B25J13/082

ROBOTIC GRIPPER WITH SEAL DETECTION

Some robotic arms may include vacuum-based grippers. Detecting the seal quality between each vacuum assembly of the gripper and a grasped object may enable reactivation of some vacuum assemblies, thereby improving the grasp. One embodiment of a method may include activating each of a plurality of vacuum assemblies of a robotic gripper by supplying a vacuum to each vacuum assembly, determining, for each of the activated vacuum assemblies, a first respective seal quality of the vacuum assembly with a first grasped object, deactivating one or more of the activated vacuum assemblies based, at least in part, on the first respective seal qualities, and reactivating each of the deactivated vacuum assemblies within a reactivation interval.

Systems and methods for estimating shape, contact forces, and pose of objects manipulated by robots having compliant contact and geometry sensors

Systems and methods for estimating deformation and field of contact forces are described. A method includes generating a reference configuration including reference points in space. The reference configuration corresponds to an initial shape of a membrane prior to contact with the manipuland. The method further includes receiving raw data from a TOF device. The raw data includes points in space measured by the TOF device and indicating deformation of the membrane due to contact with the manipuland. The method further includes determining deformation of the membrane that best approximates a current configuration in a least squares sense while satisfying a discrete physical model enforced as a linear constraint that corresponds to a linearized physical model of the deformation that is discretized with an FEM, linearizing the relationship, and estimating deformation and field of contact forces by solving a least squares formulation with physical constraints cast as a sparse quadratic program.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
20170326739 · 2017-11-16 ·

A position and an orientation of an object are measured with high accuracy. An approximate position-orientation of a target object is obtained, positional information of the target object is obtained by measuring the target object using a noncontact sensor, positional information of contact positions touched by a contact sensor is obtained by bringing the contact sensor into contact with the target object, and a position-orientation of the target object is obtained by associating shape information of the target object with the positional information of the target object and the positional information of the contact positions in accordance with the approximate position-orientation.

Upper limb motion support apparatus and upper limb motion support system
11260530 · 2022-03-01 · ·

An upper limb motion support apparatus and an upper limb motion support system which are capable of significantly improving the enhancement of an operator's work efficiency and the reduction of their workload are proposed. A controller which causes an articulated arm and an end effector to perform three-dimensional motion according to the operator's intention based on a biological signal acquired by a biological signal detection unit causes the articulated arm and the end effector to perform cooperative motion in conjunction with the operator's upper limb motion by referring to content recognized by an upper limb motion recognition unit.

Systems and Methods for Tactile Gesture Interpretation

Systems and methods for facilitating handoffs between a robot and a counterpart in accordance with embodiments of the invention are illustrated. One embodiment includes a method for controlling a robot to handoff an object. The method includes steps for presenting an object to a receiver, moving an object to interrogate a grip stiffness of the receiver, and measuring a response to the moving using a set of one or more sensors. The method further includes steps for computing the grip stiffness of the receiver based on the measured response and determining whether to release the object based on the computed grip stiffness.

Gripping Device Modalities

Robotic gripping devices and methods for performing a picking operation. The methods described herein may involve positioning a gripping device with respect to an item to be grasped and then executing a first picking operation using the gripping device to obtain a grasp on the item. The methods may then involve executing at least two of a force detection procedure to detect a force applied to a portion of the gripping device, a grasping space detection procedure to detect an item in grasping range of the gripping device, a pressure detection procedure configured to detect pressure in an airflow path, and an item load detection procedure to detect force in a mechanical load path of the gripping device.

Flat gripper actuator
09737995 · 2017-08-22 · ·

Examples described here include a device that has a housing defining a cavity, and a force sensor. The device also includes a first hydraulic actuator positioned in the cavity, and a second hydraulic actuator positioned in the cavity. The first and second hydraulic actuators move between respectively relaxing modes and thrusting modes along respective longitudinal axes. The longitudinal axis of the first hydraulic actuator is substantially parallel to the longitudinal axis of the second hydraulic actuator. The device also includes a first actuated member coupled to the first hydraulic actuator, and a second actuated member coupled to the second hydraulic actuator.

WORKING METHOD AND ROBOT SYSTEM
20220032466 · 2022-02-03 ·

A working method of performing work with increase or decrease in weight on an object by a robot system having a robot, a first hand with an assist device, and a second hand without the assist device, includes switching between an assisted work state in which the first hand is coupled to the robot and work is performed with assistance by the assist device and a non-assisted work state in which the second hand is coupled to the robot and work is performed without assistance by the assist device according to a weight of the object.

TRAY HANDLING AUTONOMOUS ROBOT

An autonomous tray handling robotic system is disclosed. In various embodiments, data indicating a set of output stacks to be assembled is stored, each output stack including an associated set of trays each of a corresponding tray type. Operation of one or more robots is controlled, each robot being configured to grasp, move, and place one or more trays at a time, according to a plan, to iteratively pick trays from source stacks of trays and assemble the set of output stacks, including by building each output stack by successively placing on the output stack trays picked from one or more corresponding source stacks. Each of the robots comprises a robotic arm and a tray handling end effector configured to grasp, move, and place one or more trays without assistance from another robot.

INTEGRATED ROBOTIC END EFFECTORS HAVING END OF ARM TOOL GRIPPERS

An end of arm tool (EOAT) for use with a robotic end effector includes radially opposed gripper fingers secured to a distal end portion of the robotic end effector, each radially opposed gripper finger having a recess with a first sidewall and a second sidewall oriented at an acute angle relative to the first sidewall. The radially opposed gripper fingers are configured to translate radially to grip a part within the recesses and to release the part for placement in an assembly.