The present disclosure is directed to a non-intrusive, integrated system comprising an umpire bot for automatically monitoring, umpiring, scoring, analytics, learning and coaching for players while eliminating need for human umpires and scorers. The automated umpire bot with intelligent telescopic function monitors, cognitively recognizes and captures movements from all equipment's, analyses them, moves up and down and even avoid ball collision travelling towards it. The non-intrusive real time system captures all the game moments right from players initiation, toss of coin, commencement of game, monitoring field positions, keeping scores, umpiring decisions, overs, valid/in-valid deliveries, validating balls per over, wickets, catches, boundaries, sixes and displaying scores and statistics all throughout the game.

Provided is a system for robotic collaboration. A first robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor of the first robotic device effectuates first operations including: receiving first information from a processor of a second robotic device; actuating the first robotic device to execute a first action based on the first information; and transmitting second information to the processor of the second robotic device. The second robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor of the second robotic device effectuates second operations including: receiving the second information transmitted from the processor of the first robotic device; actuating the second robotic device to execute a second action based on the second information; and transmitting third information to the processor of the first robotic device.

A human-computer interface system having an exoskeleton including a plurality of structural members coupled to one another by at least one articulation configured to apply a force to a body segment of a user, the exoskeleton comprising a body-borne portion and a point-of-use portion; the body-borne portion configured to be operatively coupled to the point-of-use portion; and at least one locomotor module including at least one actuator configured to actuate the at least one articulation, the at least one actuator being in operative communication with the exoskeleton.

According to one exemplary embodiment, an apparatus, system, method and/or computer program product may provide an athletic training performance analysis apparatus including at least one athletic training performance analysis device including at least one electronic sensor coupled to the at least one athletic training performance analysis device; at least one user interface coupled to the at least one athletic training performance analysis device configured to interact with a user to receive a user selection of at least one training performance analysis routine, the at least one user interface may include: at least one electronic computer processor coupled to the at least one electronic sensor; at least one input device coupled to the at least one electronic computer processor to receive the user selection; at least one output device coupled to the at least one electronic computer processor to provide output to the user; at least one electronic memory coupled to the at least one electronic computer processor; and at least one of: wherein the at least one electronic computer processor is configured to save or retrieve the at least one training performance analysis routine from the at least one memory; where the at least one electronic computer processor is configured to electronically monitor and electronically analyze the at least one training performance analysis routine based on the at least one electronic sensor; wherein the at least one electronic computer processor is configured to randomize at least one challenge by the at least one athletic training performance analysis device; or wherein the electronic computer processor is configured to at least one of: combine a plurality of previously saved of the at least one training performance analysis routine, or shuffle a plurality of previously saved of the at least one training performance analysis routine.

The disclosure provides a method for generating a joint command. The method includes receiving a maneuver script including a plurality of maneuvers for a legged robot to perform where each maneuver is associated with a cost. The method further includes identifying that two or more maneuvers of the plurality of maneuvers of the maneuver script occur at the same time instance. The method also includes determining a combined maneuver for the legged robot to perform at the time instance based on the two or more maneuvers and the costs associated with the two or more maneuvers. The method additionally includes generating a joint command to control motion of the legged robot at the time instance where the joint command commands a set of joints of the legged robot. Here, the set of joints correspond to the combined maneuver.

The present technology relates to an autonomous mobile body, an information processing method, a program, and an information processing apparatus capable of improving user experience by an output sound of the autonomous mobile body.

The autonomous mobile body includes: a recognition unit that recognizes a motion of its own device; and a sound control unit that controls an output sound output from the own device. The sound control unit controls output of a plurality of operation sounds that is the output sound corresponding to a plurality of the motions of the own device, and changes the operation sound in a case where the plurality of motions has been recognized. The present technology can be applied to, for example, a robot.

A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.

A robot control system includes: a mobile robot that controls movement of an object; an estimation unit that estimates a position of the object based on detection information of the object acquired by first sensors installed on base portions of the mobile robot; and a control unit that controls an end effector of the mobile robot. The control unit moves the end effector to the position estimated by the estimation unit, and controls the movement of the object using the end effector when a distance between the object and the second sensor acquired by the second sensor is equal to or less than a distance threshold value.

The present disclosure relates to a user interactive electronic system, the user interactive electronic system comprising a robotic arm and at least an attachment detachably affixed to a distal end of the robotic arm. The present disclosure also relates to a method for operating such a user interactive electronic system and to a computer program product.

A system for controlling interactions between a plurality of real and virtual robots, includes one or more real robots present in the real environment, one or more virtual robots present in a virtual environment corresponding to the real environment, and a processing device operable to control interactions between one or more of the real robots and one or more of the virtual robots, where the interactions between the real and virtual robots are dependent upon at least the positions of the one or more real robots in the real environment and the positions of the one or more virtual robots in the virtual environment.