A state monitoring system for monitoring a state of a robot configured to perform work on a workpiece executes: a step of obtaining state data from a sensor and deriving a deterioration index parameter based on the obtained state data; a step of determining whether or not the deterioration index parameter is greater than a first threshold that is preset to a level lower than a level at which corrective maintenance is required; a step of further determining whether or not a frequency of having determined that the deterioration index parameter is greater than the first threshold is greater than a preset frequency threshold; and a step of suppressing an operation of the robot without stopping the robot if it is determined that the frequency is greater than the frequency threshold.

Systems (100) and methods (900) for controlling movement of an articulating arm having a plurality of joints. The methods comprise: receiving, by the controller, a command to perform a task by the articulating arm; ranking movements of the joints based on how much each said joint needs to move at a first time in order to follow the command; selecting a first subset of joints with top-ranked movements from the plurality of joints, where the subset of joints comprises less than a total number of joints contained in the plurality of joints; and causing only the joints of the first subset to move during a first timeslot of a plurality of timeslots.

A robotic line kitting system is disclosed. In various embodiments, a signal associated with an unsafe condition is received via a communication interface. In response to the signal, a controlled operation to reduce a speed of movement of a robotic instrumentality is performed prior to a safety stop of the robotic instrumentality being triggered.

A method for controlling a robot includes applying a setpoint force to a contact point; measuring a contact stiffness at the contact point; and slowing down the moving robot using its drives and/or braking the robot to apply the setpoint force to the contact point by the slowing down and/or slowed down robot depending on the measured contact stiffness, wherein the robot is slowed down before the setpoint force is reached.

A humanoid robot and its balance control method and computer readable storage medium are provided. Expected accelerations of each of a sole and centroid of a humanoid robot corresponding to a current expected balance trajectory and an expected angular acceleration of the waist corresponding to the current expected balance trajectory are obtained based on current motion data of the sole, the centroid, and the waist, respectively first, then an expected angular acceleration of each joint meeting control requirements of the sole, the centroid, and the waist while the robot corresponds to the current expected balance trajectory is calculated based on an angular velocity of the joint, the expected accelerations of the waist, the sole, and the centroid, respectively, and then each joint of the robot is controlled to move at the obtained expected angular acceleration of the joint based on the angular displacement of the joint.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing automated safety procedures for a robot. One of the methods includes receiving, by a robotic control system for a robot, a request to execute an automated safety procedure by a safety control subsystem for the robot. Each step of the automated safety procedure is iterated until an end of the automated safety procedure is reached, including if a step requires a new safety configuration, a respective safety configuration for the step is obtained and activated before performing one or more automatic actions for the step.

The present disclosure provides a redundant robotic arm control method, a redundant robotic arm, and a computer readable storage medium. The method includes: obtaining an external force acting on an end of the robotic arm and an external torque acting on each joint; calculating a first joint speed of each joint based on a degree of influence of the joint on the end in each motion dimension and the external force acting on the end; determining a zero space speed of each joint corresponding to a current position of the end based on a link torque of an external force acting on a link with respect to the joint; calculating a total joint speed based on the first joint speed and the zero space speed; and controlling the robotic arm to the move according to the total joint speed.

The disclosure relates to systems and methods for determining and adjusting an allowable maximum speed of a machine for movement in a workspace. One or more sensors monitoring the workspace are arranged to obtain a three-dimensional view of the workspace. Raw data from each of the sensors is acquired and analyzed to determine the positioning and spatial relationship between the human and machine as both move throughout the workspace. This captured data is analyzed to determine a safety protocol that includes a maximum allowable speed for each of various axes of movements for the machine, wherein the safety protocol decreases the maximum allowable speed of the machine only along the one or more axes of movement where the movement of the machine approaches the human.

A robot system for human-robot collaboration is disclosed that includes one or more proximity sensing elements disposed on the movable parts of the robot, joint position sensing sensors, and a safety control module connects the proximity sensing element and joint position sensing sensors and monitors the speed of the robot and the proximity distance to the objects and stop the robot safely when speed exceed the set limit. The safety control module switches the safety status of the robot when a set proximity distance threshold is triggered. Then, multiple embodiments of the safety status triggered by proximity sensing are introduced for different processes of the human-robot collaboration, includes separation monitoring, force limiting for bumping, and manipulation of the robot. Furthermore, embodiments of utilizing different types of sensors to implement the proximity sensing elements are also disclosed.

A self-contained truck-mounted brick laying machine can include a frame that can support packs or pallets of bricks placed on a platform. A transfer robot can pick up and move the brick(s). A carousel can be coaxial with a tower. The carousel can transfer the brick(s) via the tower to an articulated and/or telescoping boom. The bricks can be moved along the boom by, e.g., linearly moving shuttles, to reach a brick laying and adhesive applying head. The brick laying and adhesive applying head can mount to an element of the stick, about an axis which is disposed horizontally. The poise of the brick laying and adhesive applying head about the axis can be adjusted and can be set in use so that the base of a clevis of the robotic arm mounts about a horizontal axis, and the tracker component is disposed uppermost on the brick laying and adhesive applying head. The brick laying and adhesive applying head can apply adhesive to the brick and can have a robot that lays the brick. Vision and laser scanning and tracking systems can be provided to allow the measurement of as-built slabs, bricks, the monitoring and adjustment of the process and the monitoring of safety zones. The first, or any course of bricks can have the bricks pre machined by the router module so that the top of the course is level once laid.