Abstract: An example implementation for determining mechanically-timed footsteps may involve a robot having a first foot in contact with a ground surface and a second foot not in contact with the ground surface. The robot may determine a position of its center of mass and center of mass velocity, and based on these, determine a capture point for the robot. The robot may also determine a threshold position for the capture point, where the threshold position is based on a target trajectory for the capture point after the second foot contacts the ground surface. The robot may determine that the capture point has reached this threshold position and based on this determination, and cause the second foot to contact the ground surface.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

Abstract: A robot cleaning system, including: a cleaning robot connectable to a mopping module of the cleaning robot, and a base station provided for the cleaning robot to dock, the cleaning robot includes: a main body; a mobile module; and a connection assembly, configured to detachably dispose the mopping module on the body of the robot; the base station includes: a storage module, configured to store at least one mopping module; an operating position, for the cleaning robot to dock to replace the mopping module; and a transfer module, configured to transfer the mopping module between the storage module and the operating position; and the robot cleaning system further includes a control unit. Beneficial effects of the present disclosure are: the cleaning robot is more intelligent, and the corresponding base station is compact in structure and small in occupied area.

Abstract: A method for controlling motions of a quadruped robot based on reinforcement learning and position increment, including: acquiring motion environment information, quadruped robot attitude information, and foot sole position information; based on the acquired information, generating foot sole positions of the quadruped robot during motions within all preset time steps, and calculating a change of the foot sole positions in all the time steps; taking a maximum moving distance within a single time step as a constraint, and accumulating the time steps at the same time to obtain a foot sole position trajectory; and controlling the quadruped robot to perform corresponding actions based on the foot sole position track combined with a preset reward function, so as to keep motion balance of the quadruped robot.

Abstract: Aspects of the subject disclosure may include, for example, determining, by a robot of a group of robots, a condition of the robot to obtain a determined result. A corrective plan is identified responsive to the determined result indicating a deficiency and a determination is made as to whether the robot is configured to perform the corrective plan. The corrective plan is executed responsive to a determination that the robot is configured to perform the corrective plan. Alternatively, assistance of a robot controller is requested responsive to the determining indicating the robot is not configured to perform the corrective plan. The robot controller is requested to initiate performance of the corrective plan. Other embodiments are disclosed.

Abstract: A two wheeled throwable robot comprises an elongate chassis with two ends, a motor at each end, drive wheels connected to the motors, and a tail extending from the elongate chassis. The throwable robot includes an enable/disable arrangement comprising a pair of magnets generating a magnetic field and a magnetic field sensor positioned in proximity to the pair of magnets. The sensor is activated upon the occurrence of a specific modification of the magnetic field. The throwable robot may include a key member formed of a material to modify the magnetic field to enable the robot.

Abstract: A robotic device is disclosed that can have a plurality of non-dedicated, smart control devices. Each smart control device can provide smart functionality to control an operational function of the robotic device. In addition, a robotic system is disclosed that can include a robotic device having a local non-dedicated, smart control device providing smart functionality to control an operational function of the robotic device. The robotic device can also include a remote control device to communicate operational information with the local smart control device to facilitate user control of the robotic device.

Abstract: Navigational systems and methods include building a topological graph of an environment using nodes that represent locations in the space and associated directions, with frontiers associated with particular nodes and directions within the topological graph. An action is determined using a policy trained with an action reward function that weighs exploration to find new objects and moving objects to a goal. An agent navigates within the environment in accordance with the determined action.

Abstract: A guide robot can include a travel part to move the guide robot, a touch screen and a camera, a sensor to detect an approach of a user, and a voice reception part to receive a voice. The guide robot further includes a controller to display at least one digital signage while the guide robot is traveling, in response to detecting the approach of the user, stop the traveling of the guide robot and transition the camera from a deactivated state to an activated state, and detect a face and a face angle of the user. Also, in response to determining that the user intends to use the guide robot, the controller can trigger a voice conversation mode by activating the voice reception part, stopping the display of the at least one digital signage and outputting usage guide information for the voice conversation mode.

Abstract: A robot in accordance with at least some embodiments of the present technology includes a torso having a superior portion, an inferior portion, and an intermediate portion therebetween. The robot further includes two legs connected to the torso via the inferior portion of the torso, two arms connected to the torso via the superior portion of the torso, and a protrusion also connected to the torso via the inferior portion of the torso and extending anteriorly from the torso. The robot is configured to move an object toward the torso at least partially via contact between the object and at least one of the arms. The robot is further configured to support a weight of the object at least partially via the protrusion while the robot ambulates via the legs.

Abstract: A robot control method includes: acquiring target speed information of a robot at a next moment during walking of the robot; and adjusting a step frequency of the robot according to the target speed information and a current state of the robot. An apparatus for controlling a robot and several methods for determining whether the robot meets a step frequency switching condition are provided.

Abstract: A method and system to improve autonomous robotic system responsive behavior, to control the autonomous responsive behavior of a robotic system based on a set of simultaneously and cooperatively performed real-time action based on a plurality of acquisition sources providing relevant data about the surroundings of the system, wherein the data is processed by a set of modules globally controlled and managed by a Central Processing Module comprising a multitude of control and decision AI algorithms multidirectionally that allow define the autonomous responsive behaviors of the robotic system.

Abstract: A barrier data collection device includes a unit estimation unit that estimates, based on sensor data with position information including height at a time when a mobile body including a flying mobile body moving in the air moves, the sensor data being collected in advance about each of geographical ranges, with an estimator, about each of sets of the geographical ranges and heights included in the sensor data in a predetermined time unit, a barrier state obtained by estimating a state of which of barrier types the set is, a shape estimation unit that estimates, about a set satisfying a condition among the sets, a barrier shape based on the sensor data and an estimation result of the barrier state estimated about each of the sets in the time unit.

Abstract: A robot stability control method includes: obtaining a desired zero moment point (ZMP) and a fed-back actual ZMP of a robot at a current moment; based on a ZMP tracking control model, the desired ZMP and the actual ZMP, calculating a desired value of a motion state of a center of mass of the robot at the current moment, wherein the desired value of the motion state of the center of mass comprises a correction amount of the position of the center of mass; based on a spring-mass-damping-acceleration model and the desired value of the motion state of the center of mass, calculating a lead control input amount for the correction amount of the position of the center of mass; and controlling motion of the robot according to the lead control input amount and a planned value of the position of the center of mass at the current moment.

Abstract: An approach is provided for location sharing using a LiDAR-based location signature. The approach involves, for example, receiving a Light Detection and Ranging (LiDAR) scan of a location captured by a LiDAR sensor of a portable device. The approach also involves processing the LiDAR scan to generate a LiDAR location signature that is representative of the location of the portable device. The approach further involves transmitting the LiDAR location signature to another device to share the location of the portable device with the another device.

Abstract: A joint structure of a robot according to the present disclosure includes: a first link whose one end is connected to a first member; a second link in which one end thereof is connected to the first link and an other end thereof is connected to a second member; and a first pivot that connects an other end of the first link to the one end of the second link. The joint structure also includes: a third link whose one end is connected to the first link at a position near the first pivot; and a slide part connected to the second link so as to be slidable. An other end of the third link is connected to the slide part.

Abstract: A method to train a model for feature point detection involves obtaining a first image and a second image. The method involves generating a first score map for the first image and a second score map for the second image using the model. The method involves selecting a first plurality of interest points in the first image based on the first score map. The method involves selecting a second plurality of interest points in the second image based on the second score map. Pairwise matching of a first interest point among the first plurality of interest points with a second interest point among the second plurality of interest points is performed. Correctness of the pairwise matches is checked based on a ground truth, to generate a reward map. The score map and the reward map are compared and used to update the model.

Abstract: A suspension assembly for a cycle includes a plurality of links pivotably connected to one another by a plurality of pivots. A rotation sensor measures an angular relationship between two links and a setpoint of the suspension assembly is adjusted based on the angular measurements.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for robotics planning. One of the methods comprises receiving data defining multiple skills to be performed by one or more robots in an operating environment; invoking a projection function implemented by each skill, wherein the projection function generates a skill footprint specifying resources requested for performing the skill and a volume occupied by a corresponding entity used to perform the skill; determining that the skill footprints generated by the projection functions are in conflict; and in response, executing the skills in sequence.

Abstract: A method includes: detecting, through a sensor, a location and a movement direction of the user and an object around the user; specifying the type and the location of the detected object; if the object is a dangerous object and is located in the movement direction of the user, setting a relative position where the robot is to be located relative to the user to a lead position ahead of the user and in a direction different from the movement direction; driving at least one pair of legs or wheels of the robot to cause the robot to move to the lead position; and driving the at least one pair of legs or wheels to cause the robot to accompany the user in the lead position and induce a change in the movement direction of the user.

Abstract: Embodiments provide systems, method, and computer-readable storage media for performing robotic tasks in a distributed and coordinated manner. A fleet of robots may use a sequence of messages to appoint supervisors for a set of tasks, where the supervisor robots are responsible for ensuring that their supervised tasks are completed by other robots of the fleet. The supervisors may solicit requests from other robots to perform available tasks and select a robot to perform an available task. Once a robot is appointed, the supervisor and the worker may use messaging sequences to monitor the status of the task and participating robots (e.g., the supervisor and the worker). The monitoring may enable the supervisor to detect a failed worker and enable other robots to detect a failed supervisor.

Abstract: This invention provides a system and method for allowing motion of a robotic manipulator on an AV truck in connecting to a native gladhand on a trailer front that represents and constructs a model of this free space on-the-fly, in the manner of an Obstacle Detection and Obstacle Avoidance (OD/OA) system and process. A robotic arm on an AV truck is adapted to connect a pneumatic line to a gladhand on the trailer front. A first 3D sensor generates a pointcloud, and is located at an elevated position on the truck to image the trailer front. A second 3D sensor also generates pointclouds at during robot motion, located adjacent to an end of the robotic arm. An occlusion mapping process generates an occlusion map of the trailer front, and a map update process updates the occlusion map to add and remove voxels therefrom to allow safe guidance of the robot.

Abstract: A device and a method for controlling a robotic device are described. The method includes: carrying out a sequence of actions by the robotic device using a robot control model; ascertaining an updated policy using the carried-out sequence of actions; projecting the updated policy onto a projected policy in such a way that for each state of the plurality of states of the projected policy: a similarity value according to a similarity metric between the projected policy and the updated policy is maximized, and a similarity value according to the similarity metric between the projected policy and the initial policy is greater than a predefined threshold value; adapting the robot control model for implementing the projected policy; and controlling the robotic device, using the adapted robot control model.

Abstract: An integrated navigation system is configured to support cooperation of a plurality of different robot systems each including at least one automatic work robot operating at a production site. The integrated navigation system includes a job generation device configured to generate a job related to production based on information sent from a plurality of production facilities deployed at the production site, and a navigation device configured to generate a task, which is a work command to each of the plurality of different robot systems, based on the job, and to send the task of the robot system to each corresponding robot system.

Abstract: Disclosed is a robot cleaner including a light source for irradiating light, a sensor for sensing that the light irradiated from the light source is reflected, and a controller that processes an image using the light sensed by the sensor to calculate a distance value of an individual location of the corresponding image, wherein it is determined that there is an obstacle when there is a dead zone in the image processed by the controller.

Abstract: The present invention relates to a method for determining a touchdown position of a robot performed by a computing device, the method comprising the steps of: detecting a disturbance during swing of a first leg of the robot toward a first touchdown position, calculating a second touchdown position based on a dynamic state of the robot in response to the detection of the disturbance, identifying a step obstacle region based on terrain information of the robot and determining whether the second touchdown position belongs to the step obstacle region, and determining a third touchdown position out of the step obstacle region as the touchdown position of the first leg, in a case in which the second touchdown position belongs to the step obstacle region.

Abstract: Provided is a cleaning device including a suction port; at least one sensor configured to sense at least one object; a driver configured to open or close the suction port; a memory storing at least one instruction; and a processor configured to execute the at least one instruction stored in the memory. The processor executes the at least one instruction to sense at least one object within an area to be cleaned by the cleaning device by controlling the at least one sensor, identify a relative location of the sensed at least one object with respect to the cleaning device, determine at least a partial area within an entire area of the suction port as an open/close target area, based on the identified relative location of the at least one object, and open or close the open/close target area by controlling the driver.

Abstract: The disclosure generally pertains to systems and methods for use of a vehicle to conduct a site survey. An example method can include receiving navigation guidance to move a vehicle along a pre-defined path on a property for executing a site survey operation of the property. The site survey operation can include a staking procedure performed by a robotic arm attached to the vehicle, an image capture procedure performed by use of a camera in the vehicle, and/or a subterranean scanning procedure for detecting a buried object. In an example implementation, the staking procedure can include inserting at a first location on the property, a stake having affixed thereon, a barcode label. A barcode scanner can be used to read the barcode label for obtaining information associated with an object present at the first location.

Abstract: Modular, propelled cable-driven robotic platform systems and methods of operation are disclosed. The system includes a robotic platform suspended by a system of overhead cables, motorized cable reels and pulleys. The robotic platform is configured to be equipped with tool modules for performing respective tasks. Additionally, the tool modules each have a multirotor propulsion system. A master control computer coordinates operation of the motorized cable and propulsion systems as a function of sensor data captured by navigation sensors on-board the platform so as to maneuver the robotic platform inside an industrial plant. The system is configured to maneuver around pipings and avoid obstacles in the plant in order to maximize the effective workspace that the robotic platform can reach to perform operations including inspection or repair.

Abstract: Systems and methods for autonomous sterilization of vehicles includes coded logic or processing instructions to determine (i) when sterilization should occur (or not occur), (ii) where sterilization should occur (or not occur), and/or (iii) how sterilization should occur (e.g., which method to use, how long to conduct, and/or which parameter values/settings to employ). The sterilization system may autonomously determine when it is safe to sterilize an environment/location and/or how such sterilization should be carried out. Autonomous sterilization systems and/or processes described herein may permit facilities and/or services to remain open and/or available at higher rates than current offline processes permit, thereby increasing availability.

Abstract: A charging device and a safety function control circuit and method thereof are provided. When a charging device is not connected to a load, a converted voltage value of a power connection terminal of the charging device is kept to be lower than a safe voltage value so as to maintain a safe mode. The safety function control circuit includes a first control module and a second control module for constant voltage control. The first control module and the second control module perform matching control on a power conversion circuit of the charging device, and in case of a single fault of one of the control modules, the other module is still capable of keeping the converted voltage value to be less than the safe voltage value. Thus, it is ensured that the safe mode stays functional in case of a concurrency of both a single hardware fault and a single firmware fault.

Abstract: A robotic system and method includes at least one robot actively or passively mobile between at least first and second locations, and a first safety configuration being defined at least for said first location. A first data carrier associated to the first safety configuration is located in said first location, and the robot comprises a reader adapted to read the first data carrier when the robot is in said first location.

Abstract: A solar panel cleaning system includes a detection traveling vehicle configured to travel on a solar panel and detect dirt on the solar panel, a map generation part configured to generate a dirt map including a dirt position of the dirt on the solar panel, a cleaning path generation part configured to generate a cleaning path for performing cleaning of the solar panel, and a cleaning traveling vehicle configured to travel on the solar panel on the basis of the generated cleaning path and perform cleaning of the solar panel.

Abstract: A system for generating electrical energy, for instance at an agricultural site. The system includes at least one mobile robot, referred to as “collecting robot” and a plurality of mobile robots, referred to as “producing robots”. Each collect robot includes at least one input port adapted for coupling with an output port of a producing robot and an output port for outputting electrical energy received from each producing robot coupled with the collecting robot. Each producing robot includes a photovoltaic generator, at least one input port adapted for coupling with an output port of another producing robot, and at least one output port for outputting electrical energy generated by the producing robot and received from each other producing robot coupled with the producing robot.

Abstract: A controller for an automated machine may include including: one or more processors configured to: determine that a group affiliation of the automated machine switched from a first group of automated machines to a second group of automated machines, the first group of automated machines being assigned to one or more first tasks, the second group of automated machines being assigned to one or more second tasks; generate a message for one or more network devices of the second group of automated machines in accordance with a communication protocol, the message including information about a task performing model of the automated machine, the task performing model being based on a result of performing at least one task of the one or more first tasks by the automated machine.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Abstract: The notification system is configured to be capable of communicating with the outside, and is configured to notify the surroundings of the fact that the conveyance work is performed by a third party who has obtained permission when the vehicle is conveyed by the vehicle transportation device capable of autonomous traveling based on a notification instruction from the outside.

Abstract: Systems and methods are presented for operating a self-propelled device. In examples, an indication of a surface color on which the self-propelled device operates is received from one or more optical sensors. A color transition from a first color to a second color may be determined based on the received indication. Based on the determined color transition, an activity may be determined. For example, an activity may cause the self-propelled device to move, emit a sound, or illuminate a light, such as an LED. The determined activity may then be performed. In some examples, a hysteresis band may limit the effects of noise and other variations in the color signal. Accordingly, a color transition may occur when color values associated with the surface color indicated are within a first area but not within a second area.

Abstract: Method, sterilization system and robotic system for improving duty cycle of Ultraviolet (UV) emitter modules disinfecting closed environment. Sterilization system includes robotic system and plurality of UV emitter modules. Robotic system receives signal corresponding to discharge of battery from one of plurality of UV emitter modules. Each of plurality of UV emitter modules includes UV light source for disinfecting closed environment. Robotic system detects location of UV emitter module amongst plurality of UV emitter modules and maneuvers to location of UV emitter module, mounts UV emitter module and maneuvers UV emitter module to charging dock for charging battery of UV emitter module. After charging, robotic system maneuvers UV emitter module to pre-defined area for disinfecting pre-defined area of closed environment.

Abstract: An actuation mechanism for actuating an electromechanical end effector includes a housing, and a shaft assembly extending distally from the housing. The shaft assembly includes a shaft, a longitudinal knife bar, a first hub, and a second hub. The shaft is axially movable relative to the housing and configured to be coupled to the electromechanical end effector. Rotation of a first screw of the housing moves the first hub to effect longitudinal movement of the shaft. The longitudinal knife bar is axially movable relative to the shaft and configured to be coupled to a knife blade of the electromechanical end effector. Rotation of a second screw of the housing moves the second hub to effect axial movement of the longitudinal knife bar.

Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.

Abstract: A method of operating an autonomous cleaning robot is provided. The method includes receiving, at a handheld computing device, data representing a status of a debris collection bin of the autonomous cleaning robot, the status of the bin including a bin fullness reading. The method also includes receiving, at the handheld computing device, data representing a status of a filter bag of an evacuation station, the status of the filter bag including a bag fullness reading. The method also includes presenting, on a display of the handheld computing device, a first status indicator representing the bin fullness reading, and presenting, on the display of the handheld computing device, a second status indicator representing the bag fullness reading.

Abstract: An information processing device including: an information obtaining unit that obtains environmental information from sensor information obtained by a sensor with which an autonomous moving body is provided; an extraction unit that extracts, from the environmental information, specific environmental information to be saved; and an action control unit that controls an action of the autonomous moving body so as to output the specific environmental information to the outside.

Abstract: A robot includes a driver; a camera; and a processor configured to: during an interaction session in which a first user identified in an image obtained through the camera is set as an interaction subject, perform an operation corresponding to a user command received from the first user, and determine whether interruption by a second user identified in an image obtained through the camera occurs, and based on determining that the interruption by the second user occurred, control the driver such that the robot performs a feedback motion for the interruption.

Abstract: Methods, apparatus, and computer-readable media for determining and utilizing corrections to robot actions. Some implementations are directed to updating a local features model of a robot in response to determining a human correction of an action performed by the robot. The local features model is used to determine, based on an embedding generated over a corresponding neural network model, one or more features that are most similar to the generated embedding. Updating the local features model in response to a human correction can include updating a feature embedding, of the local features model, that corresponds to the human correction. Adjustment(s) to the features model can immediately improve robot performance without necessitating retraining of the corresponding neural network model.

Abstract: A method for cleaning the mop of a cleaning robot includes: obtaining mop usage information after the cleaning robot carries the mop to clean the floor, and selecting a target mop cleaning mode to clean the mop according to the mop usage information.

Abstract: A robot lawnmower and method for controlling the robot lawnmower based on the generation of a local map. The method including receiving an image from an imaging sensor onboard the robot lawnmower, the image including an area of ground in an upcoming path, applying a semantic segmentation algorithm to produce a segmented image from the received image, the segmented image including regions corresponding to features in the image, applying a perspective transform to the segmented image to obtain an overhead view transformed image, wherein the regions are preserved in the transformed image, determining, from the transformed image, positions of the regions relative to the current position of the robot lawnmower, plotting a local map of the environment of the robot lawnmower based on positions of the regions relative to a current position of the robot lawnmower; and controlling the robot lawnmower to navigate a lawn area using the local map.

Abstract: A floor element for an automated storage and retrieval system, which comprises a three-dimensional grid, a plurality of container handling vehicles, and multiple floor elements, each floor element arrangeable at a top end of a storage column on top of a vertical stack of containers, includes an upper surface with a substantially rectangular horizontal periphery suitable for being accommodated in a storage column. The floor element further includes lifting frame connecting elements, for releasable connection to a lifting frame, on a peripheral top section of the upper surface and a cut-out at each corner of the substantially rectangular horizontal periphery for interaction with guiding pins arranged on the lifting frame, and rail-connecting elements at the substantially rectangular horizontal periphery.

Abstract: The present disclosure provides a control method for an automatic cleaning equipment, wherein the automatic cleaning equipment includes a mobile device and a self-propelled cleaning device, in which the mobile device is used as a wireless network device to enable the self-propelled cleaning device to communicate with a hotspot function of the mobile device through a wireless network technology, the self-propelled cleaning device is connected to the cloud server through a mobile communication signal of the mobile device, and also the mobile device is connected to the cloud server by using a mobile communication technology.

Abstract: The information processing device 1D mainly includes a state-of-activity estimation unit 31D and a timing determination unit 32D. The state-of-activity estimation unit 31D estimates, based on information detected in a meeting room in which a meeting is being held, a state of activity of the meeting. The timing determination unit 32D determines a timing of mobile sales of a commodity to one or more participants of the meeting based on the state of activity estimated by the state-of-activity estimating unit 31D.