibrium diagram. It is determined if the block is removable by a robot. It is determined if the pile of debris would be in static equilibrium after removal of the block. The robot is directed to remove the block. Also included is a computer program product.

Abstract: The invention relates to a robotic vehicle (1), in particular a robotic vehicle (1) designed for self-contained operations, with drive means (5) for the movement of the vehicle (1) on the subsurface (11), and with control means (7) for the activation of the drive means (5) in accordance with the measured intensity of the infrared radiation. According to the invention, a light sensor (9) is provided to detect the intensity of light radiation from the visible spectrum reflected from the subsurface (11), and in addition the control means (7) are designed to activate the drive means (5) in accordance with the measured intensity of the light radiation. The invention further relates to a method of activation.

Abstract: Aspects of the disclosure relate generally to detecting and avoiding blind spots of other vehicles when maneuvering an autonomous vehicle. Blind spots may include both areas adjacent to another vehicle in which the driver of that vehicle would be unable to identify another object as well as areas that a second driver in a second vehicle may be uncomfortable driving. In one example, a computer of the autonomous vehicle may identify objects that may be relevant for blind spot detecting and may determine the blind spots for these other vehicles. The computer may predict the future locations of the autonomous vehicle and the identified vehicles to determine whether the autonomous vehicle would drive in any of the determined blind spots. If so, the autonomous driving system may adjust its speed to avoid or limit the autonomous vehicle's time in any of the blind spots.

Abstract: A navigational control system for an autonomous robot includes a transmitter subsystem having a stationary emitter for emitting at least one signal. An autonomous robot operating within a working area utilizes a receiving subsystem to detect the emitted signal. The receiver subsystem has a receiver for detecting the emitted signal emitted by the emitter and a processor for determining a relative location of the robot within the working area upon the receiver detecting the signal.

Abstract: In an animatronic system, recording and playing performances of individual axes of character movement involves, during recording, continually commanding speeds and rotational directions of a stepping axis motor in response to manual movement of a joystick. The joystick commands are modified by means of a feedback motor electrically coupled to the axis motor to mechanically interact with the joystick.

Abstract: One type of battery quick-change system of electric passenger car chassis based on the Cartesian coordinate robot, including electric changing platform, and this platform, quick-change robot and charging rack along the same straight line; the quick-change robot comprises the battery tray and the Cartesian coordinate robot of four degrees of freedom, the Cartesian coordinate robot is associated with the X-axis driving motor, the Y-axis driving motor, the Z-axis up-down motor, the battery tray is connected with the R-axis driving motor; each of driving motors is connected with the corresponding encoder, and each of encoders is connected to the corresponding drive; there are equipped with a distance measuring sensor on the battery tray, and the corresponding limit switches on the both ends of each two-track rack; the drive, each limit switch and the distance measuring sensor of each driving motor are connected with the control system.

Abstract: Various interfaces allowing users to directly manipulate an automatic moving apparatus manually, thus enhancing user convenience and efficiency, are provided. An automatic moving apparatus includes: a storage unit configured to store a traveling method; an image detection unit configured to acquire a captured image; a driving unit having one or more wheels and driving the wheels according to a driving signal; and a control unit configured to extract a traveling direction from the traveling method stored in the storage unit in a first mode, extract a traveling direction indicated by a sensing target from the captured image acquired by the image detection unit in a second mode, and generate a driving signal for moving the automatic moving apparatus in the extracted traveling direction.

Abstract: A method for operating a system including at least two robots for handling parts and a robot control unit arranged for control of said at least two robots. Each of the robots is arranged with a parts handler device including a rigid arm with one end connected to the end element of an arm of the robot by a first swivel arranged for radial movement of the rigid arm in relation to the end element. Each of the robots is also arranged with a gripper connected to the rigid arm by a second swivel arranged for free, passive rotation of the gripper in relation to the rigid arm. The method includes generating instructions for the at least two robots to pick and/or move and/or place a part and sending the instructions to each robot simultaneously.

Abstract: A device 11 includes a floor surface information acquisition portion 21 which acquires floor surface information in a plurality of local regions of a floor surface. The gait generator 22 of the device 11 sets the desired landing position and posture of a free leg 3 of a robot 1 within one local region and determines a desired horizontal motion trajectory of the distal end of the free leg 3 to determine a desired vertical motion trajectory of the distal end of the free leg 3 so that the height of the distal end of the free leg 3 is equal to or higher than a lower-limit height determined to prevent a contact between the distal end of the free leg 3 and the floor surface of the local region at the positions of a plurality of sampling points on the desired horizontal motion trajectory.

Abstract: A bipedal robot having a pair of legs with 6 degrees of freedom and a control method thereof which calculate a capture point by combining the position and velocity of the center of gravity (COG) and control the capture point during walking to stably control walking of the robot. A Finite State Machine (FSM) is configured to execute a motion similar to walking of a human, and thus the robot naturally walks without constraint that the knees be bent all the time, thereby being capable of walking with a large stride and effectively using energy required while walking.

Abstract: An autonomous floor cleaning robot includes a transport drive and control system arranged for autonomous movement of the robot over a floor for performing cleaning operations. The robot chassis carries a first cleaning zone comprising cleaning elements arranged to suction loose particulates up from the cleaning surface and a second cleaning zone comprising cleaning elements arraigned to apply a cleaning fluid onto the surface and to thereafter collect the cleaning fluid up from the surface after it has been used to clean the surface. The robot chassis carries a supply of cleaning fluid and a waste container for storing waste materials collected up from the cleaning surface.

Abstract: In order for a control system that interlocks with a teaching data input unit and a robot to control the robot, when teaching data including layer selection information that is input through the teaching data input unit is received, the control system generates a joint space path of a layer of any one of teaching data of a first layer and teaching data of a second layer according to the layer selection information of the teaching data. The control system controls the robot based on the generated joint space path.

Abstract: A robot controller controls a robot to maintain balance in response to an external disturbance (e.g., a push) on level or non-level ground. The robot controller determines a predicted stepping location for the robot such that the robot will be able to maintain a balanced upright position if it steps to that location. As long as the stepping location predicted stepping location remains within a predefined region (e.g., within the area under the robot's feet), the robot will maintain balance in response to the push via postural changes without taking a step. If the predicted stepping location moves outside the predefined region, the robot will take a step to the predicted location in order to maintain its balance.

Abstract: A charged particle beam reduces treatment time in the uniform scanning or in the conformal layer stacking irradiation. In the uniform scanning, an optimum charged particle beam scan path for uniformly irradiating a collimator aperture area is calculated. In the conformal layer stacking irradiation, an optimum charged particle beam scan path for uniformly irradiating a multi-leaf collimator aperture area of each layer for each of the layers obtained by partitioning the target volume is calculated. Alternatively, a minimum irradiation field size that covers the multi-leaf collimator aperture area of each layer is calculated, and a scan path corresponding to the irradiation field size, prestored in a memory of a particle therapy control apparatus, is selected. The charged particle beam scan path is optimally changed in the lateral directions in conformity with the collimator aperture area in the uniform scanning or in each layer in the conformal layer stacking irradiation.

Abstract: A robot includes: an arm; a driving source that pivots the arm; an angle sensor that detects a pivot angle and outputs pivot angle information; an inertia sensor that is attached to the arm and outputs inertial force information; a control command generating unit that outputs a control command defining rotational operation of the arm; a control conversion determining unit that determines whether the inertial force information is used when the driving source is controlled; and an arm operation control unit that performs a first control based on the control command, the pivot angle information, and the inertial force information, if the control conversion determining unit determines that the inertial force information should be used, and performs a second control based on the control command and the pivot angle information, if the control conversion determining unit determines that the inertial force information should not be used.

Abstract: A control system or the like capable of causing a controlled object to act in an appropriate form in view of an action purpose of the controlled object to a disturbance in an arbitrary form. Each of a plurality of modules modi, which are hierarchically organized according to the level of a frequency band, searches for action candidates which are candidates for an action form of a robot R matching with a main purpose and a sub-purpose while giving priority to a main purpose mainly under the charge of the module over a sub-purpose mainly under the charge of any other module. The actions of the robot R is controlled in a form in which the action candidates of the robot R searched for by a j-th module of a high frequency are reflected in preference to the action candidates of the robot R searched for by a (j+1)th module of a low frequency.

Abstract: A robot system is provided, which includes a robot, a controller for controlling an operation of the robot, and a sensor for detecting a person entering into a delivery area where the robot and the person deliver an object therebetween. When the sensor detects the person entering into the delivery area, the controller sets to the delivery area a first restricted area where the operation of the robot is restricted, and controls the robot based on the first restricted area.

Abstract: A robot obstacle detection system including a robot housing which navigates with respect to a surface and a sensor subsystem aimed at the surface for detecting the surface. The sensor subsystem includes an emitter which emits a signal having a field of emission and a photon detector having a field of view which intersects the field of emission at a region. The subsystem detects the presence of an object proximate the mobile robot and determines a value of a signal corresponding to the object. It compares the value to a predetermined value, moves the mobile robot in response to the comparison, and updates the predetermined value upon the occurrence of an event.

Abstract: A method for training a robot to execute a robotic task in a work environment includes moving the robot across its configuration space through multiple states of the task and recording motor schema describing a sequence of behavior of the robot. Sensory data describing performance and state values of the robot is recorded while moving the robot. The method includes detecting perceptual features of objects located in the environment, assigning virtual deictic markers to the detected perceptual features, and using the assigned markers and the recorded motor schema to subsequently control the robot in an automated execution of another robotic task. Markers may be combined to produce a generalized marker. A system includes the robot, a sensor array for detecting the performance and state values, a perceptual sensor for imaging objects in the environment, and an electronic control unit that executes the present method.

Abstract: Systems and methods for controlling jointed mechanical devices are is provided, where the device is controlled based on a topographic state (300) map having one or more motion axes (D1, D2) and defining a plurality of poses and a plurality of transitions in parallel with one of the motion axes, In the map, each motion axis is associated with complementary types of motion in the device and each of the transitions associated with at least two of the poses. A method includes the steps of receiving a control signal and determining a mechanical state of the device within the topographic state map. The method further includes identifying potential transitions associated with the mechanical state based on the topographic state map. The method also includes adjusting the mechanical state based on the control signal if the control signal is associated with a type of motion associated with one of the identified transitions.

Abstract: A drive control system for a moving device such as a vehicle uses a dynamic force vector program that is hosted by a computer on the vehicle. Variable controllers receive input from the computer that automatically adjusts drive and slave motors which in turn propel an associated drive member so as to maximize efficiency of the operation of the vehicle in various terrain conditions. Sensing devices provide continuous load and condition parameters to the computer that in turn adjusts the torque outputs for the variable controllers which in turn dynamically adjusts the vehicle's operation based on current operating conditions.

Abstract: A robot cleaner has a camera to generate an image of a cleaning area, a controller to prepare a cleaning map based on the image and to drive a robot cleaner, and a communicator to transmit the image and cleaning map to an external device and to receive a control command from the external device. The image and map may be transmitted over a local or wide area network, and the external device may be a computer, television, smart phone, portable phone, or other type of wireless access device.

Abstract: A robot system includes a robot hand and a controller. The robot hand includes a plurality of holders configured to hold a workpiece placed on a workpiece placement stand using at least one of electromagnetic force and suction force. The controller is configured to control the plurality of holders to hold the workpiece while controlling the plurality of holders to switch between operation mode and nonoperation mode in accordance with at least one of a shape and a size of the workpiece.

Abstract: A robot system includes a robot. A fitting member holder is mounted to a distal end of the robot to hold a fitting member. A receiver member receives the fitting member. A position determination member is disposed at a fixed position relative to the receiver member. A robot controller controls the robot. A position identifying device brings the robot, the fitting member, or the fitting member holder into contact with the position determination member with the fitting member holder holding the fitting member. A position identifying device identifies a fitting position based on a position of the contact. A fitting control device controls the robot to fit the fitting member into the receiver member at the fitting position.