Profile - GAMHE Research Group

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The document summarizes the research of the Advanced Automation for Manufacturing Processes research group (GAMHE) at the Centre for Automation and Robotics (CAR) which is a joint task force between the Spanish National Research Council (CSIC) and the Technical University of Madrid (UPM). The GAMHE group has developed advanced control and monitoring strategies for manufacturing processes through projects with industrial partners and has over 10 employees with expertise in areas like control systems, robotics, and manufacturing.

Technology Business

Success stories (I)
Design and implementation of an embedded fuzzy control system.

NCK MMC
User Interface
DAQs

Fuzzy Control Algorihm
DDE
User
Feed rate

Spindle speed

Decrease about
20% in part
References: production time
Haber et al., Computers in
al
Industry 50, pp. 353-366 (2003).
353-
Haber&Alique, IEEE Transaction
on SMC Part C., (2007).
,( )
5-11
GAMHE v.5 11.10.2011

Success stories (II)
ALLIANCE FAGOR AUTOMATION – CAR Intelligent control systems
CAR: I t lli t t l t
embedded in open architectures (2011-2013).
(2011-
Project CENIT “eEe”: Embedded fuzzy control strategy in open computer
numerical control (CNC8070).
(CNC8070)
Cooperation with Prof. Singhose (GeorgiaTech).

6-11
GAMHE v.5 11.10.2011

Success stories (III)
Power steering control architecture for automatic driving

7-11
GAMHE v.5 11.10.2011

Success stories (IV)
Self-
Self-tuning strategies for robotic manipulators

Dynamic modification of
proportional and
derivative gains of PD
controller of robotic
manipulator

8-11
GAMHE v.5 11.10.2011

Success stories (V)
Research on integrating
g g
control, communication
and advanced
computational
algorithms.
algorithms
To capitalize synergies between:
Classic control strategies and
Artificial Intelligence-based
techniques.
Hybridization of knowledge
yb d a o o o dg
representation (Fuzzy Logic),
learning (Artificial Neural
Networks) and optimization
(GA, SA, CE).
Advanced computational
algorithms and
communication technologies.
g
References:
Haber et al. 2007, 2008,
2009.
2009
9-11
GAMHE v.5 11.10.2011

Success stories (VI)
Intelligent networked monitoring system for micro-scale
micro-
processes
Embedded
Patents:
system 200802613/02613

Ethernet
Ethernet

Quality control

Sensor
fusion

10-
10-11
GAMHE v.5 11.10.2011

Research and technical results
AUTOMATION COMPUTER COMPUTER COMPUTER ENGINEERING,
ENGINEERING
& CONTROL SCIENCE AND SCIENCE, SCIENCE AND MANUFACTURING:
SYSTEMS: CYBERNETICS: INFORMATION ARTIFICIAL
SYSTEMS: INTELLIGENCE:

But also 5 patents, 2 licensed
11-
11-11
GAMHE v.5 11.10.2011

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Predictive Maintenance by analysing acoustic data in an industrial environment

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This document discusses predictive maintenance through acoustic data analysis in an industrial setting. It describes using sensors and data collection from machines to detect potential issues through acoustic and vibration analysis. The customer case study involves implementing a predictive maintenance platform using acoustic data from an air compressor to identify mechanical, electrical, and other problems to decrease maintenance costs and increase machine availability. The solution involves collecting machine and sensor data, storing it in an IIoT platform, and performing analytics using predictive models and dashboards.

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This document provides biographical and professional details about Gilbert Brault, including his identity, goals, professional experience, educational background, competencies, and writing samples. Brault is a 60-year-old French senior system engineer currently working for Schneider Electric in Carros, France. His experience includes roles in M&A analysis, due diligence, systems engineering, project management, product management, and research.

Raviteja Resume (3)

RAVITEJA GERA

Gera Raviteja is seeking opportunities in research and development roles involving mechatronics systems development. He has a M.Tech in Mechatronics from CITD Hyderabad with over 8 years of experience in skills like Solidworks, LabVIEW, MATLAB, C programming, robotics, AI and more. He has undergone projects at CSIR-NAL involving research on flapping wing micro air vehicles and a 6 month industrial automation training. He holds a B.Tech in Electronics and Communication from JNTUH with qualifications in intermediate and SSC.

This document provides an overview of key concepts in mechatronics engineering. It defines mechatronic systems as integrated electronic-mechanical systems combining sensors, actuators and digital electronics. Important life cycle factors for mechatronic systems include delivery, reliability, maintainability, serviceability, upgradeability and disposability. Modeling represents real systems using mathematical equations and logic. Key properties for the design process are strength, reliability, maintainability and manufacturability. Applications of mechatronic systems include fuzzy-based washing machines, auto-focus cameras, engine management systems and autonomous robots. Main operator risks are trapping, entanglement, impact and ejection.

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Rahul resume

Rahul M

Rahul Dev Madayan is a 23-year-old electronics engineer seeking an opportunity to utilize his skills in electronics. He holds a Master's degree in Electronics and Telecommunications from Institute Supérieur d'électronique de Paris. His experience includes internships developing medical websites and circuit testing. He is proficient in programming languages like Java, C, and VHDL as well as software like MATLAB, LabVIEW, and CAD tools.

Critical Information Infrastructure Systems Worldwide

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Recently due to progress in Complementary Metal Oxide Semiconductor (CM OS) technology, Wireless Multimedia Sensor Networks (WMSNs) become focus of research in a broader range of applications. In this survey paper different WMSNs applications, research & design challenges are outlined. In addition to this, different available commercial multimedia sensors are discussed in detail and compared. Also other then commercial available multimedia sensors, some experimental multimedia sensor prototypes are discussed. In addition to this different experimental deployed test beds for WMSNs are outlined. Also few Wireless Sensor Networks (WSNs) simulators and emulators are reviewed. Depending upon the requirement a few physical multimedia sensors can be integrated or embedded within available simulators to observe more accurate results or to visualize in a better way.

Industrial Pioneers Days - Machine Learning

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CAN BASE VOLVO AUTOMATION

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This document describes a proposed system for automating vehicles using CAN bus technology. The system would monitor driver behavior using sensors to detect alcohol, drowsiness, and other factors. It contains an ARM Cortex M-3 controller, sensors, a CAN controller, GPS and GSM modules. CAN bus is commonly used in automobiles for communication and allows real-time data transmission between electronic control units with few wires. The proposed system aims to automate vehicle functions for safety and guidance using this technology.

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This document provides an overview of a training report on programmable logic controllers (PLCs), supervisory control and data acquisition (SCADA) systems, and automation. It includes sections on the history and introduction of PLCs, the architecture of PLCs including the central processing unit and memory, programming PLCs using ladder logic, applications of PLCs and SCADA systems, the architecture of SCADA systems, and applications of automation in various industries. The training report was submitted to the Electrical Engineering department at the National Institute of Technology in Kurukshetra, India by a student as part of an internship on automation.

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Arduino Based Hand Gesture Controlled Robot

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This document describes an Arduino-based hand gesture controlled robot. The robot uses image processing of hand gestures captured by a camera to determine commands. The hand gestures are compared to reference images to detect gestures like moving up, down, left, right. The corresponding command is sent wirelessly to the robot via ZigBee. The robot contains an Arduino microcontroller, accelerometer, motor driver and receives signals through a Zigbee receiver. Based on the command signal, the microcontroller controls the motor polarity to move the robot in the appropriate direction, allowing it to be controlled remotely through hand gestures without any physical controls. This provides a natural human-machine interface for applications like industrial and medical robotics.

RAD Industrial Automation, Labs, and Instrumentation

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Profile - GAMHE Research Group

1. Embedded and Cognition-based Control Cognition- &Monitoring Systems for the Next Generation of Machines and Processes

2. Partner profile CAR (CSIC-UPM) (I) (CSIC- The Consejo Superior de Investigaciones Científicas (CSIC) is the largest public multidisciplinary research organisation in Spain. It has a staff of more than 10000 employees, among p y , g these 3202 scientists and about 3802 pre and postdoctoral researchers. Universidad Politécnica de Madrid (UPM) is the oldest and largest of the Spanish technical universities, with currently more than 3000 faculty members and about 6000 postgraduate students students. The Centre for Automation and Robotics (CAR): join task force of UPM and CSIC with 13 research groups in the field of Automation and Robotics. Background and expertise: Control system design for complex electromechanical plants. Wide range of applications: Manufacturing, Agriculture, Environment, Bioengineering, Robotics… 2-11 GAMHE v.5 11.10.2011

3. Partner profile CAR (CSIC-UPM) (II) (CSIC- Advanced A t Ad d Automation for Manufacturing Processes - ti f M f t i P Research Group (GAMHE) Set up in 1981. One of top-5 Spanish research groups dealing with top- manufacturing processes optimization through advanced control&monitoring strategies. g g Grants totaling 1.5 M€ M€ Research contracts and cooperation with FAGOR AUTOMATION, DANOBAT, SORALUCE, NICOLAS CORREA and others SMEs. 10 persons: 6 PhD, 3 PhD students, 1 Lab Assist. GeorgiaTech, Uninova, CU- CU- ICAR. 3-11 GAMHE v.5 11.10.2011

4. Partner profile CAR (CSIC-UPM) (III) (CSIC- Key issues and Paradigms related with Metalworking industry & Emerging sectors Paradigms & Scientific Industrial needs Challenges in the field of Intelligent Control & Economical issues Monitoring Systems Societal needs 4-11 GAMHE v.5 11.10.2011

5. Success stories (I) Design and implementation of an embedded fuzzy control system. NCK MMC User Interface DAQs Fuzzy Control Algorihm DDE User Feed rate Spindle speed Decrease about 20% in part References: production time Haber et al., Computers in al Industry 50, pp. 353-366 (2003). 353- Haber&Alique, IEEE Transaction on SMC Part C., (2007). ,( ) 5-11 GAMHE v.5 11.10.2011

6. Success stories (II) ALLIANCE FAGOR AUTOMATION – CAR Intelligent control systems CAR: I t lli t t l t embedded in open architectures (2011-2013). (2011- Project CENIT “eEe”: Embedded fuzzy control strategy in open computer numerical control (CNC8070). (CNC8070) Cooperation with Prof. Singhose (GeorgiaTech). 6-11 GAMHE v.5 11.10.2011

7. Success stories (III) Power steering control architecture for automatic driving 7-11 GAMHE v.5 11.10.2011

8. Success stories (IV) Self- Self-tuning strategies for robotic manipulators Dynamic modification of proportional and derivative gains of PD controller of robotic manipulator 8-11 GAMHE v.5 11.10.2011

9. Success stories (V) Research on integrating g g control, communication and advanced computational algorithms. algorithms To capitalize synergies between: Classic control strategies and Artificial Intelligence-based techniques. Hybridization of knowledge yb d a o o o dg representation (Fuzzy Logic), learning (Artificial Neural Networks) and optimization (GA, SA, CE). Advanced computational algorithms and communication technologies. g References: Haber et al. 2007, 2008, 2009. 2009 9-11 GAMHE v.5 11.10.2011

10. Success stories (VI) Intelligent networked monitoring system for micro-scale micro- processes Embedded Patents: system 200802613/02613 Ethernet Ethernet Quality control Sensor fusion 10- 10-11 GAMHE v.5 11.10.2011

11. Research and technical results AUTOMATION COMPUTER COMPUTER COMPUTER ENGINEERING, ENGINEERING & CONTROL SCIENCE AND SCIENCE, SCIENCE AND MANUFACTURING: SYSTEMS: CYBERNETICS: INFORMATION ARTIFICIAL SYSTEMS: INTELLIGENCE: But also 5 patents, 2 licensed 11- 11-11 GAMHE v.5 11.10.2011

Profile - GAMHE Research Group

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