A drive structure of a desktop robotic arm is disclosed, including a base and a turntable. The base is internally provided with a turntable drive motor and a turntable drive shaft, the turntable drive motor is drive-connected to the turntable drive shaft, and the turntable drive shaft is drive-connected to the turntable. The turntable is provided with an upper arm drive motor and a forearm drive motor. The turntable drive motor, the upper arm drive motor and the forearm drive motor are all servo motors with absolute value encoders. According to the drive structure of the desktop robotic arm, by using servo motors as the drive motors for controlling the turntable, an upper arm and a forearm, for which the absolute value encoders are correspondingly configured, control accuracy and driving power can be improved. Further, the present invention also discloses a desktop robotic arm and a robot.

A robotic system is disclosed which includes a robotic arm having n degrees of freedom, the robotic arm comprising a base and a set of serially connected links and joints connected to the base; an enabler joint assembly comprising a mounting location at which the base of the robotic arm is mounted and having a rotational axis, offset from the mounting location, about which the enabler joint assembly is configured to rotate the mounting location; and a processor configured to control a first set of motors associated with the n degrees of freedom of the robotic arm and an enabler joint motor comprising the enabler joint assembly to control operation of the robotic arm within an extended operating space defined at least in part by the n degrees of freedom of the robotic arm and an (n+1).sup.th degree of freedom provided by the enabler joint assembly.

A system comprises a database; at least one hardware processor coupled with the database; and one or more software modules that, when executed by the at least one hardware processor, receive at least one of sensory data from a robot and images from a camera, identify and build models of objects in an environment, wherein the model encompasses immutable properties of identified objects including mass and geometry, and wherein the geometry is assumed not to change, estimate the state including position, orientation, and velocity, of the identified objects, determine based on the state and model, potential configurations, or pre-grasp poses, for grasping the identified objects and return multiple grasping configurations per identified object, determine an object to be picked based on a quality metric, translate the pregrasp poses into behaviors that define motor forces and torques, communicate the motor forces and torques to the robot.

A control arm for a robotic surgical system includes a base, a swivel member, a vertical member, a horizontal member, and a drive mechanism. The swivel member is rotatably supported on the base about a first axis of rotation. The vertical member is pivotally supported on the swivel member about a second axis of rotation. The horizontal member is pivotally supported by the vertical member about a third axis of rotation. The drive mechanism is disposed on the base and is configured to independently rotate the swivel member about the first axis of rotation, to pivot the vertical member about the second axis of rotation, and to pivot the horizontal member about the third axis of rotation.

In a method of obtaining an angle of each joint of a 6-axis vertical articulated robot when a position and a posture of an end effector attached on a sixth axis are given, a predetermined amount of offset exists between a sixth axis and a fourth axis, and the method includes sequentially determining a point of interest, which is a point on a circumference of a circle having the predetermined amount as a radius, around a first intersection point, on a plane which includes the first intersection point which is an intersection point of the sixth axis and the fifth axis and the plane which is orthogonal to the sixth axis, calculating a second intersection point, which is an intersection point of the fourth axis and the third axis, when it is assumed that the point of interest is an intersection point of the fifth axis and the fourth axis, calculating an inner product value of a first vector directed from the calculated second intersection point to the point of interest and a second vector directed from the point of interest to the first intersection point, and estimating that the point of interest, when an absolute value of the inner product value is less than or equal to a predetermined threshold, is an intersection point of the fifth axis and the fourth axis.

A method of adjusting a posture of a 6-axis robot standing in a direction perpendicular or substantially perpendicular to a robot mounting surface includes specifying axis central positions of three axes located at different heights in the direction perpendicular or substantially perpendicular to the robot mounting surface of the 6-axis robot, specifying two planes including two arcs of which rotation centers are represented by two axes farther away from the robot mounting surface among the three axes, specifying a position of a predetermined point on the arc farther away from the robot mounting surface among the two arcs, and determining an angle adjustment amount of the three axes in a rotation direction and an angle adjustment amount of an axis extending between the two axes in a rotation direction based on the specified axis central positions of the three axes, the specified two planes, and the specified position of the predetermined point.

A system comprising: a database configured to store a multi-body model of a robot, the robot comprising a plurality of manipulators, and a plurality of joints and plurality of actuators and actuator motors configured to move the joints, and wherein the multi-body model includes a kinematic and geometric model of each manipulator, a catalog of models for objects to be manipulated, the models comprising a current configuration and a target configuration, and a functional mapping of sensory data to configurations of the robot and the manipulators needed to manipulate the objects; at least one hardware processor coupled with the database; and one or more software modules that, when executed by the at least one hardware processor, receive sensory data from within a constrained space, identify objects in the constrained space based on the received sensory data and the catalog of models, determine a target pose for the joints and the manipulators based on the sensory data and the current and target configurations associated with the identified object, and compute joint space positions to necessary to realize the target pose.

A system comprises a database; at least one hardware processor coupled with the database; and one or more software modules that, when executed by the at least one hardware processor, receive at least one of sensory data from a robot and images from a camera, identify and build models of objects in an environment, wherein the model encompasses immutable properties of identified objects including mass and geometry, and wherein the geometry is assumed not to change, estimate the state including position, orientation, and velocity, of the identified objects, determine based on the state and model, potential configurations, or pre-grasp poses, for grasping the identified objects and return multiple grasping configurations per identified object, determine an object to be picked based on a quality metric, translate the pre-grasp poses into behaviors that define motor forces and torques, communicate the motor forces and torques to the robot in order to allow the robot to perform a complex behavior generated from the behaviors.

The embodiments disclosed herein relate to various robotic and/or in vivo medical devices having compact joint configurations. Other embodiments relate to various medical device components, including forearms having grasper or cautery end effectors, that can be incorporated into certain robotic and/or in vivo medical devices.

A seven-degrees of freedom modular robotic device is provided for controlling an instrument, e.g. a bone-drilling or milling device with a precision of about 50 μm and maximum force of 50 N. The robotic device is a serial kinematic chain of six rotational degrees of freedom and one translational degree of freedom.