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.

There is provided for a calibration method for an operation apparatus. The operation apparatus comprises a first moving body unit capable of pivoting about a horizontally extending axis, a first driving unit configured to drive the first moving body unit, and a first detection unit configured to detect a pivot position of the first moving body unit. The method comprises aligning the first moving body unit to one reference position selected from a plurality of predetermined reference positions, determining the reference position by comparing a driving parameter value of the first driving unit at the one reference position with determination parameter values respectively preset for the plurality of reference positions, and registering, as reference position information for calculating the pivot position, position information of the one reference position determined in the determining and detection value information of the first detection unit.

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 pre-grasp poses into behaviors that define motor forces and torques, communicate the motor forces and torques to the robot in order to allow the robot to perform a complex behavior generated from the behaviors.

Systems and methods are described, and an example system includes a transport bin configured to carry a baggage item and having spatial reference frame marking detectable by electromagnetic scan and by machine vision. The system includes a robotic arm apparatus at an inspection area, and includes a switched path baggage conveyor that, responsive to electromagnetic scan detection of an object-of-interest (OOI) within the baggage item, conveys the transport bin to the inspection area. The electromagnetic scan generates OOI geometric position information indicating geometric position of the OOI relative to the spatial reference frame marking. The robotic arm apparatus, responsive to receiving the transport bin, uses machine vision to detect orientation of the spatial reference frame marking, then translates OOI geometric position information to local reference frame, for robotic opening of the baggage item, and robotic accessing and contact swab testing on the OOI.

An industrial robot system includes a manipulator with a drive chain including a motor unit. A controller in the industrial robot system is electrically connected to the drive chain by a set of power transmission lines and is operable to transmit electrical power on the set of power transmission lines so as to impart a controlled movement of the manipulator. A supervision sensor is arranged in the manipulator and configured to sense a property of the manipulator. The supervision sensor is electrically connected to at least a subset of the power transmission lines for transmission of sensor data representing the property to the controller.

Drive unit of an automation component, in particular a gripping, clamping, changing, linear or pivoting unit, whereby the drive unit includes a drive for driving the movable parts of the automation component and a control unit which controls the drive, whereby the control unit includes at least one computing device, and the drive unit together with the drive, control unit and computing device is arranged in or on a base housing of the automation component.

A sensor positioning system, includes an actuation server for communicating with components of the sensor positioning system. The sensor positioning system additionally includes a first actuation system and a second actuation system, wherein each actuation system includes a pulley system for maneuvering an underwater sensor system. The sensor positioning system includes a dual point attachment bracket that connects through a first line to the first actuation system and connecting through a second line to the second actuation system. The underwater sensor system is affixed to the first pulley system, the second pulley system, and the dual attachment bracket through the first line and the second line.

A robotic system comprising: a multi-axis robot; one or more sensors located on the multi-axis robot; a damping system configured to apply a resistive force to the multi-axis robot, thereby to resist movement of the multi-axis robot; and a controller coupled to the one or more sensors and the damping system, the controller being configured to: receive sensor measurements from the one or more sensors; and control, based on the received sensor measurements, the damping system thereby to control the resistive force applied by the damping system to the multi-axis robot.

A robot includes an arm supporting part, a rotary arm rotatably supported by the arm supporting part, a drive motor configured to rotate the rotary arm, a gas spring configured to reduce a load of the drive motor by supporting a load acting on the rotary arm and a controller. The controller determines that the rotary arm rotates, and estimates a reduced state of gas in the gas spring based on a comparison between an actual current value and a theoretical current value of the drive motor when the rotary arm rotates.

A mobile automated pipe or shaft non-destructive inspection system with rotational inspection sensor assembly for 360 degree imaging or sensing and generation of three dimensional models or sensing imaging or depictions of the pipe or shaft, preservative removal/application system, mobile platform mounting, and control system as well as related methods.