Virginia Tech Mechanical Engineering’s Post

EPICS in IEEE is excited to launch our fall call for proposals that will fund applications of artificial intelligence and autonomous systems. We encourage teams to explore technical applications of machine learning, fuzzy systems, evolutionary computing, embedded intelligent systems, generative AI, hybrid intelligent systems, robotics, drone technologies, and assistive technologies. EPICS in IEEE proposals should address specific applications of AI in industries such as healthcare, agriculture, education, environmental improvements, and other applications for societal benefit. Students are encouraged to think creatively about these technical areas that can result in direct societal benefit from a solution that will be adopted by the community partner. The projects should be able to be completed in 1 year or less. All projects must have IEEE members involved. We encourage teams to partner with local IEEE sections, chapters, societies, and affinity groups as well as IEEE student branches for projects. Selected projects will receive up to $10,000 USD, mentorship, and resources. The deadline to submit a proposal is October 15th, 2024. For more information: https://lnkd.in/eR-BXW5P

Our Harvard Computational Robotics group has - 2 papers accepted to #L4DC2024 - 1 paper accepted to #RAL - 1 paper accepted to #ICML2024 - 1 paper accepted to #RSS2024 80% of these paper were authored by undergrad visitors last summer, who will go to the best PhD programs this Fall (Harvard, MIT, Princeton, Stanford etc.)! I cannot be more fortunate to have worked with them! Their commitment, rigor, wisdom are all beyond their age. https://lnkd.in/e-PWdRDa

In 2020, during a COVID-19 pandemy at the Department of Computer Science of VNTU, students and I assembled a robot to measure body temperature and conducted experiments on students. Then robot was performed as a part of the implementation and development of the BioArt project related to COVID-19 quarantine("Innovative Multidisciplinary Curriculum in Artificial Implants for Bio-Engineering Bachelor Science/Master Science Degrees"). After that robot took part in the "Smart City" robotics hackathon. Also robot won the first special prize from MobileSoft Solutions SRL International Student Contest "Microelectronic Systems Engineering - Sergiu Radautan". Now I can say that we have recorded this robot in history. Having finalized the mathematical model of the temperature sensor used in it, we published an article in a scientific journal: https://lnkd.in/dZ8au45R Thanks to Viacheslav Kovtun from the Institute of Theoretical and Applied Informatics Polish Academy of Sciences for his help in publishing in a scientific journal of such a high level. #MDPIOpenAccess #science #computerscience #robotics #mobileroboticsystems #innovations #sensors #measurements #mathematicalmodel

Follow along with our lab page to find out more about what our research aims to do!

📣 Exciting News: Our Latest Research Paper Published in RA-L We're thrilled to announce that our recent paper "Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects" has been published in the IEEE Robotics and Automation Letters (RA-L)! 🔗 https://lnkd.in/dne-GSEG 💡 Key Highlights: Movement Primitive Diffusion (MPD) combines the versatility of diffusion-based imitation learning with the high motion quality of Probabilistic Dynamic Movement Primitives (ProDMPs) for gentle manipulation of deformable objects. Through experiments in the real world and in simulation, we show that MPD is data efficient, can learn complex motions for grasping and manipulating deformable objects, and works end-to-end from raw image observations to smooth end-effector trajectories with guaranteed initial conditions. 🎓 Collaboration: This work is the result of collaborative efforts between the Department of Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nürnberg and the Institute for Anthropomatics and Robotics at the Karlsruhe Institute of Technology. Thank you Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich FAU Erlangen-Nürnberg Karlsruhe Institute of Technology (KIT) Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU IEEE SOFA Framework #robotics #imitationlearning #RAMIS #diffusion #diffusionpolicy #generativeAI #LapGym #SOFA

🎙 Unveiling the Third Speaker of Section Student Congress'24 🎙 We are excited to present Mr. Uma Desu, a GENAI educator, who will shed light on:   "How Semiconductors Are Powering AI Evolution: From Blackwell to Quantum Robotics." 🚀 Session Overview: Prepare to explore the cutting-edge intersection of AI, semiconductors, and robotics! Blackwell—a revolutionary chip that is four times faster than any existing AI supercomputing chips—will be one of the key highlights of this session. Mr. Uma Desu will take us through how advanced semiconductor technologies are driving the future of AI. This talk will also dive into quantum robotics, an interdisciplinary field combining quantum mechanics and robotics to unlock new possibilities. You’ll discover how semiconductors act as the backbone of this field. Expect to learn how these emerging technologies will shape future innovations and equip you with the knowledge needed to stand out in this evolving landscape. 📅 Date: 19th October 2024   📍 Venue: Tagore Auditorium, Osmania University  If you're looking to stay ahead of the curve in AI, robotics, and quantum technologies, this session will offer insights you can’t afford to miss. #IEEE #IEEEHyderabadSection #StudentActivitiesCommittee #SSC'24 #40yrsofIEEEHyderabadSection

✍️🤓Gvirsman, O. and Gordon, G., Investigating Causality in Parent-Toddler-Robot Interaction. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24) https://lnkd.in/dRmCDSgz Human robot interaction is often a very dynamic scenario, where both robots and humans perform verbal and non-verbal behaviors in response to each other. Here, we present a novel methodology of a multi-participants, multi-dimensional, time-series Granger-causality analysis of a parent-toddler-robot triadic interaction. Our results show a specific causal flow of behaviors, namely, that the parent mediates the toddler-robot interaction by both verbal and non-verbal behaviors. Our proposed novel analysis can highly enrich understanding of the complex dynamics of human robot interaction. Omer Gvirsman, Goren Gordon The Faculty of Engineering Tel Aviv University Tel Aviv University #HigherEducation #AcademicWriting #HRI #humanrobotinteraction

A man who lost both arms 40 years ago but defied the odds with mind-controlled bionic arms! Les Baugh made history a decade ago at Johns Hopkins University Applied Physics Laboratory (APL) by becoming the first person to control two artificial arms just by thinking about moving them. His story is not just about overcoming adversity but also about the power of technology to transform lives. - Les Baugh lost both arms in an accident 40 years ago. - He controlled two artificial arms using just his thoughts. - This breakthrough happened at Johns Hopkins University Applied Physics Laboratory (APL). - Baugh's story is inspiring and shows the potential of technology to help people with disabilities. - It highlights the importance of teamwork and innovation in improving lives. #ai #tech #robotics #prosthetics #innovation

🎉Officially Published🎉 I am thrilled to announce that our paper on Acoustic Soft Robotic Proprioception has been accepted into the IEEE International Conference on Robotics and Automation in PACIFICO Yokohama, Japan! This marks a significant milestone in my academic journey as I am now a published author, credited as the second author. This accomplishment was achieved during my time at Carnegie Mellon as a Robotics Institute Summer Scholar (RISS) in the Summer of 2023. The experience was nothing short of transformative, allowing me to delve deep into the world of robotics and contribute meaningfully to the field. I extend my deepest gratitude to Uksang Yoo, a PhD graduate student, for his invaluable guidance and insights that greatly influenced the direction of our project. His mentorship was pivotal in navigating the complex landscape of robotics research. A special thanks to my mentor, Professor Jean Oh, for welcoming me into the Bot Intelligence Group. Her faith in my abilities provided me with the opportunity to contribute to groundbreaking work in robotics. I also want to acknowledge Rachel Burcin and John Dolan for their instrumental roles in organizing the RISS program. Their dedication to providing resources and support to all RISS students, including myself, has been remarkable. Our paper focuses on developing a soft robot capable of utilizing acoustic signals to estimate its shape. I had the opportunity to design and create molds for the silicone soft robot, assemble it, and integrate the servo motors for actuation. A unique aspect of my contribution was modifying and creating PCBs to embed 6 microphones and a speaker within the robot. Furthermore, I developed Python scripts to actuate the robot in over 200 positions for 3D imaging, enabling it to use acoustic signals recorded during training to estimate its position. Read our paper here: https://lnkd.in/eEV8CWQg Read more about my work here: https://lnkd.in/ecibUFvU This journey has been incredibly rewarding, and I am eager to explore what the future holds in the realm of robotics! #Robotics #IEEEConference #CarnegieMellon #RISS #Innovation #Research #AcademicPublishing #RoboticsEngineering

🚨 Call for IEEE RO-MAN 2024 Workshop Papers 🚨 🤖 2nd International Workshop Weighing the Benefits of Autonomous Robot persoNalisation (WARN) 🤖 Where? Pasadena, California, USA & Online! When? August 26th, Time TBA We are excited to announce the workshop WARN at RO-MAN 2024. We welcome contributions that elaborate on the benefits and concerns that may arise with #robot #personalisation! The workshop will be held in a hybrid mode to engage the entire community in #HRI. We strongly encourage multidisciplinary discussion and invite researchers from various disciplines, including engineering, computer science, social science, psychology, philosophy, and law. The workshop programme will be structured around thematic panel sessions in which various experts will share their perspectives on personalisation's benefits, risks, goals and challenges. 📢 Important Dates 📢 Submission deadline: July 1st 2024 Notification of acceptance: July 15th 2024 Final submission: August 16th 2024 Organisers: Francesco Vigni - Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II II Antonio Andriella - @Artificial Intelligence Research Institute (IIIA-CSIC) Alyssa Kubota - San Francisco State University Andrea Rezzani - Libera Università di Bolzano Facoltà di Ingegneria Jauwairia Nasir - Universität Augsburg  @Silvia Rossi - Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II Visit our website for more details: https://warn-ws.github.io/