{"id":12704,"date":"2023-07-13T13:58:17","date_gmt":"2023-07-13T11:58:17","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=people&p=12704"},"modified":"2026-01-31T19:49:23","modified_gmt":"2026-01-31T18:49:23","slug":"diego-dallalba","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/diego-dallalba\/","title":{"rendered":"Diego Dall’Alba"},"excerpt":{"rendered":"

Visiting Researcher<\/p>\n","protected":false},"featured_media":21131,"template":"","people_teams":[20],"class_list":["post-12704","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-visiting-scientists"],"yoast_head":"\nDiego Dall'Alba - Centre for Computational Personalized Medicine<\/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:\/\/sano.science\/people\/diego-dallalba\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Diego Dall'Alba\" \/>\n<meta property=\"og:description\" content=\"Visiting Researcher\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/diego-dallalba\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-31T18:49:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/02\/Sano_m_.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1621\" \/>\n\t<meta property=\"og:image:height\" content=\"1621\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/diego-dallalba\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/diego-dallalba\\\/\",\"name\":\"Diego Dall'Alba - 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He received a Ph.D. in Computer Science from the University of Verona in 2014. Since 2008 he has been a member of the Altair robotics laboratory (Verona, Italy). He has been involved in 4 European projects: AccuRobAs, Safros, ISUR and MURAB. In 2012, he was visiting researcher at the University of British Columbia (Vancouver, Canada). He is currently an Assistant Professor (tenure track), working in ARS and ATLAS projects. His main research interests are in the field of surgical robotics (advanced sensing and multi-modal data processing), computer assisted surgery, and ultrasound guided systems.<\/p>\n","email":"","social_media":[{"icon":{"ID":11994,"id":11994,"title":"linkedin","filename":"linkedin.svg","filesize":914,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","link":"https:\/\/sano.science\/people\/maciej-malawski\/linkedin-2\/","alt":"","author":"5","description":"","caption":"","name":"linkedin-2","status":"inherit","uploaded_to":531,"date":"2023-07-06 11:24:13","modified":"2023-07-06 11:24:13","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":1,"height":1,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","medium-width":300,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","medium_large-width":768,"medium_large-height":1,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","large-width":1024,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","1536x1536-width":1,"1536x1536-height":1,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","2048x2048-width":1,"2048x2048-height":1}},"link":"https:\/\/www.linkedin.com\/in\/diegodallalba\/?originalSubdomain=it ","name":"LinkedIn"},{"icon":{"ID":11990,"id":11990,"title":"research gate","filename":"research-gate.svg","filesize":14281,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","link":"https:\/\/sano.science\/people\/maciej-malawski\/research-gate\/","alt":"","author":"5","description":"","caption":"","name":"research-gate","status":"inherit","uploaded_to":531,"date":"2023-07-06 11:18:50","modified":"2023-07-06 11:18:50","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":1,"height":1,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","medium-width":300,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","medium_large-width":768,"medium_large-height":1,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","large-width":1024,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","1536x1536-width":1,"1536x1536-height":1,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","2048x2048-width":1,"2048x2048-height":1}},"link":"https:\/\/www.researchgate.net\/profile\/Diego-Dallalba","name":"ResearchGate"}],"tabs":false,"quote":"","position_with_team":{"text_before_link":"","link_text":"","text_after_link":"","link":""},"publications":[{"ID":23781,"post_author":"8","post_date":"2025-05-20 17:20:11","post_date_gmt":"2025-05-20 15:20:11","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-sHGyzO\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-diego-dall-alba-nbsp-michal-nasket-nbsp-sabina-kaminska-nbsp-przemyslaw-korzeniowski\">Diego Dall'Alba, Micha\u0142 Nasket, Sabina Kaminska, Przemys\u0142aw Korzeniowski<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-UIbTWv\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-mmx73R\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Robotic-assisted surgery is evolving at a fast pace and holds significant potential for improvements through automation. Yet, methods like Reinforcement Learning (RL), which require extensive task repetition, are challenging to apply directly in real surgical scenarios due to safety and feasibility concerns. This highlights the importance of using simulated environments that combine realism with computational efficiency and scalability.<br>In response to this need, we present FF-SRL (Fast and Flexible Surgical Reinforcement Learning) \u2014 a high-speed, GPU-based simulation platform tailored for robotic surgery. Unlike traditional setups, FF-SRL runs both the physics-based simulation and the RL training process entirely on a single GPU. This design eliminates common performance limitations caused by data exchange between the CPU and GPU, significantly boosting learning speed.<br>Experimental results demonstrate that FF-SRL can decrease the training duration for intricate tasks like tissue manipulation by approximately tenfold \u2014 achieving performance in just a few minutes compared to conventional hybrid simulators. This level of efficiency opens new possibilities for testing and refining RL algorithms in surgical contexts. To support further research and collaboration, we have made the FF-SRL framework freely accessible to the research community.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-UIbTWv\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-jsuB1V\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>Authors<\/strong>: <a href=\"https:\/\/sano.science\/people\/diego-dallalba\/\">Diego Dall'Alba<\/a>, <a href=\"https:\/\/sano.science\/people\/michal-naskret\/\">Micha\u0142 Naskret<\/a>, <a href=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/Sabina-Kaminska_Sano.png\">Sabina Kaminska<\/a>, <a href=\"https:\/\/sano.science\/people\/przemyslaw-korzeniowski\/\">Przemys\u0142aw Korzeniowski<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-NEuOqB\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: 10.1109\/IROS58592.2024.10801658<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-NEuOqB\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>Keywords<\/strong>: Robotic-assisted surgery, Reinforcement Learning (RL), Surgical simulation, GPU-based simulation, Fast and Flexible Surgical Reinforcement Learning (FF-SRL), Real-time physics simulation, Computational efficiency, Simulation platform<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-UIbTWv\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_682c9edf5049a\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/arxiv.org\/abs\/2503.18616\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning","post_excerpt":"In: https:\/\/arxiv.org, 2025","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ff-srl-high-performance-gpu-based-surgical-simulation-for-robot-learning","to_ping":"","pinged":"","post_modified":"2025-05-20 17:30:07","post_modified_gmt":"2025-05-20 15:30:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=23781","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":20967,"post_author":"8","post_date":"2025-01-21 16:51:16","post_date_gmt":"2025-01-21 15:51:16","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-6CqjM2\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sabina-martyniak-joanna-kaleta-diego-dall-alba-michal-naskret-szymon-plotka-and-przemyslaw-korzeniowski\">Sabina Martyniak, Joanna Kaleta, Diego Dall'Alba, Micha\u0142 Naskr\u0119t, Szymon P\u0142otka, and Przemys\u0142aw Korzeniowski<br><\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-tI7h1k\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-aU2f7H\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">This work presents an innovative approach to advancing computer-assisted surgical (CAS) systems by addressing challenges in training data quality and realism. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-A5sGbH\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">In this study, the authors introduce a comprehensive pipeline for creating high-quality synthetic data tailored for modern CAS systems. This pipeline integrates an advanced surgical simulator capable of generating complex annotations that surpass those found in existing public datasets. The simulator also models intricate surgical interactions, including the dynamics between instruments and deformable anatomical structures, ensuring a more realistic simulation environment. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-qQq76G\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">To further enhance data realism, the researchers developed a novel image-to-image translation method based on Stable Diffusion (SD) and Low-Rank Adaptation (LoRA). This technique minimizes the visual gap between synthetic and real-world images while preserving the simulator's detailed annotations. By leveraging only a small amount of real-world data, the method enables efficient training and generalizes well to practical applications, thereby improving CAS training and guidance. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-g7BCRx\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">This innovative pipeline has been validated experimentally and is a significant step forward in bridging the gap between synthetic and real-world datasets for surgical applications. The dataset and code are available for the research community<a href=\"https:\/\/github.com\/SanoScience\/SimuScope\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> github.com\/SanoScience\/SimuScope<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-tI7h1k\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-H3zZ17\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>Authors<\/strong>: Sabina Martyniak, Joanna Kaleta, Diego Dall'Alba, Micha\u0142 Naskr\u0119t, Szymon P\u0142otka, and Przemys\u0142aw Korzeniowski<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-aU2f7H\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: 10.48550\/arXiv.2412.02332 <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-tI7h1k\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_678fc2ae54c84\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/arxiv.org\/abs\/2412.02332\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models","post_excerpt":"Conference manuscript in IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), 2024","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"simuscope-realistic-endoscopic-synthetic-dataset-generation-through-surgical-simulation-and-diffusion-models","to_ping":"","pinged":"","post_modified":"2025-05-19 21:17:07","post_modified_gmt":"2025-05-19 19:17:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=20967","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":21132,"post_author":"8","post_date":"2025-02-04 20:31:00","post_date_gmt":"2025-02-04 19:31:00","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-Or1mHV\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-amanuel-ergogo-nbsp-diego-dall-alba-nbsp-przemyslaw-korzeniowski\">Amanuel Ergogo, Diego Dall'Alba, Przemyslaw Korzeniowski<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-juDPze\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-2mxAaw\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">HiLoTEL is a flexible virtual-reality framework for executing and learning tasks in virtual and physical environments. It enables hu-man experts to collaborate with learning agents and intervene when necessary through human-in-the-loop imitation learning. HiLoTEL reduces the need to carry out repetitive tasks, providing the user with an intuitive supervision interface. The system is tested on Pick-and-Place task, considering both teleoperated and passthrough interaction modalities. The results show that HiLoTEL improves success rates while maintaining human-level completion time and providing users with 71% hands free supervision time, thus enabling effective human-robot collaboration<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-juDPze\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-Qwi9b1\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>Authors<\/strong>:\u00a0<a href=\"https:\/\/www.computer.org\/csdl\/search\/default?type=author&givenName=Amanuel&surname=Ergogo\" target=\"_blank\" rel=\"noreferrer noopener\">Amanuel Ergogo<\/a>,\u00a0<a href=\"https:\/\/www.computer.org\/csdl\/search\/default?type=author&givenName=Diego&surname=Dall%27Alba\" target=\"_blank\" rel=\"noreferrer noopener\">Diego Dall'Alba<\/a>,\u00a0\u00a0<a href=\"https:\/\/www.computer.org\/csdl\/search\/default?type=author&givenName=Przemyslaw&surname=Korzeniowski\" target=\"_blank\" rel=\"noreferrer noopener\">Przemyslaw Korzeniowski<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-2RsxZw\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: <a href=\"https:\/\/doi.org\/10.1109\/VRW62533.2024.00137\" target=\"_blank\" rel=\"noreferrer noopener\">10.1109\/VRW62533.2024.00137<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"40px\",\"epAnimationGeneratedClass\":\"edplus_anim-juDPze\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_67a21da58a7e9\",\"name\":\"acf\/button\",\"data\":{\"title\":\"\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.computer.org\/csdl\/proceedings-article\/vrw\/2024\/744900a681\/1XlcE8sI6LC\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"HiLoTEL: Virtual Reality Robot Interface-Based Human-in-the-Loop Task Execution and Learning in the Physical World Through Its Digital Twin","post_excerpt":"Conference manuscript in IEEE VR, 2024","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"hilotel-virtual-reality-robot-interface-based-human-in-the-loop-task-execution-and-learning-in-the-physical-world-through-its-digital-twin","to_ping":"","pinged":"","post_modified":"2025-07-08 16:30:33","post_modified_gmt":"2025-07-08 14:30:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=21132","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":28554,"post_author":"8","post_date":"2026-01-31 19:47:50","post_date_gmt":"2026-01-31 18:47:50","post_content":"<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-7IiDS7\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Mateusz W\u00f3jcikowski, Diego Dall'Alba, Sabina Martyniak, Szymon P\u0142otka, Renata Szydlak, Piotr Walecki, Andrzej A Kononowicz, Przemyslaw Korzeniowski<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"20px\",\"epAnimationGeneratedClass\":\"edplus_anim-eOcEsc\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-7IiDS7\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><strong>VR Simulator for Robotic-Assisted Surgery Training<br><\/strong>This study explored the use of a <strong>VR-based robotic surgery simulator<\/strong> designed for medical education. The simulator, compatible with Meta Quest 2\/3\/Pro headsets, was tested by 67 international medical students to evaluate its usability and educational value.<br>The system reproduces the cholecystectomy procedure using the Extended Position-Based Dynamics (XPBD) method to simulate soft tissue behavior in real time (1 kHz physics, 90 Hz graphics). Most participants rated the simulator as a valuable learning tool, with over 80% reporting improved understanding of anatomy and surgical workflows.<br>Students appreciated the safe, immersive practice environment and the opportunity for repeated training. Suggested improvements included enhancing tissue realism, diversifying the range of surgical scenarios, and optimizing the user interface for VR interaction. Overall, the project highlights the strong potential of VR simulators to transform surgical training.<br>Read more in the full article at the link below.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"20px\",\"epAnimationGeneratedClass\":\"edplus_anim-eOcEsc\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-7IiDS7\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Conference: Hamlyn Symposium on Medical Robotics 2025<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"20px\",\"epAnimationGeneratedClass\":\"edplus_anim-bNjJc0\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_697e4d14f1bac\",\"name\":\"acf\/button\",\"data\":{\"title\":\"Read\/Download\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/events.plgrid.pl\/event\/89\/contributions\/745\/attachments\/195\/440\/VRSR_for_Marian_2.pdf\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Affordable Virtual Reality Simulation for Robotic Surgery: Preliminary Usability and Educational Evaluation","post_excerpt":"Conference abstract: Hamlyn Symposium on Medical Robotics 2025, 2025","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"affordable-virtual-reality-simulation-for-robotic-surgery-preliminary-usability-and-educational-evaluation","to_ping":"","pinged":"","post_modified":"2026-01-31 19:47:51","post_modified_gmt":"2026-01-31 18:47:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=28554","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/people"}],"version-history":[{"count":7,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12704\/revisions"}],"predecessor-version":[{"id":28566,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12704\/revisions\/28566"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/21131"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=12704"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=12704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}