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 pregrasp poses into behaviors that define motor forces and torques, communicate the motor forces and torques to the robot.

The present invention discloses a care robot controller, which includes: a controller body that includes slide rails, finger slot sliders and a joystick, wherein the finger slot sliders are movably arranged on the slide rails and configured to receive pressing, and the joystick is configured to control the care robot; a gesture parsing unit configured to parse three-dimensional gestures of the controller body, and control the care robot to perform corresponding actions when the three-dimensional gestures of the controller body are in line with preset gestures; and a tactile sensing unit configured to sense the pressing received by the finger slot sliders and initiate a user mode corresponding to the pressing information, so that the controller body provides corresponding vibration feedback. Thus the user can control the controller efficiently and conveniently, the control accuracy is improved, and effective man-machine interaction is realized.

A deformable sensor is provided. The deformable sensor comprises a deformable member defining an enclosure that is configured to be filled with a medium, a mechanical component disposed within the enclosure, and an optical sensor coupled to the mechanical component positioned with the enclosure. In embodiments, the mechanical component is configured to rotate at least from a first position to a second position, and the optical sensor is configured to capture first portion data associated with a first portion of the deformable member at the first position and second portion data associated with a second portion of the deformable member at the second position.

An automated device has a movable structure covered at least in part by a sensorised covering. The sensorised covering comprises a plurality of covering modules, which includes one or more sensorised covering modules. Each sensorised covering module includes a plurality of distinct layers stacked on top of one another and including a load-bearing layer and at least one cushioning layer. Each sensorised covering module integrates at least one contact sensor device (C), which includes a first lower electrically conductive layer (61) and a second upper electrically conductive layer (63), set between which is an electrically insulating layer (62).

An end effector includes: a tool holder; a tool which is attached in protruding fashion to the tool holder; a sleeve which is movable on the tool holder between a protective position in which it surrounds the tool and a usage position in which it is pushed towards the tool holder and can release at least a tip of the tool; and a blocking element which is movable, under control of a sensor for detecting a proximity of the end effector to a workpiece, between a blocking position in which it blocks the sleeve in the protective position, and a release position in which it allows a movement of the sleeve into the usage position.

A robot having a robot manipulator with an effector, wherein the robot manipulator is designed and constructed for picking up, handling, and releasing an object and is controlled by a control unit, the robot including a first sensor means designed and constructed to determine a persisting adherence of the object to an effector after a release of the object by the effector, and where such an adherence persists, to generate a signal S, wherein when a signal S is present, the control unit is designed and constructed to control the robot manipulator in such a manner that it executes a predefined movement B in which the effector with the persistently adhering object is passed by a wiping object in such a manner that the adhering object is wiped off the effector on a surface or an edge of the wiping object.

Embodiments of this application provide a method for preparing a thin film piezoresistive material, a thin film piezoresistive material, a robot, and a device. The method includes: determining a mass ratio of conductive particles to a cross-linked polymer in preparation of the thin film piezoresistive material, a value range of the mass ratio being 3:97 to 20:80; dispersing the conductive particles and the cross-linked polymer in a solvent according to the mass ratio, to obtain a first dispersion; and curing the first dispersion by using a liquid dropping method within a temperature range of 25° C. to 200° C., to obtain the thin film piezoresistive material. The technical solutions provided by the embodiments of this application provide a method for preparing a thin film piezoresistive material through liquid dropping, thereby effectively controlling the thickness of the piezoresistive material, so that the prepared thin film piezoresistive material has a relatively small thickness.

An intelligent optical fiber tactile sounding system and a method thereof, and belongs to the field of intelligent optical fiber sensing. The system includes a flexible optical fiber tactile sensing array, a photoelectric detection system, an intelligent pressure analysis software and an acoustic emission system; a small-scale distributed tactile sensing array is constructed by embedding a fiber-core mismatched optical fiber interferometric sensor into a flexible substrate material and performing sensing region division for an asymmetrical structure with an optical fiber structure as a delimiting line ; a tactile sensor transmits tactile signals to the photoelectric detection system in the form of optical signals, the photoelectric detection system inputs these pressure signals into the intelligent pressure analysis software to determine a region and a size of a tactile source, and then sends an instruction to the acoustic emission system to enable the acoustic emission system to emit different sounds.

Provided are a control device, a control method, and a control program capable of realizing natural interaction between a human and a robot like between humans. A control device according to an embodiment includes a slip detection unit (15, 104) and a control unit (10). The slip detection unit detects a slip of a target object gripped by a grip portion. The control unit controls a gripping force with which the grip portion grips the target object based on the slip detected by the slip detection unit. The control unit estimates an external force applied to the target object gripped by the grip portion based on the slip detected by the slip detection unit, and controls the gripping force based on the estimated external force.

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.