Rapid Interactive Keynote Addresses |
Anticipating learning in stochastic optimal control
Sandra Hirche
Her main research interests include learning, cooperaOve, and networked control with applicaOons in human-robot interacOon, mulO-robot systems, and general roboOcs. She has published more than 200 papers in internaOonal journals, books and refereed conferences. She has received mulOple awards such as the Rohde & Schwarz Award for her PhD thesis, the IFAC World Congress Best Poster Award in 2005 and – together with students – Best Paper Awards of IEEE WorldhapOcs and IFAC Conference of Manoeuvring and Control of Marine Crae in 2009 and the Outstanding Student Paper Award of the IEEE Conference on Decision and Control 2018. In 2013 she has been awarded with an ERC StarOng Grant on the "Control based on Human Models" and in 2019 with the ERC Consolidator Grant on "Safe data-driven control for human-centric systems". She has just been elevated to IEEE Fellow. |
Making Money in Energy Markets: Probabilistic Forecasting and Stochastic Programming Paradigms
Alexander Dowling
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Backstepping Control of Gliding Robotic Fish for Trajectory Tracking in 3D Space
Demetris Coleman
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Delaying Cyberattack Impacts Using Lyapunov-Based Economic Model Predictive Control
Helen Durand
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Optimal Real-time Scheduling of Human Attention for a Human and Multi-Robot Collaboration System
Fumin Zhang
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Multi-Agent Control Using Coverage Over Time-Varying Domains
Yancy Diaz-Mercado
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