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Mobile Robots applied on virtual and real environments

CSCS 22 nd INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE. University POLITEHNICA of Bucharest Romania. Research Executive Agency FP7-PEOPLE-2012-IRSES. Mobile Robots applied on virtual and real environments. May 28-30.

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Mobile Robots applied on virtual and real environments

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  1. CSCS 22nd INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE University POLITEHNICA of Bucharest Romania Research Executive Agency FP7-PEOPLE-2012-IRSES Mobile Robots applied on virtual and real environments May 28-30 LuigeVlădăreanu, Victor Vlădăreanu, Octavian Melinte, Mihai Rădulescu, Marius Pandelea, Alexandra CătălinaCiocîrlan Authors:

  2. CONTENTS • Background • Introduction • Architecture of the VIPRO platform for mobile robots • The Neural Network Interface (INN) • Robotic workspace generated by the direct kinematics • Results and Conclusions

  3. Research Executive Agency FP7-PEOPLE-2012-IRSES VIPRO Project PN-II-PT- PCCA-2013-4 ID 2009

  4. VIPRO Platform VIPRO versatile, intelligent and mobile platform for real time robot control : • applying an original virtual projection method. • representation of modern mobile robots in a 3D virtual environment using: • a strong robotic simulator, • an open architecture system and adaptive networks, • developing intelligent control interfaces that use advanced control technologies

  5. Introduction • Virtual Projection The method enables the design, testing and experimentation of new intelligent control interfaces on a classical mechatronic control system (SCMC) in the presence of the physical mechatronic system (SMF), with own control system and mechanics structure, or in the absence thereof,without the need to modify its hardware structure, and, from optimal decisions and information fusion between the intelligent control interfaces, resulting in a high degree of versatility and portability to a global communications network.

  6. Introduction • Virtual Projection Intelligent control interfaces adapted to the robot environment such as • extended control (Extenics), • neutrosophic control, • human adaptive mechatronics. The obtained results lead to mobile robots in virtual and real environments, allowing • a correct evaluation of force-position • and high level real time simulation

  7. Architecture of the VIPRO platform for mobile robots • Real time control robots with remote network control are used where human can’t access the environment such as support and repair in nuclear contaminated area, fire and earthquake disaster. • The VIPRO platform, brings the virtual robots to the real world and creates an international innovative robot platform, based on virtual projection method, which allows the developing of mechatronic systems of mobile robots in virtual environments and communicate with real robot systems through a high speed interface.

  8. Architecture of the VIPRO platform for mobile robots • The implementation of the real-time intelligent control interfaces, containing the main modules of the VIPRO Platform for realtime robot control in open architecture structure. • VIPRo is developed to design, test, and experiment intelligent, real time control methods by integrating classical control system in robot modeling and simulation.

  9. Architecture of the VIPRO platform for mobile robots • The VIPRO Platform contains: • "Engineering Station" workstation for the PLC classic control system • "Graphical Station" station for the development of the virtual robot environment and the virtual reality in which the robot moves.

  10. Architecture of the VIPRO platform for mobile robots The VIPRO Platform allocates 5 dedicated users' stations: • NAO robot modelling using direct and inverse kinematics, • RABOT robot modelling in Unity development environment, • intelligent neutron ICN control by RNC method integration, • expanded control by Extenics (ICEx) method integration, • respectively modelling by inverse kinematics in controlling the robot's motion using inference systems and neural networks (INNs).

  11. Architecture of the VIPRO platform for mobile robots • The remote control and e-learning functions of the VIPRO Platform has been integrated with a PC server that provides high data traffic for internet communications, supplemented with two user stations for applications with end-users.

  12. Architecture of the VIPRO platform for mobile robots • VIPRO platform applications are grouped into four major components for easier access: Modelling, Simulation, PLC System Stand, and Intelligent Interfaces.

  13. Architecture of the VIPRO platform for mobile robots • Modelling applications are grouped into available application types: • Blender, • Solid Works, • Inventor and • Adams

  14. The Neural Network Interface (INN) • Neural Network Interface (INN) developed for Dynamic Hybrid Force Position (DHFP) Control, performs the inverse kinematic modelling in controlling the robot's motion by using inference systems and neural networks. • The inverse kinematics process can become mathematically complex for high-order manipulator systems. Application of the neural network interface to the force-position hybrid control

  15. This application is integrated into the platform through a graphical user interface (GUI), made up of various programs that help visualize the work method and guide a user. • After specifying this information, it is possible to generate and display the robotic workspace in 3D space • Using the direct kinematics for visualization • Start learning an ANFIS group (fuzzy inference systems using neural networks) to emulate the inverse kinematics. Robotic workspace generated by the direct kinematics method

  16. For robot motion on unstructured environments or overcome / avoid obstacles, is necessary to develop adapted motion strategies to the situation encountered. Such a method is applying the genetic, neural, fuzzy algorithms. • Neutrosophic logic is an extension of fuzzy logic, intuitive logic, paraconsistent logic, and logic with three values that use an undetermined value. Configuring the robots walking

  17. Building the OAH System Novelty virtual projection method: • Real-time robot balance control • Gait control • Predictable motion control • Zero moment point method

  18. Functional and experimental model architecture VIPRO interfaces for real time robot control For this application two new intelligent control interface Admitance Haptic Interface – FCI1 and Impedance Haptic Interface – FCI2

  19. Functional and experimental model architecture The portability of the intelligent control interface to a global communication network raises the economic impact and developscontrol performancefor mechatronic systems through the worldwide participation of researchers and specialists from institutes, universities and research centers. The portability characteristics of the device developed with the invention allows the user, from anywhere in the world, to test and improve the motion performance of the mechatronicsystem, and furthermore implement the intelligent control and decision interfaces on their own control system.

  20. Results and Conclusions The strongest points of the VIPRO platform, in which intelligent INNs and ICNs have been developed are: • the unlimited power to design, • test, • experiment the real time control methods integrating the classical control system in robot modeling and • simulation for all types of service robots, rescue robots, industrial robots, • reabilitation robots

  21. Results and Conclusions • New concepts and approaches for the development of a versatile intelligent portable robot (VIPRO) platform • An original method of virtual projection • Robot motion control is done through intelligent interfaces • Robot neutrosophic control (RNC) • Robot extenics control interface (RCEx) • Robot haptic control (RHC) interface

  22. Results and Conclusions • The e-learning component of the VIPRO platform can be accessed from the main menu of the VIPRO project by selecting the e-learning button. • The e-learning server of the VIPRO platform can access for uploading algorithms so that they are available to remote users, but also the Engineering Server or physical equipment (robots, PLC). VIPRO e-learning platform - see www.vipro-edu.ro/e-learning/

  23. Results and Conclusions • Overall goal is to develop a versatile intelligent portable robot platform by using 3D virtual representation • Building an open architecture system made of a robot classic control system (with embedded software) and intelligent control interfaces

  24. SMOOTH - Smart Robots for Firefighting Goal • The SMOOTH project aims to propose a novel robot-assisted decision making system in smart firefighting to perform searching and rescuing practice in the fire ground, and to facilitate the decision makings with higher efficiency. Partners • EU H2020-MSCA-RISE • 4 Years (2017-2020) • Project Budget: 1 m € • 7 partners from academia and industry

  25. The Proposed SMOOTH Smart Firefighting Platform Functionalized cognitive RA firefighting platform for location, navigation and rescue. 3D virtual perception and sensing, and H2R interface to dynamically realize the vision of smart firefighting. DSS for decision making support and disaster management.

  26. 3D VERO VIPRO MultiMonD2 INTELLIGENT INTEGRATED PLATFORM FOR SPECIAL MISSION CONTROL BY ROBOT VECTORS INTELLIGENT CONTROL BY THE ROBOT VECTORS IN SPECIAL MISSION

  27. MultiMonD2 3D VERO VIPRO 3D VERO VIPRO Platform for Research on the key technology of Multi Monitoring Danubius 2

  28. KEYT HROB VIPP Platform KEYT HROB VIPRO Platform for Research on the key technology of rehabilitation robot

  29. 3DVERO VIPRO FUDAN University Meeting MultimonD2

  30. Results and Conclusions http://www.vipro.edu.ro/ http://www.vipro.edu.ro/

  31. ACKNOWLEDGEMENTS This work was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI, MULTIMOND2 project number PN-III-P1-1.2-PCCDI2017-0637/33PCCDI/01.03.2018, and by KEYTHROB project, number PN-III-P3-3.1-PM-RO-CN-2018-0144 / 2 BM / 2018, within PNCDI III, and by the European Commission Marie Skłodowska-Curie SMOOTH project, Smart Robots for Fire-Fighting, H2020-MSCA-RISE-2016-734875. The authors gratefully acknowledge the support of the Robotics and Mechatronics Department, Insitute of Solid Mechanics of the Romanian Academy.

  32. Thank You for your attention!

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