A joint acceleration planning method, a redundant robot using the same, and a computer readable storage medium are provided. The method includes: obtaining an optimization objective function, a joint acceleration inequation constraint function and a joint acceleration equation constraint function corresponding to the optimization target from a quadratic programming function library, where the optimization objective function is an objective function obtained based on the upper and lower limits of the optimization target and a Euclidean distance algorithm; and obtaining a joint acceleration planning result by performing a quadratic optimization solving on a joint acceleration of each of the target joints of the robot at time k according to the end Cartesian space speed at time k+1, the joint parameter set of the target joints of the robot at time k, the sampling period, the optimization objective function, the joint acceleration inequation constraint function, and the joint acceleration equation constraint function.

The present application discloses a wide-field-of-view anti-shake high-dynamic bionic eye. A trajectory tracking method based on a bionic eye robot includes: establishing a linear model according to a bionic eye robot; establishing a full state feedback control system on the basis of the linear model; in the full state feedback control system, acquiring an angle and an angular acceleration required for a joint in a target tracking process of the bionic eye on the basis of a preset trajectory expectation value and a preset joint angle expectation value; the method further includes: adopting a linear quadratic regulator (LQR) to calculate a parameter K in the full state feedback control system, and minimizing energy consumption by establishing an energy function, so as to optimize the coordinated head-eye motion control of the linear bionic eye. The present application achieves the optimal control of the target tracking.

A method of using inverse kinematics to control a robotic system includes receiving an input pose from a user interface to move an arm of the robotic system, calculating a remote center of motion for a desired pose from the input pose in a tool center-point frame, checking when the desire pose needs correction, correcting the desired pose of the arm, and moving the am to the desired pose in response to the input pose. The am of the robotic system including a tool having a jaw disposed at an end of the arm. Checking when the desired pose needs correction includes verifying that the remote center of motion is at or beyond a boundary distance in the desired pose. Correcting the desired pose of the arm occurs when the remote center of motion is within the boundary distance.

A controller for an inverse optimal control approach robot may control movement of a robot body toward a human target along a trajectory according to a cost function. The cost function may include may terms. A first term may be associated with a duration of the trajectory for the robot. A second term may be associated with a social force and a final distance between the robot and the human target. A third term may be associated with a lateral acceleration for the robot. A fourth term may be associated with an angular acceleration for the robot. A fifth term may be associated with a longitudinal acceleration for the robot. A sixth term may be associated with a reduction of centrifugal force applied to the robot body.

A medical system includes a manipulator arm including a movable distal portion, a proximal portion coupled to a base, and joints between the distal portion and the base. A processor coupled to the manipulator arm performs operations including calculating a first movement of the joints in a null-space of a Jacobian of the manipulator arm, the first movement being calculated in accordance with a first objective for arm-to-patient collision avoidance. The operations further include calculating a second movement of the joints in the null-space, the second movement being calculated in accordance with a second objective for arm-to-arm collision avoidance, and combining at least the first and second movements into a combined movement in a manner allowing the first objective to overpower the second objective, and driving the joints to effect the combined movement.

A search device, a search method, and a search program for causing a quantum computer to search for angles of joints of a robot such as a robot arm at which the posture of the robot satisfies a predetermined condition by using a quantum algorithm are provided. The search device includes a specifying unit that specifies a function for identifying whether or not a posture of a robot satisfies a predetermined condition, a setting unit that applies a unitary transformation formed based on the function to a plurality of qubits corresponding to an angle of a joint of the robot a number of times according to the number of the plurality of qubits and sets a quantum computer so as to search for a state of the plurality of qubits corresponding to the angle satisfying the predetermined condition according to a quantum algorithm, and a calculation unit that calculates the angle corresponding to a measurement value of the plurality of qubits.

A task hierarchical control method as well as a robot and a storage medium using the same are provided. The method includes: obtaining a task instruction for a robot, where the task instruction is for determining a target task card including an amount of selection matrices for dividing a target task into the amount of hierarchical subtasks and a controller name for executing each of the hierarchical subtasks; obtaining a null space projection matrix of each of the hierarchical subtasks based on the corresponding selection matrix; generating control finks of the amount according to the corresponding controller of each of the hierarchical subtasks and the corresponding null space projection matrix; calculating a control torque of each of the control links and obtaining a hierarchical control output quantity by adding ail the control torques; and controlling the robot to perform the target task using the hierarchical control output quantity.

A task hierarchical control method as well as a robot and a storage medium using the same are provided. The method includes: obtaining a task instruction for a robot, where the task instruction is for determining a target task card including an amount of selection matrices for dividing a target task into the amount of hierarchical subtasks and a controller name for executing each of the hierarchical subtasks; obtaining a null space projection matrix of each of the hierarchical subtasks based on the corresponding selection matrix; generating control finks of the amount according to the corresponding controller of each of the hierarchical subtasks and the corresponding null space projection matrix; calculating a control torque of each of the control links and obtaining a hierarchical control output quantity by adding ail the control torques; and controlling the robot to perform the target task using the hierarchical control output quantity.

A method for controlling a robot comprising an end effector includes: establishing at steady state between the end effector and a working surface through a preset impedance control mechanism, and adjusting a contact force between the end effector and the working surface according to a preset desired force; obtaining a contact torque generated by the contact force; controlling the end effector to rotate according to the contact torque until a pose of the end effector is consistent with a pose of the working surface; and controlling the end effector to move tangentially along the working surface.

A UV based surface disinfection system that consists of the UV light source, a robot arm, and an omni directional mobile base. The mobile robot can be programmed autonomously and be able to bring the UV light source to the centimeters away from surfaces to achieve effective and efficient surface disinfection. The mobile robot can navigate autonomously in a complicated environment to perform disinfection operation in a large area.