A robot system for human-robot collaboration is disclosed that includes one or more proximity sensing elements disposed on the movable parts of the robot, joint position sensing sensors, and a safety control module connects the proximity sensing element and joint position sensing sensors and monitors the speed of the robot and the proximity distance to the objects and stop the robot safely when speed exceed the set limit. The safety control module switches the safety status of the robot when a set proximity distance threshold is triggered. Then, multiple embodiments of the safety status triggered by proximity sensing are introduced for different processes of the human-robot collaboration, includes separation monitoring, force limiting for bumping, and manipulation of the robot. Furthermore, embodiments of utilizing different types of sensors to implement the proximity sensing elements are also disclosed.

Provided is an electrostatic capacitance sensor which can remove an influence of a noise occurring from a static eliminator or a driving source and accurately perform measurement even on electrostatic capacitance detected by a thin-type detection unit which can be passed to a finger surface of a wafer transfer robot. The present invention is provided with an AC supply source which supplies an AC voltage to a detection unit, a parasitic capacitance compensation circuit, an operational amplifier, a differential amplifier, a phase detection means, and a low pass filter. An operational amplification output terminal is connected to an inversion input terminal of the differential amplifier through a first band pass filter, the AC supply source is connected to a non-inversion input terminal of the differential amplifier through a second band pass filter, an output terminal of the differential amplifier is connected to an input terminal of the phase detection means, and the phase detection means takes, as a reference signal, an AC signal output from the AC supply source.

A mechanical arm includes a first link connectable to a surface, a second link, a third link, a fourth link, and a fifth link that are coupled to one another in series, and an end effector connectable to the fifth link. The end effector is rotatable about an axis of rotation same as an axis of rotation of the fourth link, and rotatable about an axis of rotation orthogonal to the axis of rotation of the fourth link. The first link, the second link, the third link, the fourth link, and the fifth link are collectively structured and configured to rotate such that the end effector is actuatable to a workspace under the surface.

A method of performing location teaching of a robotic arm includes maneuvering an end of arm tooling of a robotic arm to a predefined position of an interface object. The robotic arm is mounted within a mounting site of a mechanical mounting structure. The interface object is positioned on a sub-system of a medication dosing system that is mounted on the mechanical mounting structure. The interface object includes an alignment feature of a known size and shape. A sensor of the end of arm tooling is engaged with the interface object. An offset between the sensor and the interface object is determined based on an interaction between the sensor and the alignment feature. A position of the end of arm tooling is incremented with respect to the interface object along at least one axis. An actual position of the interface object is determined relative to the robotic arm.

A gripper apparatus is configured to grasp a closed receptacle having a closure affixed to an open top end of a receptacle. Opposed jaw members capable of lateral movement between an open position, a first closed position, and a second closed position are configured to grasp the closed receptacle when the closed receptacle is situated between the jaw members at the first closed position and to release the closed receptacle at the open position. The gripper apparatus further includes a plurality of fingers configured to grasp a sidewall of the closure beneath a top surface of the closure when the closure is situated between the plurality of fingers and beneath a base of each of the jaw members as the jaw members move laterally toward each other from the open position to the second closed position.

An automated device, in particular a robot, comprises: a movable structure; actuator means, for causing displacements of the movable structure; a control system, which includes a control unit and is able to control the actuator means; and a sensorized covering, which covers at least part of the movable structure and integrates sensor means that include at least one of contact sensor means and proximity sensor means.

The sensorized covering comprises a plurality of covering modules, each having a respective load-bearing structure of a predefined shape associated to which is at least one layer of elastically yielding material. The plurality of covering modules comprises one or more sensorized covering modules, which include respective sensor means. The load-bearing structure of at least some of the covering modules has electrical connector means associated thereto, for enabling separable electrical connection of at least two different covering modules that are adjacent to one another.

A sensorized covering, prearranged for covering at least part of a movable structure of an automated device. The sensorized covering is useful for sensing an actual impact or anticipating an imminent impact to the automated device. The sensorized covering includes one or more covering modules wherein each covering module may include contact sensors and/or proximity sensors, a loading bearing structure and/or controls. The individual sensorized modules may be independently connected or controlled, or connected together and collectively controlled. Examples of the automated device my include a movable robots or an automated guided vehicles (AGVs).

An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

A manual work station, in particular a manual work station for manufacturing and/or a manual work station for packaging, comprising a work area accessible to a worker, the manual work station having at least one robotic arm, the manual work station having a safety device, which is designed in such a way that the robotic arm cooperates in a contact-free manner with the worker in the work area. The invention furthermore relates to a control unit for controlling the sequencing of a manual work station.

Aspects of the present disclosure involve an intelligent ordering and delivery system. An internet-based device is used to request delivery of an object or item at a specific location. An internet-of-things robot processes the request and automatically delivers the object or item to the specified location.