A robot system includes a robot collaboratively acting with a human, a force sensor provided in the robot and detecting a force, a control unit decelerating or stopping an action of the robot based on output from the force sensor, a first temperature sensor detecting a temperature of the force sensor, and an execution unit performing warm-up operation in the robot until output from the first temperature sensor reaches a first target value.

A method of controlling a robot that performs work using an end effector on an object transported by a handler includes calculating a target position of the end effector based on a position of the object, calculating a tracking correction amount for correction of the target position in correspondence with a transport amount of the object, controlling the end effector to follow the object based on the target position and the tracking correction amount, acquiring an acting force acting on the end effector from the object using a force sensor, calculating a force control correction amount for correction of the target position to set the acting force to a target force, and controlling the acting force to be the predetermined target force by driving the manipulator based on the force control correction amount.

A first robot may include: a communication circuit configured to transmit and receive a signal; a sensor configured to detect a surrounding environment; a driving device configured to implement movement of the first robot; and a processor configured to control the first robot. The processor may determine a second voice recognition range of a second robot on the basis of a confirmation signal transmitted from the second robot. When a user is positioned outside the determined second voice recognition range, the processor may control the driving device so that the first robot follows the user.

A robotic system includes control circuitry configured to cause actuation of one or more actuators of each of a first robotic arm and a second robotic arm. The control circuitry is configured to determine a position of a first end effector of the first robotic arm and a position of a second end effector of the second robotic arm, the positions of the first end effector and the second end effector forming a virtual rail, receive manual positioning input for the first robotic arm based at least in part on sensor signals from one or more sensors of the first robotic arm, and in response to the manual positioning input, generate a first movement command to move the first robotic arm in accordance with the manual positioning input and generate a second movement command to move the second robotic arm in a manner as to maintain at least one of a position or orientation of the second end effector relative to a point on the virtual rail.

A surgical robotic system including a surgical table, a surgical robotic manipulator coupled to the surgical table and comprising a plurality of links coupled together by a plurality of joints that are operable to move with respect to one another to move the surgical robotic manipulator, at least one of the plurality of links or the plurality of joints having a portion that faces another of the plurality of links or the plurality of joints, a proximity sensing assembly coupled to the portion of the at least one of the plurality of links or the plurality of joints, the proximity sensing assembly operable to detect an object prior to the surgical robotic manipulator colliding with the object and to output a corresponding detection signal, and a processor operable to receive the corresponding detecting signal and cause the manipulator or the object to engage in a collision avoidance operation.

In variants, a method for robot control can include: receiving sensor data of a scene, modeling the physical objects within the scene, determining a set of potential grasp configurations for grasping a physical object within the scene, determining a reach behavior based on the potential grasp configuration, determining a trajectory for the reach behavior, and grasping the object using the trajectory.

One object determining system comprising: an air ejection device, configured to eject air; a distance detecting circuit, configured to detect distances between an electronic device comprising the object determining system and at least one location of an object when the air ejection device ejects air to the object; and a determining circuit, configured to determine a type of the object according to variations of the distances.

A kinematics model-free trajectory tracking method for a robotic arm includes the following steps. Obtain an actual trajectory equation r.sub.a(t) of the robotic arm at time t according to a sensor, and combines the actual trajectory equation r.sub.a(t) with a predetermined target trajectory equation r.sub.d(t) to obtain a first error function e(t). Obtain a differential equation (I) of a state change rate of a driver of the robotic arm. Obtain a second error function ϵ(t). Pass the second error function c(t) through the applied gradient neural network to obtain equation (IV). Jointly solve equation (I) and equation (IV) to obtain an joint state vector θ(t) of the robotic arm. Drive a motion of the robotic arm by a controller according to the joint state vector θ(t) of the robotic arm to complete trajectory tracking.

A method for automatically processing a structure-reinforcing member of an aircraft, including: (S1) acquiring, by a handheld laser scanner, data of an area to be reinforced of the aircraft; (S2) controlling a robotic arm to automatically grab the reinforcing member for automatic scanning; (S3) setting a cutting path in a computer aided design (CAD) digital model followed by registration with real data to obtain an actual cutting path, and cutting the reinforcing member; (S4) controlling the robotic arm to guide a cut reinforcing member to a scanning area for automatic scanning; and (S5) subjecting point cloud data of the cut reinforcing member and the area to be reinforced to virtual assembly and calculating a machining allowance to determine whether an accuracy requirement is met; if yes, ending a task; otherwise, grinding the reinforcing member automatically, and repeating steps (S4)-(S5).

A system and method for identifying a shape and pose of an object is provided. The system includes a controller and a grasping device. The grasping device includes a plurality of fingers that are moveable relative to a base. The fingers include one or more tactile sensors attached thereto. The tactile sensors are configured to collect data, such as a 2D image or 3D point cloud, based on points of contact with the object when the object is grasped. The grasping device is configured to roll the object within the fingers and collect additional data. The controller may combine the data and determine the shape and pose of the object based on the combined data.