Abstract: Techniques for grasp adjustment include a computer-assisted device comprising a repositionable structure configured to support an end effector and one or more processors. The one or more processors are configured to receive one or more images of the end effector; determine, based on the one or more images, at least one of a first length between a proximal end of jaws of the end effector and a proximal end of a grasping zone, a second length corresponding to a length of the grasping zone, a third length between a distal end of the grasping zone and the distal end of the at least one jaw; or an angle between the jaws of the end effector; and adjust a force or a torque magnitude limit used to limit actuation of the end effector based on at least one of the first length, the second length, the third length, or the angle.

Abstract: Techniques for grasp adjustment include a computer-assisted device comprising a repositionable structure configured to support an end effector and one or more processors. The one or more processors are configured to receive one or more images of the end effector; determine, based on the one or more images, at least one of a first length between a proximal end of jaws of the end effector and a proximal end of a grasping zone, a second length corresponding to a length of the grasping zone, a third length between a distal end of the grasping zone and the distal end of the at least one jaw; or an angle between the jaws of the end effector; and adjust a force or a torque magnitude limit used to limit actuation of the end effector based on at least one of the first length, the second length, the third length, or the angle.

Abstract: Systems and methods for grasp adjustment based on grasp properties include a computer-assisted device. The device includes a two-jawed end effector located at a distal end of the device, a drive unit for operating the two-jawed end effector, and an image processing unit. The image processing unit is configured to receive imaging data of the end effector and recognize the end effector and a material grasped by the end effector in the received imaging data. The device is configured to adjust a force magnitude limit or a torque magnitude limit of the drive unit based on the received imaging data. In some embodiments, the image processing unit is further configured to determine one or more of a position, an orientation, a size, or a shape of the material based on the received imaging data. In some embodiments, at least one jaw of the end effector includes fiducial indicia.

Abstract: Systems and methods for grasp adjustment based on grasp properties include a computer-assisted device. The device includes a two-jawed end effector located at a distal end of the device, a drive unit for operating the two-jawed end effector, and an image processing unit. The image processing unit is configured to receive imaging data of the end effector and recognize the end effector and a material grasped by the end effector in the received imaging data. The device is configured to adjust a force magnitude limit or a torque magnitude limit of the drive unit based on the received imaging data. In some embodiments, the image processing unit is further configured to determine one or more of a position, an orientation, a size, or a shape of the material based on the received imaging data. In some embodiments, at least one jaw of the end effector includes fiducial indicia.