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X-WR-CALNAME;VALUE=TEXT:UPM SEMINAR SERIES 
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SUMMARY:UPM SEMINAR SERIES 
DESCRIPTION:<p class="text-align-center"><strong>Bio-Inspired Robotics for Last Meter Delivery</strong></p><p>Santiago's research focuses on Bio-Inspired Robotics for Last-Meter Delivery. He is currently developing a quadruped robot that mimics the behavior of a panda. The goal of this project is to showcase how future delivery systems can be more human-friendly and environmentally sustainable.<span>&nbsp;</span></p><p>&nbsp;</p><drupal-media data-entity-type="media" data-entity-uuid="04178c99-66d9-487d-a78a-096bac50db4a" data-align="center">&nbsp;</drupal-media><p><span><strong>Speaker: Santiago Rodrigo </strong></span><em><span>(MIT’s City Science Lab)</span></em></p><p><span><strong>LAB: </strong>MIT Media Lab – City Science&nbsp;</span></p><p>&nbsp;</p><p class="text-align-center"><span><strong>Simulating Society: Leveraging Large Language Models as Citizen Agents to Study Urban Behavior&nbsp;</strong></span></p><p><span>This project explores the use of Humanized Agent- Based Models (h-ABMs) powered by Large Language Models (LLMs) to simulate citizen behavior in urban environments. By modeling social interactions, individual and collective decision-making, and the impact of urban policies, this approach integrates learning capabilities and diversity within the agents. Aiming the prediction and optimization of urban scenarios, supporting the design of more sustainable, inclusive, and resilient cities, with a focus on enhancing quality of life and facilitating informed urban planning and policy development.&nbsp;</span></p><drupal-media data-entity-type="media" data-entity-uuid="b1c9716d-e1d1-43c4-83c1-5a93d800174b" data-align="center">&nbsp;</drupal-media><p><strong>Speaker: José Miguel Nicolás García </strong><em>(researcher in Artificial Intelligence with a focus on Large Language Models (LLMs).<span>&nbsp;</span></em></p><p><span><strong>LAB: </strong>MIT Media Lab – City Science&nbsp;</span></p>
LOCATION:RCCHU Conference Room
STATUS:CONFIRMED
DTSTART:20250317T213000Z
DTEND:20250317T223000Z
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