Technical University of Munich (TUM), Germany
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Bio: Sami Haddadin is Founding Director and Executive Director of the Munich Institute of Robotics and Machine Intelligence (MIRMI), Professor and Chair of Robotics and Systems Intelligence at the Technical University of Munich (TUM) and IEEE Fellow. Before joining TUM, Sami Haddadin was Professor and Chair of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover from 2014 to 2018 and received faculty offers from MIT and Stanford. Prior to that, he held various positions as a researcher at the German Aerospace Center (DLR). He has published more than 200 scientific articles in international journals and conferences, many of them award-winning. He has received numerous awards for his scientific work, including the George Giralt Ph.D. Award (2012), the RSS Early Career Spotlight (2015), the IEEE/RAS Early Career Award (2015), the Alfried Krupp Award for Young Professors (2015), the German President’s Award for Innovation in Science and Technology (2017) and the Leibniz Prize (2019). He is a member of the German National Academy of Sciences Leopoldina and the national academy of science and engineering acatech. He was a member of the High-Level Expert Group on AI of the European Commission and is the chairman of the Bavarian AI Council.
Professor Haddadin conducts research in the fields of robotics, Artificial Intelligence (AI), and human neuroscience. His robot developments range from manipulators, Unmanned Aerial Vehicles (UAVs), or mobile systems to humanoids, intelligent prosthetics, and exoskeletons. A strong overarching focus of his work lies in the interface between the development of intelligent machines and the basic principles of the human body and its functionality. His research led to numerous commercializations and real-world uses in industry, healthcare, and consumer markets. He is the founder of Franka Emika GmbH (Munich, 2016). He played a key role in the development of the lightweight robot technology, which became the LBR iiwa in the technology transfer to KUKA AG. His algorithms found their way e.g. into the drones of Skydio Inc. or the intelligent rehabilitation robots of Reactive Robotics.
Czech Technical University in Prague, Czechia
Talk title : Hitting it hard with a cobot: Maximizing productivity in the power and force limiting regime
Talk abstract:
Allowing collisions of a human operator with a moving robot can be potentially dangerous but if the contact forces can be reliably regulated, such a regime constitutes the most natural and versatile form of human-robot collaboration. The permissible collision forces are prescribed by the Power and Force Limiting (PFL) regime (ISO/TS 15066), but the formula linking the allowed forces and the robot velocity is too simplistic and typically too conservative which compromises productivity. More accurate estimation can be obtained by employing the effective mass, taking into account the full dynamics including the position in the workspace and the impact direction. We show how the effective mass can be computed online for every robot link and used to dynamically set collision thresholds, avoiding stops when forces are within limits and maximizing productivity. To validate the empirical predictions, we conducted a series of case studies on different collaborative and industrial robots and measured hundreds of impacts. We specifically gauged the effects of protective electronic skins under different settings. While the effective mass provides a useful baseline for estimating collision forces, we show that empirical in situ measurements are still indispensable as some settings such as the robot internal collision reactions play an important part and cannot be easily modeled.
Bio:
Matej Hoffmann received the Ph.D. degree in informatics from Artificial Intelligence Lab, University of Zurich, Zurich, Switzerland, in 2012. From 2013 to 2016, he conducted postdoctoral research with the iCub Facility of the Italian Institute of Technology, Genoa, Italy, supported by a Marie Curie Intra-European Fellowship. In 2017, he joined the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, where he is currently an Associate Professor and the Coordinator of the Humanoid and Cognitive Robotics Group. His research interests include humanoid, cognitive developmental, and collaborative robotics.
Senior Scientist, Fraunhofer IFF, Germany
Talk title: The role of AI in ongoing and future standardization activities
Talk abstract:
Today, the current landscape of standards and mandatory safety procedures is barely prepared for emerging AI technologies that enable assisting robots to act more autonomously in everyday applications. At least for cobots, several standardization projects are already ongoing that intend to reduce this vacuum, albeit for the industrial domain. In this talk, we will give an exclusive insight into the ongoing standardization activities for industrial cobots, including an outlook on the expected outcome that has great potential to pave the way for safe AI-controlled robots deployed in
other domains. The talk kindly invites everyone who would like to discuss the role, challenges, and opportunities of international standardization. It will also provide a forum to explore how science can be involved to speed up standardization activities
Bio:
Dr. Roland Behrens has been affiliated with Fraunhofer IFF since 2009 and currently leads the Department of Human-Centered Systems, overseeing a team of more than 20 researchers and PhD candidates. He obtained his Diploma in Mechatronics from Otto-von-Guericke University in Magdeburg, Germany, in 2009 and earned his PhD in 2018 from the Technical University of Ilmenau, Germany.
Dr. Behrens has led numerous human-subject studies, primarily commissioned by the German Social Accident Insurance (DGUV) and the German Social Accident Insurance Institution for the woodworking and metalworking industries (BGHM). These studies focused on determining biomechanical limit values related to robot-induced collisions and clamping contacts, aiming to improve safety standards in industrial settings. His earlier work investigated the inertia effects of human body parts, establishing parameters for future robotics safety standards.
Since 2021, Dr. Behrens has served as the convener of ISO/TC 299/WG 8, which focuses on "Biomechanical Data and Validation Methods for Physical Human-Robot Interactions". He is actively involved in developing new standards, including updates to ISO/TS 15066, which will likely evolve into a family of three international standards aimed at enhancing safety in collaborative robotics.
Additionally, he has been a member of the German mirror committee on Industrial Robot Safety (DIN NA 060-38-01-01 AK) since 2018, contributing to safety regulations for industrial robots.