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How To Train Engineers To Overcome The Idiosyncrasies Of Next Generation Robotics
Dr. Ferdinando Milella SMART-E Technical Project Manager Autonomous Systems & Advanced Robotics Centre School of Computing, Science and Engineering
Prof. Samia-Nefti Meziani SMART-E Project Coordinator
• Autonomous Systems & Advanced Robotics Centre: Introduction
• Technology transfer and training in UK and Europe
• SMART-E project presentation • What’s next – conclusions
Summary
• Transfer of knowledge performed through MSc projects partially supervised by UoS and companies
• Content of modules informed by industrial needs
• Provides cutting-edge equipment for students
• Attract more than 100 students a year
• 60% from apprenticeship funded by several companies (Aerospace, Automotive, etc.)
Master degree in Robotics and Automation 2016 - 11th year anniversary
• Virtual Reality (immersive 3D simulation, virtual prototyping)
• Augmented Reality (Metrology, validation and verification procedures)
• Autonomous systems (driverless car) • Human-Robot Interaction and Co-working (hybrid
work cells) • Advanced Robotics (compliant gripping, humanoid
robots, sensor fusion, cloud networking, etc.) • …
New Technologies for Automotive
Technology Transfer
Training
Academia Industry
through Training (TTT) Rationale:
• Traditional technology-transfer projects do not always provide readiness for new expertise in the field
• It takes time to train new engineers on new technologies
• EPSRC Industrial Doctorate Centres (IDC) – 4 year programme combining PhD-level research projects with
taught courses – students spend about 75 per cent of their time working directly
with a company – 27 centres, but none in Advanced Robotics
• Maritime Education and Training organizations • ? Global TTT strategy could be improved
TTT in UK
One programme: • Marie Sklodowska-Curie Actions – MSCA
MSCA is a Research Fellowship Programme supporting researchers across all disciplines as well as industrial doctorates, combining academic research studies with work in companies and other innovative training that enhances employability and career development
TTT – EU Strategy
Marie Curie Actions are grouped into:
• Initial Training Networks (ITN), • Industry-Academia Partnerships and Pathways (IAPP), • Intra-European Fellowships (IEF), • International Incoming Fellowships (IIF), • International Outgoing Fellowships (IOF), • Career Integration Grants (CIG), • Co-funding of Regional, National and International
Programmes (COFUND), • International Research Staff Exchange Scheme (IRSES)
and • the Researchers' Night.
MSCA Actions
Industry-Academia Partnerships and Pathways (IAPP) • Project based on a joint cooperation programme. Proposal must
include one or more universities/research centres and one or more enterprises.
• Participation by SMEs is encouraged. The industrial partners must be operating on a commercial basis (i.e. they earn most of their money by competing in the marketplace. Include: incubators, start-ups, spin-offs, venture capital companies, etc.
Innovative Training Networks (ITN) • Provides high quality doctoral-level training in and outside academia
• Brings together universities, research centres and companies from different countries worldwide to train a new generation of researchers.
• Boosts scientific excellence and business innovation, and enhances researchers’ career prospects through developing their skills in entrepreneurship, creativity and innovation.
IAPP and ITN actions
SMART-e Sustainable Manufacturing through Advanced Robotics Training in Europe
Project funded from the People Programme (MSCA) of the European Union’s Seventh Framework Programme FP7/2007-2013/ for research, technological development and demonstration under REA (grant agreement no 608022)"
• SMART-E is a globally leading, sustainable doctoral training programme
• A €4M European research and training programme on Advanced Robotics under the European Union programme FP7-PEOPLE-2013-ITN.
• 15 researchers
• Providing training in complementary business, leadership and interpersonal skills, and exposure to working practices in academia and industry
• Devising innovative solutions for industrial applications in Advanced Robotics and Intelligent Automation for sustainable manufacturing
Name Supervisor Industry Winter 2014
Industry Summer 2015
Industry Autumn 2016
Academic
Saber Mahboubi-‐Heydarabad
Steve Davis Marel Shadow IIT/SSSA
Yasmin Ansari Cecilia Laschi Festo Shadow Flowers Lab, INRIA, France
ConstanCn Neascu Darwin Caldwell (Tesla?) SSSA Stefano Toxiri Jesus OrDz Festo ZHAW USAL/TUM Stefania Russo Samia NeKi-‐Meziani Marel? Centro di Ricerca E.
Piaggio, Pisa Andrea GiusC MaQhias Althoff BMW IIT/USFD Alex Bousaid Benno Pichlmaier USFD/USAL/IIT Mateo Leco Sam Turner BAe KUKA USAL Aaron Pereira MaQhias Althoff RU Robots BMW USAL (done)
IIT (planned) Esra Icer MaQhias Althoff Festo BMW USAL/Cranfield
Roy Assaf Samia NeKi-‐Meziani Marel USFD
Syed Taimoor Hassan Shah
Paolo Dario Festo Shadow (planned for summer 2016)
AUN (previously NUC) University of Lille, France (February 2016)
MarCjn Zeestraten Sylvain Calinon Festo Shadow REC TUM
MarCn Eder Helmut Hauser Festo SSSA
1 Feb 2016 Marie-‐Luise Neitz Update on QM 17
SMART-E Secondments
Work Package 1
Dexterous, soft and compliant robotics in manufacturing • Flexible automation • Effective grippers and end effectors for manufacturing use • Industrial partners:
• Festo • Robotnik • Shadow Robot Company
SMART-E WP1
Variable stiffness and compliant grippers
Dextrous Hands
Soft Robotics in Manufacturing and Maintenaince
Work Package 2
Reconfigurable and logistics robotics
• Building the factory of the future: • Modularity • Flexibility • Automation
• Industrial partners: • Marel • Rolls Royce • Kuka • AGCO
SMART-E WP2
Modular robots for changing environments and tasks
New navigation system for agricultural robots
Real-time monitoring of swarm cells
Work Package 3
Safety and Human-Robot interaction
• Formal safety verification for human-robot co-working • Control and Trajectory Planning of Re-configurable modular robot
manipulators • Compliant semi-autonomous tele operation programmed by demonstration • High-performance tele-manipulation systems
• Industrial partners: • RU Robots • BMW
SMART-E WP3
Formal Guarantees and Trajectory Planning for Safe Human-Robot Co-Working
Wearable exoskeleton for assistive robotics
Safe Human-Robot interaction (with Immersive Simulation)
• Fellows are exposed to other industrial scenarios
• “Reliability tests” for new technology by implementing underlying principles to other areas
• Innovation from cross pollination: more and better
ideas from concept mobility
Cross-collaboration benefits
• Seeking opportunities for a “SMART-E 2” in EU H2020
• Expanding the TTT framework by targeting the specific need of more industries (Nuclear, Health, Transport, etc.)
• Involving more industrial partners, taking advantage of the recently formed Industry Collaboration Zone (ICZ) at the University of Salford (recently awarded by the Higher Education Innovation Funding (HEIF)
What’s next