An automated food production work cell includes a robotic system that utilizes a food-grade robotic gripper to transfer individual food items. The robotic gripper is constructed using food-grade materials and includes finger structures that are linearly movably connected by linear bearings to parallel guide rods and are independently driven by a non-contact actuating system to grasp targeted food items disposed on a first work surface, to hold the targeted food items while the robotic system moves the gripper to a second work surface, and to release the targeted food items onto the second work surface. Encoding and external sensing systems facilitate fully automated food transfer processes. Optional sensor arrays are disposed on tip portions of the finger structures to provide feedback data (e.g., grasping force/pressure). Two or more pairs of independently controlled finger structures are provided to facilitate the transfer of multiple food items during each transfer process.

The present disclosure discloses an autonomous mobile grabbing method for a mechanical arm based on visual-haptic fusion under a complex illumination condition, which mainly includes approaching control over a target position and feedback control over environment information.

According to the method, under the complex illumination condition, weighted fusion is conducted on visible light and depth images of a preselected region, identification and positioning of a target object are completed based on a deep neural network, and a mobile mechanical arm is driven to continuously approach the target object; in addition, the pose of the mechanical arm is adjusted according to contact force information of a sensor module, the external environment and the target object; and meanwhile, visual information and haptic information of the target object are fused, and the optimal grabbing pose and the appropriate grabbing force of the target object are selected.

By adopting the method, the object positioning precision and the grabbing accuracy are improved, the collision damage and instability of the mechanical arm are effectively prevented, and the harmful deformation of the grabbed object is reduced.

Deformable sensors and methods for modifying membrane stiffness are provided. A deformable sensor may include a membrane coupled to a housing to form a sensor cavity. The deformable sensor may further include a rotational element having an adjustable vertical position and a modifiable rotation. The rotational element may be supported at a base of the sensor cavity. The rotational element may be configured to establish and withdraw contact with respect to the membrane to modify stiffness of the membrane. The rotational element may further be configured to modify stiffness of the membrane by withdrawing the rotational element from the membrane.

Deformable sensors and methods for magnetically modifying membrane stiffness are provided. A deformable sensor may include a membrane coupled to a housing to form a sensor cavity. The deformable sensor may further include a first magnet located on an inner surface of the membrane in the sensor cavity. The deformable sensor may additionally include a magnetic object located at a base within the sensor cavity. The magnetic object may be configured to modifiably repel the first magnet and modify stiffness of the deformable sensor based upon the modified repulsion.

A method of setting a target force upper limit for a robot gripping an object with a gripping unit and operating by force control to bring an acting force close to a target force, includes gripping the object with the gripping unit, performing a pressing operation to press the object gripped by the gripping unit against a contact surface by the force control, performing a pressing force acquisition operation to acquire the force acting on the gripping unit during the pressing operation as a pressing force, repeating a setting change operation to increase the target force, the pressing operation, and the pressing force acquisition operation until a state in which the pressing force is not equal to or larger than the target force appears, and setting a target force upper limit based on the pressing force acquired in the pressing force acquisition operation at a time when the state appears.

A robotic system for presenting a payload within a workspace includes a pair of serial robots configured to connect to the payload, a parallel robot coupled to a distal end of one of the serial robots such that the parallel robot is disposed between the distal end and the payload, a sensor situated within a kinematic chain extending between the distal end and the payload, and a robot control system (RCS). The sensor outputs a sensor signal indicative of a measured property of the payload. The RCS includes a coordinated motion controller configured to control the serial robots, and a corrective motion controller configured to control the parallel robot. Parallel robot control occurs in response to the sensor signal concurrently with control of the serial robots in order to thereby modify the property of the payload in real-time.

A piezoelectric sensor includes an elastic body having a first surface, a regulatory section which is disposed at a position where the regulatory section faces the first surface of the elastic body, and which is configured to limit a deformation of the elastic body, and a first piezoelectric element which is partially fixed to the regulatory section, and which deforms in accordance with the deformation of the elastic body, wherein the first piezoelectric element outputs a voltage signal which increases and decreases from a reference voltage in accordance with a direction of the deformation.

Waveguides, such as light guides, made entirely of elastomeric material or with indents on an outer surface are disclosed. These improved waveguides can be used in scissors, soft robotics, or displays. For example, the waveguides can be used in a strain sensor, a curvature sensor, or a force sensor. In an instance, the waveguide can be used in a hand prosthetic. Sensors that use the disclosed waveguides and methods of manufacturing waveguides also are disclosed.

A robot skin apparatus includes polymer membranes encapsulating a pressure sensor. The sensor includes piezo-sensitive material in contact with a pair of electrodes in spaced relationship to form a circuit. The apparatus may include a flexible substrate, with the electrodes thereon. The piezo-sensitive material may be piezoresistive film. The electrodes may be symmetrically patterned on the substrate to form a substantially circular peripheral boundary. The apparatus may include pressure sensors on opposite sides of a plane for temperature compensation, a plurality of pressure sensors arrayed on the substrate, and a data acquisition system. A method of fabricating the apparatus includes a wet lithography process for patterning the piezoresistive film. A system includes a pair of gripper fingers, an actuator connected to the fingers, a robot skin apparatus positioned on one of the fingers, and an electronic unit for receiving data from the robot skin and controlling the fingers.

A force sensor has a sensing system including a target piece and a sensing element, configured to provide changes of a magnetic field, being generated by motion of the target piece. The sensing element senses these changes and provides a signal representative of the position of the target piece. An integrated circuit with processing means can process signals from the sensing element. A semiconductor package includes at least the integrated circuit. A flexible piece includes the target, and it is attached to the semiconductor package. The attachment area between the flexible piece and the semiconductor package does not extend beyond the top projection, or outline, of the semiconductor package. The flexible piece receives a force stimulus, so that upon exerting a force on the flexible piece, the displacement of the target piece with respect to the surface of the semiconductor package can be sensed by the sensing element.