{"id":70,"date":"2022-06-24T14:55:19","date_gmt":"2022-06-24T14:55:19","guid":{"rendered":"https:\/\/r2clab.com\/?page_id=70"},"modified":"2026-02-10T19:04:49","modified_gmt":"2026-02-10T19:04:49","slug":"research","status":"publish","type":"page","link":"https:\/\/r2clab.com\/?page_id=70","title":{"rendered":"Research"},"content":{"rendered":"\n<div class=\"wp-block-columns are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-d20ad609 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">The Lab focuses on the design of optimization-based algorithms for robot control and coordination in human-inhabited environments. Our goal is to ensure a safe, reliable, secure, and private coordination of the robots among humans.<\/p>\n\n\n\n<p class=\"\" align=\"justify\">The main methods involved in our research are nonlinear model predictive control (MPC) and decomposition methods (e.g., ADMM and AMA). We also investigate control strategies using deep reinforcement learning and game theory. Finally, we are exploring how to integrate privacy-preserving algorithms in the context of robot control and planning.<\/p>\n\n\n\n<p class=\"\" align=\"justify\">The main application domains of the Lab&#8217;s research are automotive, maritime transportation, manipulators, and UAVs.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Optimization<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Model Predictive Control<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Autonomous Vehicles<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Cybersecurity<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Reinforcement Learning<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-right nfd-wb-animate nfd-wb-reveal-right\">Game Theory<\/h4>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:38px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div style=\"height:38px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"text-transform:uppercase\">Projects<\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2025\/08\/ChatGPT-Image-Aug-25-2025-03_27_46-PM.png?resize=1024%2C1024&#038;ssl=1\" alt=\"\" class=\"wp-image-1042 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2025\/08\/ChatGPT-Image-Aug-25-2025-03_27_46-PM.png?w=1024&amp;ssl=1 1024w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2025\/08\/ChatGPT-Image-Aug-25-2025-03_27_46-PM.png?resize=300%2C300&amp;ssl=1 300w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2025\/08\/ChatGPT-Image-Aug-25-2025-03_27_46-PM.png?resize=150%2C150&amp;ssl=1 150w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">SECURE<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\">Secure Interaction-aware Multi-robot Cooperation<\/h4>\n\n\n\n<p class=\"\" align=\"justify\">Autonomous mobile robots will provide fundamental help to humans in a variety of missions, such as area monitoring, surveillance, exploration, information gathering or construction of infrastructures, potentially in cooperation with robots from other organizations. The result of this cooperation will be a heterogeneous team of robots with different capabilities and interfaces, possibly working together with humans. Robots will have to communicate with each other and share sensitive information, which is not possible with currently available methods.<\/p>\n\n\n\n<p class=\"\" align=\"justify\">SECURE aims to resolve the conflicting objectives of safety, security, and privacy. For instance, modifying shared information for security purposes could compromise the safety of the robots. The proposed multi-robot coordination framework will feature several interconnected modules to ensure security and privacy while maintaining safety. By integrating control theory, robotics, and computer science, SECURE will develop an innovative interaction-aware framework for robots to navigate near other agents. This will be enhanced by an active-diagnosis strategy to detect and isolate malicious agents within the network. The project will also explore how to shape robot navigation constraints to account for communication delays and leverage robust control approaches to enhance network security and interaction safety.<\/p>\n\n\n\n<p class=\"\" align=\"justify\">The project will develop open-source algorithms and demonstrate their effectiveness using autonomous mobile robots like Micro Aerial Vehicles or mobile manipulators. The ultimate goal is to enable the safe and secure deployment of a team of mobile robots in unknown environments in cooperation with other parties.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"\" align=\"justify\">This project is funded by the Office of Naval Research Global (ONRG).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Contact: Dr. J. Alonso-Mora, Dr. L. Ferranti<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"265\" height=\"266\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/Picture1-1.png?resize=265%2C266&#038;ssl=1\" alt=\"\" class=\"wp-image-100 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/Picture1-1.png?w=265&amp;ssl=1 265w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/Picture1-1.png?resize=150%2C150&amp;ssl=1 150w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/Picture1-1.png?resize=80%2C80&amp;ssl=1 80w\" sizes=\"auto, (max-width: 265px) 100vw, 265px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">HARMONIA<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\">Seamless Mobile-Robot Coordination In the Real World<\/h4>\n\n\n\n<p class=\"\" align=\"justify\">Mobile robots, such as autonomous cars, vessels, and drones, can significantly improve our quality of life. These robots are equipped with communication units that allow information sharing and coordination near humans, abilities that are fundamental to improve, for example, traffic efficiency and even save human lives. However, the occurrence of faults and attacks can severely disrupt the coordination with negative consequences on humans\u2019 safety and security. Furthermore, to coordinate, the robots share private users\u2019 information, such as habits, routes, and destinations, which may be inadvertently exposed to prying eyes. Hence, there is an urgent need to address safety, security, and privacy concerns for our society to fully benefit from multi-robot systems.<\/p>\n\n\n\n<p class=\"\" align=\"justify\">This project will devise a unified coordination framework for mobile robots to seamlessly perform tasks near humans, providing strong safety, but also security and privacy guarantees.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"\" align=\"justify\">This project received fundings from the Dutch Science Foundation NWO-TTW within the Veni project HARMONIA (nr. 18165).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Contact: Dr. L. Ferranti<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"745\" height=\"200\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/remaro1-right-1024-1.png?resize=745%2C200&#038;ssl=1\" alt=\"\" class=\"wp-image-98 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/remaro1-right-1024-1.png?w=745&amp;ssl=1 745w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/remaro1-right-1024-1.png?resize=300%2C81&amp;ssl=1 300w\" sizes=\"auto, (max-width: 745px) 100vw, 745px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">REMARO<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\"><em>Reliable AI for Marine Robotics<\/em><\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\"><strong>REMARO<\/strong>&nbsp;attacks one of the most pressing problems of modern computing, the safety of AI, in the well defined context of submarine robotics. The&nbsp;<strong>REMARO<\/strong>&nbsp;research fellows will develop the first ever submarine robotics AI methods with quantified reliability, correctness specifications, models, tests, and analysis &amp; verification methods.&nbsp;<strong>REMARO<\/strong>&nbsp;rests on two founding principles: (i) The submarine robot autonomy requires a comprehensive&nbsp;<em>hybrid deliberative architecture<\/em>, a robotic brain. (ii) Safety and reliability must be&nbsp;<em>co-designed simultaneously&nbsp;<\/em>with cognition, not separately, as an afterthought. These principles are used to construct the training program (to train ESRs to deliver required scientific breakthroughs) and the expert consortium (to supervise the ESRs, run secondments and courses).<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">REMARO has received funding from the European Union\u2019s EU Framework Programme for Research and Innovation Horizon 2020 under Grant Agreement No 956200.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/remaro.eu\/\">REMARO website<\/a><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"409\" height=\"155\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/opendr_logo.png?resize=409%2C155&#038;ssl=1\" alt=\"\" class=\"wp-image-96 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/opendr_logo.png?w=409&amp;ssl=1 409w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/opendr_logo.png?resize=300%2C114&amp;ssl=1 300w\" sizes=\"auto, (max-width: 409px) 100vw, 409px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">OpenDR<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\"><em>Open Deep Learning Toolkit for Robotics<\/em><\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">The aim of OpenDR is to develop a modular, open and non-proprietary deep learning toolkit for robotics. We will provide a set of software functions, packages and utilities to help roboticists develop and test robotic applications that incorporate deep learning. OpenDR will enable linking robotics applications to software libraries such as tensorflow and the ROS operating environment. We focus on the AI and cognition core technology in order to give robotic systems the ability to interact with people and environments by means of deep-learning methods for active perception, cognition and decisions making. OpenDR will enlarge the range of robotics applications making use of deep learning, which will be demonstrated in the applications areas of healthcare, agri-food and agile production.&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The project is funded by the EU Horizon 2020 program, call H2020-ICT-2018-2020 (Information and Communication Technologies), 2019 \u2013 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/opendr.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\">OpenDR website<\/a><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/IMG_20200130_175049_323.jpg?ssl=1\" alt=\"\" class=\"wp-image-94 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">SCoop<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\"><em>Safe Cooperation of Autonomous Vehicles in Mixed Traffic<\/em><\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">Autonomous vehicles (such as cars and vessels) will be widespread in our daily lives, aiming at reducing pollution while improving traffic efficiency and safety. The ability of these vehicles to cooperate in planning trajectories is one of the main strengths of this technology. The presence of human-operated vehicles and the occurrence of sensor\/actuator faults, however, complicate the vehicle cooperation. Failing to handle these mixed-traffic uncertainties and faults in the motion planning strategy can inevitably compromise the cooperation. The goal of this project (SCoop) is to design a cooperation framework to allow autonomous vehicles to safely navigate in the presence of human-operated vehicles and faults. To design a novel safe cooperation framework, the project will rely on tools for uncertainty estimation\/fault diagnosis and distributed motion planning. Experiments on real autonomous surface vessels (ASVs) will demonstrate the effectiveness of the proposed design. SCoop is a Cohesion project between the Cognitive Robotics Department and the Maritime and Transport Technology Department.<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Coordinator: TU Delft.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Contact: Dr. L. Ferranti and <a href=\"https:\/\/www.tudelft.nl\/staff\/v.reppa\/?cHash=34cf87e58610725905aa3323e57ff597\" target=\"_blank\" rel=\"noreferrer noopener\">Dr. V. Reppa<\/a><\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"704\" height=\"567\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/prius.png?resize=704%2C567&#038;ssl=1\" alt=\"\" class=\"wp-image-92 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/prius.png?w=704&amp;ssl=1 704w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/prius.png?resize=300%2C242&amp;ssl=1 300w\" sizes=\"auto, (max-width: 704px) 100vw, 704px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">SafeVRU<\/h3>\n\n\n\n<h4 class=\"wp-block-heading nfd-wb-animate nfd-wb-fade-in-bottom\"><em>Safe Interaction of Automated Vehicles with Vulnerable Road Users<\/em><\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">SafeVRU addresses the interaction of highly automated vehicles with vulnerable road users (VRUs), such as pedestrians and cyclists, in the context of future urban mobility. Pursue an integrated approach, covering the spectrum of VRU sensing, cooperative localization, behavior modeling &amp; intent recognition, and vehicle control.<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Coordinator: TU Delft.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>User Group: Province of Gelderland, TNO, NXP, 2GetThere, SWOV, RDW.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Contact:&nbsp;<a href=\"http:\/\/www.gavrila.net\/\">Prof. Dr. D. M. Gavrila<\/a><\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile is-image-fill-element\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1376\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?fit=1024%2C550&amp;ssl=1\" alt=\"\" class=\"wp-image-33 size-large\" style=\"object-position:21% 62%\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?w=2560&amp;ssl=1 2560w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?resize=300%2C161&amp;ssl=1 300w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?resize=1024%2C550&amp;ssl=1 1024w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?resize=768%2C413&amp;ssl=1 768w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?resize=1536%2C826&amp;ssl=1 1536w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/PXL_20220531_192309878.MP_-1-scaled-e1656402076664.jpg?resize=2048%2C1101&amp;ssl=1 2048w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">Formation control for Waterborne Structures<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">The project investigates the use of distributed optimization techniques for a multi-robot coordination problem, that is, the navigation of autonomous vessels at a canal intersection.<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The project was a collaboration within the faculty of Mechanical, Maritime, and Material Engineering at TU Delft.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Contact:&nbsp;<a href=\"http:\/\/www.alonsomora.com\/\">Dr. J. Alonso-Mora<\/a>,&nbsp;<a href=\"https:\/\/www.dcsc.tudelft.nl\/~tkeviczky\/\">Dr. T. Keviczky<\/a>, and&nbsp;<a href=\"http:\/\/negenborn.net\/rudy\/\">Prof. R. R. Negenborn<\/a>.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"164\" src=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/RECONFIGURE-320x164-1.jpg?resize=320%2C164&#038;ssl=1\" alt=\"\" class=\"wp-image-80 size-full\" srcset=\"https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/RECONFIGURE-320x164-1.jpg?w=320&amp;ssl=1 320w, https:\/\/i0.wp.com\/r2clab.com\/wp-content\/uploads\/2022\/06\/RECONFIGURE-320x164-1.jpg?resize=300%2C154&amp;ssl=1 300w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\">RECONFIGURE<\/h3>\n\n\n\n<h4 class=\"wp-block-heading has-text-align-left nfd-wb-animate nfd-wb-fade-in-bottom\"><em>Reconfiguration of Control in Flight for Integral Global Upset Recovery<\/em><\/h4>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\" align=\"justify\">The main goal of RECONFIGURE is to investigate and develop aircraft guidance and control (G&amp;C) technologies that facilitate the automated handling of off-nominal\/abnormal events and optimize the aircraft status and flight. The automatism of the G&amp;C will help alleviate the pilots\u2019 task and optimize performance by automatically reconfiguring the aircraft to its optimal flight condition. This automatism and optimization must be performed while maintaining the current aircraft safety levels.<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">More Information<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"http:\/\/reconfigure.deimos-space.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">RECONFIGURE website<\/a><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Lab focuses on the design of optimization-based algorithms for robot control and coordination in human-inhabited environments. Our goal is to ensure a safe, reliable, secure, and private coordination of the robots among humans. The main methods involved in our research are nonlinear model predictive control (MPC) and decomposition methods (e.g., ADMM and AMA). We&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-70","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research - Reliable Robot Control Lab<\/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:\/\/r2clab.com\/?page_id=70\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Reliable Robot Control Lab\" \/>\n<meta property=\"og:description\" content=\"The Lab focuses on the design of optimization-based algorithms for robot control and coordination in human-inhabited environments. Our goal is to ensure a safe, reliable, secure, and private coordination of the robots among humans. The main methods involved in our research are nonlinear model predictive control (MPC) and decomposition methods (e.g., ADMM and AMA). 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