A feedforward control method comprising steps of: acquiring kinematic parameters of each joint of a robot based on inverse kinematics according to a pre-planned robot motion trajectory, and setting a center of a body of the robot as a floating base; determining a six-dimensional acceleration of a center of mass of each joint of the robot in a base coordinate system using a forward kinematics algorithm, based on the kinematic parameters of each joint of the robot, and converting the six-dimensional acceleration of the center of mass of each joint of the robot in the base coordinate system to a six-dimensional acceleration in a world coordinate system; and calculating a torque required by a motor of each joint of the robot using an inverse dynamic algorithm, and controlling the motors of corresponding joints of the robot.

A system and method of maintaining a tool position and orientation for a computer-assisted device include a control unit and an articulated structure coupled to the control unit and including a plurality of joints. The articulated structure is configured to support an instrument. The control unit is configured to determine an error that is introduced to a position of the instrument, an orientation of the instrument, or both the position of the instrument and the orientation of the instrument by movement of a first joint of the plurality of joints; and drive at least a second joint of the plurality of joints to reduce the error.

A humanoid robot balance control method, a humanoid robot, and a storage medium are provided. The method includes: obtaining a task equation of each of a plurality of deconstructed tasks in a corresponding control cycle by solving a plurality of deconstructed task models using a relevant actual state and a corresponding expected state of the humanoid robot; calculating an optimal solution of a multi-task error optimization function based on each task equation; and generating a joint control instruction of the corresponding control cycle based on the optimal solution in response to the optimal solution being obtained within the corresponding control cycle so as to control corresponding joint(s) to execute the tasks. In such manner, it can ensure that the robot satisfies the necessary constraints while executing multiple tasks, and also comprehensively considers the errors of all the tasks to ensure the execution of all the tasks.

A controller of the robot apparatus performs approaching control for making a second workpiece approach a first workpiece and position adjustment control for adjusting a position of the second workpiece with respect to a position of the first workpiece. The approaching control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by a first camera, and making the second workpiece approach the first workpiece. The position adjustment control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by the first camera and an image captured by the second camera, and precisely adjusting a position of the first workpiece with respect to the second workpiece.

A method for controlling a robot device. The method includes acquiring an image(s) of in a workspace of the robot device; determining, by a neural network, object hierarchy information specifying stacking relations of the objects with respect to each other in the workspace of the robot device and confidence information for the object hierarchy information from the image(s); if the confidence information indicates a confidence above a confidence threshold, manipulating an object of the objects; if the confidence information indicates a confidence lower than the confidence threshold, acquiring an additional image of the objects and determining, by the neural network, additional object hierarchy information specifying stacking relations of the objects with respect to each other in the workspace of the robot device and additional confidence information for the additional object hierarchy information from the additional image and control the robot using the additional object hierarchy information.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for avoiding singular configurations of a robot. A singular configuration of the robot is obtained. A location of an end effector of the robot when the robot is in the singular configuration is determined. For each of a plurality of voxels in a workcell, a distance from the voxel to the location of the end effector when the robot is in the singular configuration is computed. A negative potential gradient of the computed distance is computed. Control rules are generated, wherein the control rules, when followed by the robot, offset the trajectory of the robot according to the negative potential gradient.

Certain aspects relate to systems and techniques for surgical robotic arm admittance control. In one aspect, there is provided a system including a robotic arm and a processor. The processor may be configured to determine a force at a reference point on the robotic arm based on an output of a torque sensor and receive an indication of a direction of movement of the reference point. The processor may also determine that a component of the force is in the same direction as the direction of movement of the reference point, generate at least one parameter indicative of a target resistance to movement of the robotic arm, and control the motor, based on the at least one parameter, to move the robotic arm in accordance with the target resistance.

Devices, systems, and methods for positioning an end effector or remote center of a manipulator arm by floating a first set of joints within a null-perpendicular joint velocity sub-space and providing a desired state or movement of a proximal portion of a manipulator arm concurrent with end effector positioning by driving a second set of joints within a null-space orthogonal to the null-perpendicular space. Methods include floating a first set of joints within a null-perpendicular space to allow manual positioning of one or both of a remote center or end effector position within a work space and driving a second set of joints according to an auxiliary movement calculated within a null-space according to a desired state or movement of the manipulator arm during the floating of the joints. Various configurations for devices and systems utilizing such methods are provided herein.

A robot control device includes: a creep-information storage unit that stores an amount of bending in correspondence with a cumulative time, the bending occurring in a robot due to creep deformation; a mastering-data storage unit that stores mastering data of the robot; a timer that measures the cumulative time; and a correction unit that corrects the mastering data stored in the mastering-data storage unit based on the amount of bending stored in the creep-information storage unit in correspondence with the cumulative time measured by the timer.

A link actuation apparatus that actuates a parallel link mechanism where a spherical drive mechanism is constructed includes a controller configured to calculate, based on spherical trigonometry, an attitude of a second link hub from angles β.sub.A1 and β.sub.A2 that represent the attitude of a first end link member with respect to a first link hub in two of at least three link mechanisms. The link actuation apparatus capable of performing forward transformation in real time is thus provided.