Events 2020

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Complex Robotic Manipulation Tasks (IRIM-WS107)

The workshop will be an opportunity for experts in different research areas and applications to discuss new perspectives and challenges of complex robotic manipulation, focusing on the various aspects involved, as adaptive force control, object recognition and pose estimation techniques. Within such a large research field, the workshop offers a round-table on the actual state of the research on these topics and the challenges for the factory of the future.

Timetables

Thursday 10 December

From 10.10 am to 12.00 pm CET


Event on digital.makerfaire.eu
Complex Robotic Manipulation Tasks (IRIM-WS107)

Alessandro Zanella

Alessandro Zanella graduated with a degree in Physics at the University of Turin. He has worked at CRF since 1998. His main activities have always been targeted towards the development of smart, flexible, and adaptive products. Initially, he worked in the operative group of Mechatronics developing new actuators, sensors and control systems for advanced functionalities.The experience developed on smart systems has been applied in the field of factory automation with activities and studies on flexible automation, robotics and IIoT. Since 2010 he is Senior Specialist in the field of factory flexibility and adaptability. His current research is mainly focused on Collaborative systems and processes, Human Robot Collaboration and Human centred manufacturing.

Oscar Ferrato

Local Collaborative Robot Product Manager, ABB

Paolo Franceschi (Organizer)

PAOLO FRANCESCHI received the B.S. degree in aerospace engineering and M.S.degree in mechanical engineering both from Po-litecnico of Milano, Milano, in 2015 and 2017respectively.In 2016 he joined as a visiting scholar IBMAlmaden Research Center in San Josè, California,USA to complete his master’s thesis dealing withmodeling and control of a bipedal robot.From 2018 he joined STIIMA-CNR in Milan,Italy as a research fellow and his research interests include interactioncontrol for robotic manipulators and optimization of complex roboticsmanipulation working area and tasks.

Arash Ajoudani

Arash Ajoudani is a tenured senior scientist at the Italian Institute of Technology (IIT), where he leads the Human-Robot Interfaces and physical Interaction (HRI²) laboratory. He received his PhD degree in Robotics and Automation from University of Pisa and IIT in July 2014. His PhD thesis was a finalist for the Georges Giralt PhD award 2015 - best European PhD thesis in robotics. He is a recipient of the European Research Council (ERC) starting grant 2019. He was a winner of the Amazon Research Awards 2019, the winner of the Solution Award 2019 (Premio Innovazione Robotica at MECSPE2019), the winner of the KUKA Innovation Award 2018, the winner of the Werob best poster award 2018, a finalist for the best conference paper award at Humanoids 2018, a finalist for the best interactive paper award at Humanoids 2016, a finalist for the best oral presentation award at Automatica (SIDRA) 2014, the winner of the best student paper award and a finalist for the best conference paper award at ROBIO 2013, and a finalist for the best manipulation paper award at ICRA 2012. He is the coordinator of the Horizon-2020 project SOPHIA with a consortium of 12 partners from the leading European research and industrial organisations. He has contributed to several successful European projects (H2020 and FP7) such as WALKMAN, WearHap, SOMA, and SoftPro. He is the author of the book "Transferring Human Impedance Regulation Skills to Robots" in the Springer Tracts in Advanced Robotics (STAR), and several publications in journals, international conferences, and book chapters. He is currently serving as the executive manager of the IEEE-RAS Young Reviewers' Program (YRP), and as chair and representative of the IEEE-RAS Young Professionals Committee. He has been serving as a member of scientific advisory committee and as an associate editor for several international journals and conferences such as IEEE RAL, Biorob, ICORR, etc. His main research interests are in physical human-robot interaction and cooperation, robotic manipulation, robust and adaptive control, assistive robotics, and tele-robotics. https://www.iit.it/people/arash-ajoudani

Nicola Mosca

Consiglio Nazionale delle Ricerche (CNR) - Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA)

Enrico Turco (co-chair)

istituto Italiano di Tecnologia

Nicola Pedrocchi (Organizer)

NICOLA PEDROCCHI is a mechanical engineer, graduated cum Laude in October 28th 2004 from the University of Study of Brescia, PhD in Applied Mechanics 2008. From 2008 he is fellow researcher at CNR-ITIA, and from 2011 he is researcher with CNR-STIIMA. The research field is on control techniques for Industrial Manipulators in advanced application requiring the interaction robot-environment (e.g. technological tasks) or robot-human operator (e.g. workspace sharing, teach-by-demonstration). He is involved in researches for accurate elastic modelling and dynamic calibration of Industrial Robots. Since 2015, he coordinates the activity of the Robot Motion Control and Robotized Processes Laboratory at CNR STIIMA. https://www.cnr.it/people/nicola.pedrocchi

Loris Roveda (Organizer)

Loris Roveda received the M.Sc. (2011) and the Ph.D. (2015) in Mechanical Engineering at Politecnico di Milano. Currently, he is a researcher at SUPSI-IDSIA, working on AI and ML techniques applied to industrial robotics (such as robot control, human-robot collaboration, dynamics identification). He has been involved in many national and European projects, and he is now coordinating the EUROBENCH XSPINE project and the EUROBENCH STEPbySTEP project, and he is the P.I. of the H2020 CS2 ASSASSINN project. https://www.researchgate.net/profile/Loris_Roveda/research


Category Talk · Type Talk
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