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Abstract Plant roots are considered highly efficient soil explorers. As opposed to the push-driven penetration strategy commonly used by many digging organisms, roots penetrate by growing, adding new cells at the tip, and elongating over a well-defined growth zone. However, a comprehensive understanding of the mechanical aspects associated with root

Abstract Training Reinforcement Learning (RL) policies for a robot requires an extensive amount of data recorded while interacting with the environment. Acquiring such a policy on a real robot is a tedious and time-consuming task. This is more challenging in a multi-agent system where individual data may be required from

May 26th , 2024   The Zimin Institute for Engineering Solutions Advancing Better Lives at Tel Aviv University recently marked its sixth anniversary with an appreciation ceremony. The event brought together leaders of the Zimin Foundation, representatives of the Zimin Institute at Tel Aviv University, and researchers who have benefited

The Zimin Institute has been at the forefront of scientific philanthropy for over six years, supporting research at universities worldwide, including Tel Aviv University (TAU). Its mission is to harness contemporary scientific insights to address humanity’s challenges, bridging the gap between theory and practicscienal application. An integral part of this process is the

Abstract Plant roots are considered highly efficient soil explorers. As opposed to the push-driven penetration strategy commonly used by many digging organisms, roots penetrate by growing, adding new cells at the tip, and elongating over a well-defined growth zone. However, a comprehensive understanding of the mechanical aspects associated with root

Introduction Multi-Agent Reinforcement Learning (MARL) addresses the decision-making for multiple agents in a common environment moving collectively [1, 2]. Many MARL algorithms were developed in recent years [3, 4] while only few were tested on real robots [5, 6]. In general, training Reinforcement Learning (RL) policies on real robots is a tedious and

  Shaping the Future: Unmasking the Visionary Minds Behind the Zimin Awards 2023 May 16th , 2023   The Zimin Institute for Engineering Solutions Advancing Better Lives at Tel Aviv University announced the winners of its 2023 research grants in June. The four winning TAU projects presented solutions to some

David Mendlovic is a Full Professor of Electro-Optics, the Vice Dean for Research of the Faculty of Engineering, and the head of the Zimin Institute for Engineering Solutions Advancing Better Lives at Tel Aviv University. In addition to his academic work, Mendlovic is currently the CEO of Corephotonics, a camera tech company acquired

Abstract Design of peptide binders is an attractive strategy for targeting “undruggable” protein-protein interfaces. Current design protocols rely on the extraction of an initial sequence from one known protein interactor of the target protein, followed by in-silico or in-vitro mutagenesis-based optimization of its binding affinity. Wet lab protocols can explore only a minor portion

The Zimin Institute for Engineering Solutions Advancing Better Lives at Tel Aviv University announced the winners of its 2022 research grants in June. The four winning TAU projects presented solutions to some of the world’s most pressing challenges in the areas of medical applications. The winners were: Prof. Alexander Goldberg