A robot gripper includes two fingers of a grasper assembly configured to perform grasping motions via actuation of independent cable ends of a plurality of cables, and configured to move toward or away from each other to perform the grasping motion. Wherein each gripper finger is actuated by a pair of cables, a cable of the pair slides in a flexible sheath when actuated by a motor, moving the gripper finger in an opposite direction of another cable of the pair also in a flexible sheath, providing equal motions of each cable in the pair in opposite directions. A motor assembly including the motors is mounted at a location separate from the grasper assembly with the flexible sheathing extending between the assemblies. Such that the separate assembly mounting arrangement provides an improved ratio between a gripping force of the grippers versus the robot-lifted mass of the grasper assembly.

A robot hand including a set of carpal bones, each of the carpal bones having at least one adjacent bone; and each carpal bone defining at least one socket. For each pair of adjacent carpal bones, at least one connector having a first and second end and wherein the first end and the second end are each in the form of a ball, and wherein the balls are joined by a connective element. Wherein the ball at the first end of the connector is fitted conformally into the socket of a first one of the pair of adjacent carpal bones and the ball at the second end of the connector is fitted conformally into the socket of a second one of the pair of adjacent bones, thereby joining the carpal bones together, but permitting limited relative movement.

Grippers, such as robotic grippers, and associated methods and systems are disclosed herein. One disclosed gripper includes a first compliant gripper jaw, a first push-pull assembly having a first distal end fixed on the first compliant gripper jaw, a second compliant gripper jaw, a second push-pull assembly having a second distal end fixed on the second compliant gripper jaw, and an actuator connected to both the first push-pull assembly and the second push-pull assembly.

A device for enhancing a user's grasping capability comprises a belt-like support configured to be tightly fitted about a user's part of the body; an articulated gripping element having a plurality of phalanxes: proximal, fixed to the support, intermediate and distal, which are articulated to each other by articular joints; a motor unit fixed to the support; a winding drum; a tendon partially wound on the drum and extending along the phalanxes and the joints, arranged so that, by pulling it from the drum, the phalanxes rotate about respective articular joints and move the articulated gripping element from an extended position to a gripping bow-shaped position, causing a flexion/extension movement of the articulated gripping element, the joints configured so that by releasing the tendon from the drum, the phalanxes rotate about the respective joints and move the articulated gripping element between gripping bow-shaped position and extended position.

An automatic fryer system includes a fry basket; a fryer unit having a fry vat for housing heated cooking oil and receiving the fry basket; the fryer unit including a rear wall having a fry basket hooking member located thereon for parking the fry basket; a horizontal drive system for moving the fry basket in a horizontal direction; a vertical drive system, operatively connected to the horizontal drive system, for moving the fry basket in a vertical direction; an end effector for grasping and holding the fry basket; a food product loading unit for loading food product into the fry basket; and a controller, in operational communication with the horizontal drive system; the vertical drive system, and the end effector, to control a location and an orientation of the fry basket.

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 robot comprising a chopstick, configured for at least four degrees of freedom of movement, a stiff body of shape and proportions approximate to a pool cue; an electromagnetic actuator, comprising a motor, for each degree of freedom of movement coupled with the stiff body, wherein the functional mapping from each actuator's motor current to torque output along an axis of motion is stored, and used in concert with a calibrated model of the robot for effective impedance control; and a 6-axis force/torque sensor mounted inline between the actuators and each chopstick.

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.

A grasping mechanism including a first grasping piece and a second grasping piece that are coupled with each other so as to be pivotable about a pivoting axis, a pulling pulley that is supported by the second grasping piece so as to be rotatable about a rotation axis parallel to the pivoting axis, and a wire whose distal end is secured to one grasping piece and that is wound around the pulling pulley so that a resultant force of tensile forces on both sides of the pulling pulley flanking the rotation axis generates a rotational moment about the pivoting axis in a closing direction of the second grasping piece.

A robot hand including a set of carpal bones, each of the carpal bones having at least one adjacent bone; and each carpal bone defining at least one socket. For each pair of adjacent carpal bones, at least one connector having a first and second end and wherein the first end and the second end are each in the form of a ball, and wherein the balls are joined by a connective element. Wherein the ball at the first end of the connector is fitted conformally into the socket of a first one of the pair of adjacent carpal bones and the ball at the second end of the connector is fitted conformally into the socket of a second one of the pair of adjacent bones, thereby joining the carpal bones together, but permitting limited relative movement.