A system for safe interaction between a human and an industrial machine includes a cyber-mechanical system. The cyber-mechanical system includes at least one industrial machine and a cyber-mechanical control system for processing inputs and producing control outputs for the at least one industrial machine; The system further includes a task planner configured to translate high level goals into scheduled tasks of the industrial machine. The system includes an interaction reasoner that identifies at least one interaction between the industrial machine and a human working in cooperation with the industrial machine. Output of the interaction reasoner is provided to an image generator that produces an interaction image. The interaction image represents information relating to one or more of the scheduled tasks of the industrial machine. An image projector associated with the industrial machine conveys information about the scheduled tasks of the associated industrial machine to the human.

An arrangement including a machine tool with a chuck, a measuring device, a robot arm as well as a control device. The chuck is rotatable about a chuck axis. The robot arm carries at its free end a gripping device for reception of a workpiece. The measuring device has two sensor units. The measuring device has two sensor units. By means of the control device an automatic adjustment method can be carried out. First the robot arm is controlled for gripping a workpiece and subsequently the workpiece is positioned in the range of the measurement locations of the sensor units depending on measurement signals such that the deviation in the inclination and the offset between the workpiece axis and the chuck axis is within a predefined tolerance range. This procedure is at least carried out in two different rotation positions and is iteratively repeated if necessary.

A robotic-arm apparatus may include a robotic hand dimensioned to approximate a size and movement of a user's hand. The robotic-arm apparatus may also include one or more tactile-sensing pads coupled to at least a portion of the robotic hand, wherein a tactile-sensing pad is configured to detect surface data about a surface in a real-world environment. Additionally, the robotic-arm apparatus may include an actuator configured to move the robotic hand to mimic a motion of a glove worn by the user's hand, wherein the glove is configured to provide haptic feedback corresponding to the surface data to the user's hand. Various other apparatuses, systems, and methods are also disclosed.

A control system, method and computer program product cooperate to assist control for an autonomous robot. An interface receives recognition information from an autonomous robot, said recognition information including candidate target objects to interact with the autonomous robot. A display control unit causes a display image to be displayed on a display of candidate target objects, wherein at least two of the candidate target objects are displayed with an associated indication of a target object score.

Dynamically adjustable EDA measurement device may include: a dynamically formable base comprising a soft robotics material, wherein the dynamically formable base comprises a formable surface configured to be dynamically formed in response to input signals; and an EDA sensing layer affixed to the formable surface of the dynamically formable base, the EDA sensing layer comprising a plurality of electrodes arranged on a flexible substrate and configured to be connected to a power supply; wherein, in response to input signals, the formable surface of the dynamically formable base and the EDA sensing layer affixed thereto are reformed into a desired contour.

A topographical measurement system may include a tactile sensor using a contained fluid as an imaging medium.

A method for identifying and manipulating objects may include obtaining, from an image sensor, image sensor data; identifying, using the image sensor data, a location of an object; controlling a robotic element, which includes the image sensor, to move towards the location of the object; determining a slippage based on contact between the image sensor and the object; and controlling a movement of the robotic element based on the determined slippage.

A system and method for fabricating soft sensors that conform to arbitrary smooth geometries that include fabricating a top stretchable layer that includes a set of electrodes of soft sensors that are made of an elastic material. The system and method also include fabricating a bottom flexible layer that is composed of a thin sheet of suitable metal that is patterned using photolithography. The system and method further include bonding the top stretchable layer to the bottom flexible layer to form a sensor substrate.

The present disclosure provides a visual-tactile perception apparatus and a small-sized robot. The apparatus includes a visual perception module, a tactile perception module, a control module, and a signal transmission module. The signal transmission module is separately connected to the visual perception module, the tactile perception module, and the control module. The visual perception module is configured to obtain image information of a surrounding environment of the apparatus; the tactile perception module is configured to obtain tactile information of the surrounding environment of the apparatus; the signal transmission module is configured to transmit the image information and the tactile information to the control module; and the control module is configured to generate a control instruction based on the image information and the tactile information, and transmit the control instruction.

Provided are a robotic hand system and a method for controlling a robotic hand. A robotic hand system operated by a user according to an example embodiment, the robotic hand system may include a robotic hand configured to grip a target object, a first sensor unit disposed on the robotic hand, the first sensor unit configured to detect a real-time posture of the robotic hand, a second sensor unit disposed on the robotic hand, the second sensor unit configured to detect three-dimensional surface information of the target object that appears based on the robotic hand, and a processor configured to infer, based on sensing information of the first sensor unit and the second sensor unit, a motion of the robotic hand conforming to an intention of the user, and operate the robotic hand according to the inferred motion. The robotic hand may include a finger module including a plurality of frames, and one or more joint portions connected to the plurality of frames, the one or more joint portions configured to change positions of the plurality of frames.