General Electric Company

Transportation IP Holdings, LLC

Ge Global Sourcing LLC

Lockheed Martin Corporation

Nbcuniversal Media, LLC

John Michael Lizzi

Charles Burton Theurer

Huan Tan

Balajee Kannan

Romano Patrick

Douglas Roy Forman

Omar Al Assad

Yonatan Gefen

Viktor Holovashchenko

Tai-Peng Tian

Peter Henry Tu

Piero Patrone Bonissone

Christopher Donald Johnson

Dashan Gao

Naresh Sundaram Iyer

Arpit Jain

Kunter Seref Akbay

Ting Yu

Kedar Anil Patwardhan

Corey Nicholas Bufi

Yi Yao

Viswanath Avasarala

Frederick Wilson Wheeler

Rajesh Venkat Subbu

Mauricio Castillo-Effen

Shiraj Sen

Ghulam Ali Baloch

Shubao Liu

Shuai Li

Pramod Sharma

Marshall Gordon Jones

Mark Bradshaw Kraeling

Todd William Danko

Guanghua Wang

Brandon Stephen Good

Li Zhang

Kareem Sherif Aggour

Lynn Ann DeRose

Alexander Kyle Duncan

Eric Michael Gros

Necip Doganaksoy

Venkata Vijayaraghava Nalladega

Daniel Joseph Cleary

Louis John Hoebel

Todd Franklin Scarola

Jayanth Kalle Marasanapalle

Justin Despenza McHugh

Gerald Bowden Wise

Angshuman Saha

Pratik Jha

Jonathan Dehn

Ana Dasilva

Norman Wellings

Mark Bachman

Joseph E Cates

Michelle My-Ly Huynh

Andrew Francis Skinner

Francis Christopher Hann

Alexander Suchkov

Jingqiao Zhang

Ian Crook

Abderrazak Tibichte

Liviu Nedelescu

Paul W Mettus

Bradley A Culbertson

Michael VanderLinden

A control system includes a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks, with the sub-tasks having one or more capability requirements. The task manager selects and assigns a first sequence of sub-tasks to a first robotic machine that has a first set of capabilities and operates according to a first mode of operation. The task manager selects and assigns a second sequence of sub-tasks to a second robotic machine that has a second set of capabilities and operates according to a second mode of operation. The task manager selects the first robotic machine based on the first set of capabilities and the first mode of operation of the first robotic machine, and selects the second robotic machine based on the second set of capabilities and the second mode of operation.

Control system with task manager

Methods, systems, and apparatus are described for maintaining the interior cavities of pipes. In one aspect, a motorized apparatus includes a main body having a length extending along a longitudinal axis of the main body, where the main body comprises a first end and a second end opposite the first end. The motorized apparatus further includes at least one drive assembly coupled to at least one of the first end and the second end of the main body, where the at least one drive assembly comprises driven members that engage with an inner surface of the pipe and move the motorized apparatus through an interior cavity of the pipe. The motorized apparatus further includes a maintenance head movably coupled to the main body that moves along the length of the main body and rotates about the longitudinal axis of the main body, where the maintenance head comprises at least one tool configured to perform an action on the inner surface of the pipe.

Motorized apparatus for pipe inspection and repair

A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Integrated robotic system and method for autonomous vehicle maintenance

A system includes a first robotic machine having a first set of capabilities for interacting with a target object; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

An asset inspection system includes a robot and a server. The server receives a request for data from the robot, wherein the requested data comprises an algorithm, locates the requested data in a database stored on the server, encrypts the requested data, and transmits the requested data to the robot. The robot is configured to collect inspection data corresponding to an asset based at least in part on the requested data and transmit the collected inspection data to the server.

Systems and method for robotic industrial inspection system

Modifying a motion plan for an autonomously-operated inspection platform (AIP) includes obtaining sensor data for an industrial asset area of interest, analyzing the obtained sensor data during execution of an initial motion plan to determine if modification of the initial motion plan is required. If modification is required then performing a pose estimation on a first group of potential targets and a second group of potential targets, optimizing the results of the pose estimation to determine a modification to the initial motion plan, performing reactive planning to the initial motion plan to include the modification, the reactive planning providing a modified motion plan that includes a series of waypoints defining a modified path, and autonomously controlling motion of the AIP along the modified path. The analysis, pose estimation, optimization, and reactive planning occurring during movement of the AIP along a motion plan. A system and computer-readable medium are disclosed.

Autonomously-controlled inspection platform with model-based active adaptive data collection

Systems and methods are provided for an automation system. The systems and methods calculate a motion trajectory of a manipulator and an end-effector. The end-effector is configured to grasp a target object. The motion trajectory defines successive positions of the manipulator and the end-effector along a plurality of via-points toward the target object. The systems and methods further acquire force/torque (F/T) data from an F/T sensor associated with the end-effector, and adjusts the motion trajectory based on the F/T data.

Control system and method for applying force to grasp a target object

A robot system is provided that includes a base, an articulable arm, a visual acquisition unit, and at least one processor. The articulable arm extends from the base and is configured to be moved toward a target. The visual acquisition unit is mounted to the arm or the base, and acquires environmental information. The at least one processor is operably coupled to the arm and the visual acquisition unit, the at least one processor configured to: generate an environmental model using the environmental information; select, from a plurality of planning schemes, using the environmental model, at least one planning scheme to translate the arm toward the target; plan movement of the arm toward the target using the selected at least one planning scheme; and control movement of the arm toward the target using the at least one selected planning scheme.

Systems and methods for control of robotic manipulation

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

System and method for protocol adherence

A locomotive control system may include first and second robotic machines and a task manager. The first and second robotic machines have respective first and second sets of capabilities for interacting with a surrounding environment. The task manager selects the first and second robotic machines from a group to perform a task based on the first and second sets of capabilities of the robotic machines. The task involves manipulating and/or inspecting a target object of a vehicle. The task manager assigns a first sequence of sub-tasks to be performed by the first robotic machine and a second sequence of sub-tasks to be performed by the second robotic machine. The first and second robotic machines are configured to coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Vehicle control system with task manager

Control system and method for applying force to grasp a brake lever

A robot system and method are provided that move an articulable arm relative to a target object. Perception information corresponding to a position of the arm relative to the target object is acquired. Movement of the arm is controlled based on the perception information. After movement of the arm, predicted position information representative of a predicted positioning of the arm is provided using the perception information and control signal information. The arm is subsequently controlled using the predicted position information.

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Wilton, NY, United States of America

John Michael Lizzi