{"id":108,"date":"2022-06-15T15:09:33","date_gmt":"2022-06-15T15:09:33","guid":{"rendered":"https:\/\/wisarn2022.nws.cs.unibo.it\/?page_id=108"},"modified":"2025-05-10T12:44:00","modified_gmt":"2025-05-10T12:44:00","slug":"program-2","status":"publish","type":"page","link":"https:\/\/netrobics2025.nws.cs.unibo.it\/?page_id=108","title":{"rendered":"Program"},"content":{"rendered":"\n<p><strong>09:00\u201309:10<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Welcome<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>09:10\u201310:00<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Session 1:\u202fNetworked robotics (part I)<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>AI-Empowered IoT Data Collection via UAV in Rural Areas<\/strong>&nbsp;<\/p>\n\n\n\n<p>Phuc Tinh Vo and Giovanni Giambene (University of Siena, Italy); Paolo Barsocchi (ISTI-CNR, Italy); Antonino Crivello (Institute of Information Science and Technologies &#8211; CNR, Italy)&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using Wake-Up Radios<\/strong>&nbsp;<\/p>\n\n\n\n<p>Silvano Cortesi, Christian Vogt and Michele Magno (ETH Zurich, Switzerland)&nbsp;<\/p>\n\n\n\n<p><strong>\u202f<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>10:00\u201310:30&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Coffee Break<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>10:30\u201311:30&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Keynote&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Speaker:&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Prof Amanda Prorok<\/strong>&nbsp;<\/p>\n\n\n\n<p><em>Professor of Collective Intelligence and Robotics\u202f<\/em>&nbsp;<\/p>\n\n\n\n<p><em>Department of Computer Science and Technology<\/em>&nbsp;<\/p>\n\n\n\n<p><em>Cambridge University UK<\/em>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>TITLE: <\/strong>Synthesizing Multi-Robot Policies: From Cooperative Perception to Human-Led Fleet Control&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>ABSTRACT: <\/strong>How are we to orchestrate large teams of robots? How do we distill global goals into local robot policies? And how do we seamlessly integrate human-led fleet control? Machine learning has revolutionized the way in which we address these questions by enabling us to automatically synthesize agent policies from high-level objectives. In this presentation, I first describe how we leverage data-driven approaches to learn interaction strategies that lead to coordinated and cooperative robot behaviors. I will introduce our work on Graph Neural Networks, and show how we use such architectures to learn multi-agent policies through differentiable communications channels. I present experimental results with mobile robots engaged in cooperative perception, formation control, and human-led path-finding; I also show how the methods scale to very large-scale systems, and how they are capable of modeling complex physical interactions in close-proximity flight with multiple quadrotors.&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>BIO: <\/strong>Amanda Prorok is Professor of Collective Intelligence and Robotics in the Department of Computer Science and Technology at the University of Cambridge, and a Fellow of Pembroke College. In her work, she pioneered differentiable communications methods for multi-agent systems, with applications to multi-robot perception and control. Amanda has given invited keynotes at TEDx and ICRA, and has been honored by numerous research awards, including a prestigious ERC Starting Grant. Amanda is an IEEE Senior Member, serves as Associate Editor for Autonomous Robots (AURO) and was the Chair of the 2021 IEEE International Symposium on Multi-Robot and Multi-Agent Systems. Her PhD thesis was awarded the Asea Brown Boveri (ABB) prize for the best thesis at EPFL in Computer Science.\u202f&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Session 2:\u202fNetworked robotics (part II)<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>11:30\u201312:20\u202f<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Edge4Drone: Managing Landings and Takeoffs in High-Density Distribution Centers<\/strong>&nbsp;<\/p>\n\n\n\n<p>Lucas de Paula Soares (Universidade Estadual de Campinas (UNICAMP), Brazil); Fabiola Martins Campos de Oliveira (Federal University of ABC, Brazil); Carlos Alberto Kamienski (Universidade Federal do ABC, Brazil); Luiz F. Bittencourt (University of Campinas, Brazil)&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications<\/strong>&nbsp;<\/p>\n\n\n\n<p>Peizheng Li (Toshiba Europe Ltd., United Kingdom (Great Britain)); Adnan Aijaz (Toshiba Europe Ltd, United Kingdom (Great Britain))&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>12:20\u201313:50&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Lunch Break<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>13:50\u201315:30\u202f<\/strong>&nbsp;<\/p>\n\n\n\n<p><strong>Session 3:\u202fApplications of Swarm Robotics<\/strong>&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>SauRON: Smart Surveillance using Robotic Swarms with Optimized Networks<\/strong>&nbsp;<\/p>\n\n\n\n<p>Gaurav Singh, Sunday Amatare and Debashri Roy (The University of Texas Arlington, USA)&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>A Hierarchical Optimization Framework Using Deep Reinforcement Learning for Task-Driven Bandwidth Allocation in 5G Teleoperation&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<p>Narges Golmohammadi (University of Louisville, USA); Madan Mohan Rayguru (J B Speed School of Engineering &amp; University of Louisville, USA); Sabur Baidya (University of Louisville, USA)&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Scalable Buoy Networks for IoT-Driven Marine Wildlife Conservation<\/strong>&nbsp;<\/p>\n\n\n\n<p>Michel Fontaine, Mohammad Patel, Chloe Riviere, Clement Sautron and Theo Socha (University of Reunion, Reunion); Tahiry Razafindralambo (University of la Reunion, Reunion); Pierre-Ugo Tournoux (Universit\u00e9 de la R\u00e9union, Reunion)&nbsp;<\/p>\n\n\n\n<p>\u202f&nbsp;<\/p>\n\n\n\n<p><strong>Green Robotic Mixed Reality with Gaussian Splatting<\/strong>&nbsp;<\/p>\n\n\n\n<p>Chenxuan Liu (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China); He Li (University of Macau, Macao); Zongze Li (Peng Cheng Laboratory, China); Shuai Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China); Wei Xu (Manifold Tech Limited, China); Kejiang Ye (Chinese Academy of Sciences, China); Derrick Wing Kwan Ng (University of New South Wales, Australia); Cheng-Zhong Xu (University of Macau, China)&#8221;&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>09:00\u201309:10&nbsp; Welcome&nbsp; \u202f&nbsp; 09:10\u201310:00&nbsp; Session 1:\u202fNetworked robotics (part I)&nbsp; \u202f&nbsp; AI-Empowered IoT Data Collection via UAV in Rural Areas&nbsp; Phuc Tinh Vo and Giovanni Giambene (University of Siena, Italy); Paolo Barsocchi (ISTI-CNR, Italy); Antonino Crivello (Institute of Information Science and Technologies &#8211; CNR, Italy)&nbsp; \u202f&nbsp; WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-108","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Program - IEEE NetRobiCS 2025<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/netrobics2025.nws.cs.unibo.it\/?page_id=108\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Program - IEEE NetRobiCS 2025\" \/>\n<meta property=\"og:description\" content=\"09:00\u201309:10&nbsp; 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