A computer system automatically selects robot end-effectors for pick-and-place applications using a model-predictive control algorithm. The system may select an end-effector to replace an existing end-effector in order to optimize (or at least increase) throughput. The system uses a predictive model of reward, where reward of each potential grasp for each end tool is parameterized by a deep neural network. The system may also use a variety of metrics to evaluate the performance of the tool-selection algorithm, and thereby improve performance of the system.

An instrument manipulator may comprise a frame comprising an outer shell and an inner frame, the inner frame being movably coupled to the outer shell. The instrument manipulator may also include a plurality of actuator outputs protruding in a distal direction from the frame and an instrument support feature coupled to the outer shell. The instrument manipulator may further comprise a latching mechanism, the latching mechanism being configured to move the inner frame, the outer shell, or both relative to one another, so as to operably engage the plurality of actuator outputs with a plurality of actuator inputs of an instrument supported by the instrument support feature.

An instrument manipulator may comprise a frame comprising an outer shell and an inner frame, the inner frame being movably coupled to the outer shell. The instrument manipulator may also include a plurality of actuator outputs protruding in a distal direction from the frame and an instrument support feature coupled to the outer shell. The instrument manipulator may further comprise a latching mechanism, the latching mechanism being configured to move the inner frame, the outer shell, or both relative to one another, so as to operably engage the plurality of actuator outputs with a plurality of actuator inputs of an instrument supported by the instrument support feature.

A surface analyst end effector for an automated inspection and repair system for composite parts. A surface analyst system and a tool changer are supported on a chassis. A control unit of the surface analyst system is configured to conduct a bond readiness test by which the control unit directs an inspection head to place a drop of liquid onto a surface of a composite part and directs the inspection head to capture an image of the drop on the surface. The slave tool changer releasably and operatively connects the end effector to an industrial robot such that the industrial robot can move the end effector along the composite part and the inspection and repair system can signal the surface analyst to conduct a bond readiness test. The surface analyst end effector is interchangeable with other end effectors of the inspection and repair system for performing inspection and repair methods.

A surface analyst end effector for an automated inspection and repair system for composite parts. A surface analyst system and a tool changer are supported on a chassis. A control unit of the surface analyst system is configured to conduct a bond readiness test by which the control unit directs an inspection head to place a drop of liquid onto a surface of a composite part and directs the inspection head to capture an image of the drop on the surface. The slave tool changer releasably and operatively connects the end effector to an industrial robot such that the industrial robot can move the end effector along the composite part and the inspection and repair system can signal the surface analyst to conduct a bond readiness test. The surface analyst end effector is interchangeable with other end effectors of the inspection and repair system for performing inspection and repair methods.

A Hardware Module for a robotic system includes at least one sensor for measuring an internal property of the Hardware Module, a communication unit for communicating with other Hardware Modules, a data storage unit and an embedded controller. The embedded controller is configured to collect collected data, the collected data including: status data representing the current status of the Hardware Module; and operating data representing usage of the Hardware Module wherein at least part of the collected data is determined from sensor data from the at least one sensor, and the embedded controller is configured to perform at least one of: storing the collected data on the data storage unit; and transmitting the collected data via the communication unit.

The invention relates to a surgical system for cutting an anatomical structure (F, T) of a patient according to at least one target plane defined in a coordinate system of the anatomical structure, comprising: (i) a robotic device (100) comprising: —an end effector (2), —an actuation unit (4) having at least three motorized degrees of freedom, configured for adjusting a position and orientation of the end effector (2) relative to each target plane, —a passive planar mechanism (24) connecting the terminal part (40) of the actuation unit (4) to the end effector (2); (ii) a tracker (203) rigidly attached to the end effector (2), (iii) a tracking unit (200) configured to determine in real time the pose of the end effector (2) with respect to the coordinate system of the anatomical structure, a control unit (300) configured to determine the pose of the end effector with respect to the target plane and to control the actuation unit so as to bring the cutting plane into alignment with the target plane.

In an embodiment, a method during execution of a motion plan by a robotic arm includes determining a voice command from speech of a user said during the execution of the motion plan, determining a modification of the motion plan based on the voice command from the speech of the user, and executing the modification of the motion plan by the robotic arm.

A robotic system including a long-stroke and force-control parallel gripper. The parallel gripper may include an electric motor and siding mechanism to allow the length of the stroke of the fingers to be greater than the distance traveled. The parallel gripper also includes interchangeable fingers that may be engaged and disengage by the robotic system using a secured finger housing and latching mechanism.

In an embodiment, a method and system use various sensors to determine a shape of a collection of materials (e.g., foodstuffs). A controller can determine a trajectory which achieves the desired end-state, possibly chosen from a set of feasible, collision-free trajectories to execute, and a robot executes that trajectory. The robot, executing that trajectory, scoops, grabs, or otherwise acquires the desired amount of material from the collection of materials at a desired location. The robot then deposits the collected material in the desired receptacle at a specific location and orientation.