Methods, systems, and apparatus, including computer-readable storage devices, for robot navigation using 2D and 3D path planning. In the disclosed method, a robot accesses map data indicating two-dimensional layout of objects in a space and evaluates candidate paths for the robot to traverse. In response to determining that the candidate paths do not include a collision-free path across the space for a two-dimensional profile of the robot, the robot evaluates a three-dimensional shape of the robot with respect to a three-dimensional shape of an object in the space. Based on the evaluation of the three-dimensional shapes, the robot determines a collision-free path to traverse through the space.

The present invention relates to a method, such as a surgical method for assisting a surgeon for placing screws in the spine using a robot attached to a passive structure. The present invention also related to a method, such as a surgical method for assisting a surgeon for removing volumes in the body of a patient using a robot attached to a passive structure and to a device to carry out said methods. The present invention further concerns a device suitable to carry out the methods according to the present invention.

An alternative to additive manufacturing is disclosed, introducing an end-to-end workflow in which discrete building blocks are reversibly joined to produce assemblies called digital materials. Described is the design of the bulk-material building blocks and the devices that are assembled from them. Detailed is the design and implementation of an automated assembler, which takes advantage of the digital material structure to avoid positioning errors within a large tolerance. To generate assembly sequences, a novel CAD/CAM workflow is described for designing, simulating, and assembling digital materials. The structures assembled using this process have been evaluated, showing that the joints perform well under varying conditions and that the assembled structures are functionally precise.

A surgical manipulator and method of operating the same. The surgical manipulator includes an arm with a plurality of links and joints, wherein an angle between adjacent links forms a joint angle. The arm includes a distal end configured to support a surgical instrument with an energy applicator. At least one controller is coupled to the arm and models the surgical instrument and the energy applicator as a virtual rigid body. The controller(s) determine a commanded pose for the surgical instrument and the energy applicator based on a summation of a plurality of forces and/or torques, wherein the plurality of forces and/or torques are selectively applied to the virtual rigid body to emulate orientation and movement of the surgical instrument and the energy applicator. The controller(s) determine commanded joint angles for the arm that place the surgical instrument and the energy applicator according to the commanded pose.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, by one or more non-real-time processors, data defining a light illumination pattern for a robotic device. Generating, by the one or more non-real-time processors and based on the data, a spline that represents the light illumination pattern, where a knot vector of the spline defines a timing profile of the light illumination pattern. Providing the spline to one or more real-time processors of the robotic system. Calculating, by the one or more real-time processors, an illumination value from the spline at each of a plurality of time steps. Controlling, by the one or more real-time processors, illumination of a lighting display of the robotic system in accordance with the illumination value of the spline at each respective time step.

A system is provided that furnishes expert procedural guidance based upon patient-specific data gained from surgical instruments incorporating sensors on the instrument's working surface, one or more reference sensors placed about the patient, sensors implanted before, during or after the procedure, the patient's personal medical history, and patient status monitoring equipment. Embodiments include a system having a surgical instrument with a sensor for generating a signal indicative of a property of a subject tissue of the patient, which signal is converted into a current dataset and stored. A processor compares the current dataset with other previously stored datasets, and uses the comparison to assess a physical condition of the subject tissue and/or to guide a procedure being performed on the tissue.

A method for determining a shape of a lumen in an anatomical structure comprises reading information from a plurality of strain sensors disposed substantially along a length of a flexible medical device when the flexible medical device is positioned in the lumen. When the flexible medical device is positioned in the lumen, the flexible medical device conforms to the shape of the lumen. The method further comprises computationally determining, by a processing system, the shape of the lumen based on the information from the plurality of strain sensors.

Aspects of the disclosure include a torque sensor arrangement configured to attach between a first part and a second part to sense torque therebetween, the torque sensor arrangement comprising an interface member having on its exterior an engagement configuration configured to rotationally engage the first part, a torsion member comprising a deflectable body attached at one end thereof to the interface member and comprising, at the other end of the deflectable body, an engagement configuration configured to fixedly engage the second part, and a deflection sensor attached to the deflectable body, wherein the interface member defines a rigid sleeve extending around the deflectable body and the torque sensor arrangement further comprises a bushing located between and in contact with both the sleeve and the deflectable body.

An automated system that can be used for prosthetic heart valve manufacturing or suturing procedures. The system can include a first automated fixture that includes an articulating arm and a target device holder. The system can also include one or more additional automated fixtures, which can be configured as one or more suturing arms that include another articulating arm and a needle holder. The first automated fixture can be configured to rotate a target device held by the holder to allow the one or more additional automated fixtures to perform operations such as form sutures on the target device without intervention of a human operator. The system can include a display system configured to display status information of a suturing procedure.

Grasping of an object, by an end effector of a robot, based on a grasp strategy that is selected using one or more machine learning models. The grasp strategy utilized for a given grasp is one of a plurality of candidate grasp strategies. Each candidate grasp strategy defines a different group of one or more values that influence performance of a grasp attempt in a manner that is unique relative to the other grasp strategies. For example, value(s) of a grasp strategy can define a grasp direction for grasping the object (e.g., “top”, “side”), a grasp type for grasping the object (e.g., “pinch”, “power”), grasp force applied in grasping the object, pre-grasp manipulations to be performed on the object, and/or post-grasp manipulations to be performed on the object.