Abstract: A humanoid robot control method, a mobile machine using the same, and a computer readable storage medium are provided. The method includes: mapping posture information of leg joints of a human body to leg joint servos of a humanoid robot to obtain an expected rotation angle and an expected rotation angular velocity of non-target optimized joint servos of the leg joint servos and an expected rotation angle and an expected rotation angular velocity of target optimized joint servos of the leg joint servos; obtaining an optimization objective function corresponding to the target optimized joint servos of the leg joint servos; optimizing the expected rotation angle and the expected rotation angular velocity of the target optimized joint servos to obtain a corrected expected rotation angle and a corrected expected rotation angular velocity of the target optimized joint servos; and controlling each of the leg joint servos of the humanoid robot.

Abstract: A procedure for a positioning of an aircraft is provided. An airspace user initiates using of a service provided by an air traffic manager and sends identifying data to the air traffic manager, the air traffic manager registers an aircraft identifier, carries out a standalone positioning. As the aircraft identifier, an International Mobile Subscriber Identity (IMSI) number of a code card connected to a switched on on-board device and placed on board the aircraft is used, the airspace user logs in to a cellular network contracted by the air traffic manager, time stamps emitted by at least three cellular base stations are recorded, then observed time difference of arrival data proportionate to a distance from the at least three cellular base stations are calculated, the observed time difference of the arrival data are sent through the cellular network to a location based server.

Abstract: A proximity detection system includes a proximity sensor that is a capacitive sensor mounted on a mounting position on a robot, the proximity sensor being configured to detect proximity between the mounting position and an object; and a shield signal output unit configured to apply a shield signal for preventing the proximity sensor from detecting proximity of another position of the robot other than the mounting position.

Abstract: An information processing device converts first information for manipulating a robot model inputted into a manipulation terminal connected with a simulation device configured to execute a simulation for causing the robot model to perform a simulated operation and operated by a remote user of the simulation device, into second information for manipulating the robot model of the simulation device, operates the simulation device according to the second information, and causes the manipulation terminal to present information on the operation of the robot model of the simulation device configured to operate according to the second information.

Abstract: In a method for operating a computer having a user interface, e.g., a graphical and/or interactive user interface, a robot, which has members, e.g., arms, rotatable relative to each other and a tool and/or a load, are displayed graphically. One of the members is selectable from an indicated set of members, and a value of an inertial characteristic, e.g., a value of the mass, of this member is able to be inputted. The value of the mass of the member, the position of the center of mass of the member, and both the magnitude and the direction of each of the principal axes of inertia of the selected member are displayed graphically.

Abstract: A robotic line kitting system is disclosed. Data indicating for each of a plurality of operating zones comprising a workspace with which the robotic line kitting system is associated a corresponding safety state information is stored. The data is used to dynamically schedule and perform tasks associated with a higher level objective, including by operating the one or more robotic instrumentalities in one or more operating zones, if any, indicated by the data to currently be available to perform tasks using the one or more robotic instrumentalities and by not operating the one or more robotic instrumentalities in one or more operating zones, if any, indicated by the data to not currently be available to perform tasks using the one or more robotic instrumentalities.

Abstract: This application provides a method for determining an automatic parking strategy. The method includes: determining, a target parking action corresponding to a current parking stage performing the target parking action; obtaining feedback information, where the feedback information is used to indicate whether a result of performing the target parking action reaches a predetermined objective, and the predetermined objective is a predetermined position of the vehicle relative to a target parking spot, and/or the predetermined objective is a status of the vehicle in the parking process; and updating the automatic parking strategy based on the feedback information. In the foregoing method, the entire parking process is divided into several parking stages, and a control strategy is obtained by using a different method at each stage. This can increase a success rate of automatic parking in a complex parking scenario.

Abstract: A method and computing system for performing the method are presented. The method may include receiving image information representing an object; identifying a set of one or more matching object recognition templates associated with a set of one or more detection hypotheses. The method may further include selecting a primary detection hypothesis associated with a matching object recognition template; generating a primary candidate region based on the matching object recognition template; determining at least one of: (i) whether the set of one or more matching object recognition templates has a subset of one or more remaining matching templates, or (ii) whether the image information has a portion representing an unmatched region; and generating a safety volume list based on at least one of: (i) the unmatched region, or (ii) one or more additional candidate regions that are generated based on the subset of one or more remaining matching templates.

Abstract: A lab system accesses a first protocol for performance by a first robot in a first lab. The first protocol includes a set of steps, each associated with an operation, reagent, and equipment. For each of one or more steps, the lab system modifies the step by: (1) identifying one or more replacement operations that achieve an equivalent or substantially similar result as a performance of the operation, (2) identifying replacement equipment that operates substantially similarly to the equipment, and/or (3) identifying one or more replacement reagents that, when substituted for the reagent, do not substantially affect the performance of the step. The lab system generates a modified protocol by replacing one or more of the set of steps with the modified steps. The lab system selects a second lab including a second and configures the second robot to perform the modified protocol in the second lab.

Abstract: The disclosure describes various embodiments for detecting an unexpected control state of an autonomous driving system. According to an embodiment, an exemplary method of detecting an unexpected control state of an autonomous driving system include the operations of generating environmental data of a vehicle; determining, by the autonomous driving system, a first control state based on the environmental data of the vehicle; determining, by a reference model, a second control state based on the environmental data, wherein the reference model defines at least one scenario each corresponding to a plurality of expected control states and a state switching condition, and in each of the expected control states corresponding to the scenario, an action of the vehicle in the scenario obeys a traffic rule; and determining the unexpected control state of the autonomous driving system by comparing the first control state with the second control state.

Abstract: A method for detecting a ground attribute of a legged robot includes obtaining a collision audio of a foot of the legged robot with a ground; and detecting a workable level attribute of the ground in a working environment of the legged robot according to the collision audio. The sound of the collision between the foot of the robot and the ground is collected, and the workable level attribute of the ground in the working environment of the legged robot is detected based on the sound, so that the operable level attribute can be effectively used to control the legs of the legged robot. On the one hand, the motion noise of the legged robot can be reduced, and on the other hand, the power consumption of the legged robot can be reduced, thereby increasing its range of motion.

Abstract: A method for interconnecting a first robot with at least one second robot, each robot including at least: a first program, a second program, a third program, the method including the following steps, implemented by the second program after reception of a first message from the third program: conversion of the first message into a second message, the second message being formatted according to a predefined object structure including a field typ_msg indicating a type of the message amongst the types: command, query, or information; transmission of the second message to at least one program amongst: a first program belonging to the same robot, a second program of another robot.

Abstract: In a warning apparatus, a restriction unit performs restriction of the issuance of a warning about a ghost from an issuing unit. A trajectory calculator calculates an estimated trajectory of each of first and second target objects. A cancelling unit cancels the restriction of the issuance of the warning about the ghost from the issuing unit upon determination that a predetermined cancelation condition is satisfied for the first and second target objects. The cancelation condition includes a condition that a passing distance between the first and second target objects is larger than a predetermined distance threshold.

Abstract: A ground reaction force load difference calculation unit configured to calculate a ground reaction force load difference that is an amount of a load relief for a user, on the basis of a first measured value that a weight, based on a weight of the user and a weight of the load reduction device that reduces a load on the user and has a mechanism that holds luggage and is at least worn by the user, is transmitted to a ground contact surface and of a second measured value that a weight based on the weight of the user is transmitted to the ground contact surface; and a torque control unit configured to control, on the basis of the ground reaction force load difference, torque that is output by the load reduction device to reduce the load on the user at an joint of each leg of the user.

Abstract: A method includes generating a parameter of a trajectory associated with a scenario using a path planner. The parameter is generated based on a training dataset. The method includes comparing the parameter of the trajectory against a validation parameter associated with a validation dataset. The validation parameter is based on human-based vehicle driving trajectory data associated with scenarios that satisfy a level of similarity with the scenario. The method further includes determining a level of similarity between the parameter associated with the scenario and the validation parameter associated with the scenarios, and, subsequent to determining that the level of similarity fails to satisfy a similarity threshold, the method concludes with providing training data associated with the scenario to the training dataset so that a subsequent parameter of a subsequent trajectory generated by the path planner and associated with the scenario satisfies the level of similarity against the validation parameter.

Abstract: An automation server accesses a task for a robotic device. The automation server generates motor control commands for the robotic device to complete the task. The automation server transmits, via a network and in a format defined by an Application Program Interface (API), the motor control commands from the automation server to a fleet manager associated with the robotic device, the motor control commands for forwarding from the fleet manager to the robotic device. The automation server receives, from one or more sensors attached to the robotic device and via the network, robotic device sensor data. The automation server receives, from multiple remote sensors and via the network, remote sensor data. The automation server adjusts the generated motor control commands to complete the task based on the robotic device sensor data and the remote sensor data.

Abstract: A biped robot gait control method as well as a robot and a computer readable storage medium are provided. During the movement, the system obtains a current supporting pose of a current supporting leg of the biped robot, and calculates a relative pose between the supporting legs based on the current supporting pose and a preset ideal supporting pose of a next step. The system further calculates modified gait parameters of the next step based on the relative pose between the two supporting legs and a joint distance between left and right ankle joints in an initial state of the biped robot when standing. Finally, the system controls the next supporting leg to move according to the modified gait parameters.

Abstract: A handling appliance, in particular a robot, includes at least one handling device that is movable in at least one direction of movement, a collision protection device configured for limiting contact forces due to collisions of the handling device with objects, and an acquisition device. The collision protection device includes a kinematic system that mechanically enables a relative movement of the handling device relative to the carrier of the handling device and that can be inhibited by at least one actuator device. The acquisition device determines forces acting on the actuator device and/or the handling device and on components of the collision protection device decoupled by the actuator device, and the collision protection device accounts for the forces and, via the actuator device, in the absence of a collision prevents, and in the case of a collision triggers and/or enables, relative movement of the handling device relative to the carrier.

Abstract: A robot interference checking motion planning technique using point sets. The technique uses CAD models of robot arms and obstacles and converts the CAD models to 3D point sets. The 3D point set coordinates are updated at each time step based on robot and obstacle motion. The 3D points are then converted to 3D grid space indices indicating space occupied by any point on any part. The 3D grid space indices are converted to 1D indices and the 1D indices are stored as sets per object and per time step. Interference checking is performed by computing an intersection of the 1D index sets for a given time step. Swept volumes are created by computing a union of the 1D index sets across multiple time steps. The 1D indices are converted back to 3D coordinates to define the 3D shapes of the swept volumes and the 3D locations of any interferences.

Abstract: A method and system for dynamic collision avoidance motion planning for industrial robots. An obstacle avoidance motion optimization routine receives a planned path and obstacle detection data as inputs, and computes a commanded robot path which avoids any detected obstacles. Robot joint motions to follow the tool center point path are used by a robot controller to command robot motion. The planning and optimization calculations are performed in a feedback loop which is decoupled from the controller feedback loop which computes robot commands based on actual robot position. The two feedback loops perform planning, command and control calculations in real time, including responding to dynamic obstacles which may be present in the robot workspace. The optimization calculations include a safety function which efficiently incorporates both relative position and relative velocity of the obstacles with respect to the robot.