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New generation Collaborative Robotic Technologies for Improving Productivity and Workers' Well-being

New generation Collaborative Robotic Technologies for Improving Productivity and Workers' Well-being

One of the main research directions of the HRI² laboratory (https://hri.iit.it) of the Italian Institute of Technology, is to create reconfigurable and adaptive collaborative robotic systems that rest on the principles of lean manufacturing. From one hand, their loco-manipulation potential will enable fast reconfiguration to various applications, hence minimizing waste associated with robot waiting times and cost.
On the other hand, their real-time and autonomous capabilities to adapt to the task requirements and their counterparts' (such as humans) kinodynamic states will contribute to the creation of high-performance and ergonomic working environments.
To illustrate this potential, the HRI² laboratory will demonstrate the application of the new MObile Collaborative Robot Assistant (MOCA) in ergonomic human-robot task sharing and remote tele-manipulation control.

Italy


New generation Collaborative Robotic Technologies for Improving Productivity and Workers' Well-being

Dr. Arash Ajoudani

Arash Ajoudani received his PhD degree in Robotics and Automation from Centro "E Piaggio", University of Pisa, and Advanced Robotics Department (ADVR), Italian Institute of Technology (IIT), Italy (July 2014). He is currently a tenure-track scientist and the leader of the Human-Robot Interfaces and physical Interaction (HRI²) lab of the IIT.

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 Werob best poster award 2018, winner of the KUKA Innovation 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 Georges Giralt PhD award 2015 (best European PhD thesis award in robotics), 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 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), chair and representative of the IEEE-RAS Young Professionals Committee, and co-chair of the IEEE-RAS Member Services 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.


Stand C27 (pav. 9) - Istituto Italiano di Tecnologia


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Data updated on 2019-10-20 - 5.32.19 pm