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<!DOCTYPE html>
<html lang="en" xml:lang="en">
<head>
<title>2025 Workshop Robotic Musician</title>
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<h1 class="major">Robotic Musician</h1>
<p>A workshop exploring the robotic technologies to play musical instruments.</p>
<p>Time and Location: TBD</p>
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<section>
<h2>Workshop Summary</h2>
<p>
This workshop will explore the technologies that can enable robots to play musical
instruments. Virtuosity of musical instruments is considered one of the most challenging and
elevated forms of human expression. Despite decades of progress in robotics technology,
today's robots are still not ready to play musical instruments at the same level as
professional musicians. Playing musical instruments requires coordination of movement and
precise timing with appropriate amounts of forces. For different instruments, different body
parts are required, such as hands, mouth, or feet. The robots must possess fine motor skills
coupled with advanced intelligence and can integrate multimodal sensing, real-time response,
and correctly articulating musical notes. This workshop will provide a snapshot of the state
of the art in robotic technologies for playing musical instruments. The workshop will
feature invited speakers that are recognized experts in this field. The authors of selected
papers will present their recent work. A panel discussion will explore research directions
for the community. The workshop will conclude with a poster session and demonstrations.
</p>
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<h2>Organizers</h2>
<p>
<a href="https://yhlu.net/">Yung-Hsiang Lu</a> is a professor in the Elmore Family
School of Electrical and Computer Engineering at Purdue University. He is a fellow of
the IEEE and distinguished scientist of the ACM. He has published papers on topics about
computer vision and machine learning in venues such as AI Magazine, Nature Machine
Learning, and Computer. He is one of the editors of the book "Low-Power Computer Vision:
Improve the Efficiency of Artificial Intelligence" (ISBN 9780367744700, 2022 by Chapman
& Hall).
</p>
<p>
<a href="https://kristenyeonjiyun.com/">Kristen Yeon-Ji Yun</a>
is a clinical associate professor in the Department of Music in the Patti and Rusty
Rueff School of Design, Art, and Performance at Purdue University. She is the Principal
Investigator of a research project "Artificial Intelligence Technology for Future Music
Performers" (US National Science Foundation, IIS 2326198). She is an active soloist,
chamber musician, musical scholar, and clinician. has toured many countries including
Malaysia, Thailand, Germany, Mexico, Japan, China, Hong-Kong, Spain, France, Italy,
Taiwan, and South Korea giving a series of successful concerts and master classes.
</p>
<p>
<a ref="https://hajim.rochester.edu/ece/sites/zduan/">Zhiyao Duan </a>is the President
of the International Society for Music Information Retrieval (ISMIR), and a member of
the Audio and Acoustic Signal Processing (AASP) technical committee of the IEEE Signal
Processing Society. He co-organizes the inaugural Singing Voice Deepfake Detection
(SVDD) Challenge at the IEEE Workshop on Spoken Language Technology (SLT) and ISMIR in
2024. He served as a scientific program co-chair of the ISMIR conference in 2021 and the
publications chair in 2017. He served as the chair of the North East Music Informatics
Special Interest Group (NEMISIG) workshop in 2017, and session chairs in ISMIR, ICASSP
and Interspeech. He is a senior area editor of IEEE Signal Processing Letters and an
associate editor of IEEE Open Journal of Signal Processing. He was a guest editor of
Transactions of International Society for Music Information Retrieval (TISMIR).
</p>
<p>
<a href="https://engineering.uga.edu/team_member/guoyu-lu/">Guoyu Lu</a>
is an Assistant Professor in the School of Electrical and Computer Engineering at
University of Georgia. Before joining UGA, he was an assistant professor at Rochester
Institute of Technology, a research scientist on autonomous driving at Ford, and
computer vision engineer at Disney ESPN Advanced Technology Group. Guoyu Lu finished his
PhD and MS at University of Delaware. Before studying at UD, he was enrolled in the
European Master in Informatics (EuMI) Erasmus Mundus program. Lu obtained his master
degree in Computer Science at University of Trento, and earned a master degree in Media
Informatics at RWTH Aachen University. Lu also took an appointment as a visiting scholar
at Auckland University of Technology, and was a research intern at Siemens Corporate
Research in Princeton and Bosch Research in Palo Alto. Lu earned his B.S. in Software
Engineering at Nanjing University of Posts & Telecommunications, with a minor in
Business Administration and Management. Guoyu Lu has been PI for projects funded by NSF
(CSSI, CRII, Core SHF), USDA, Ford, GM, Qualcomm, Tencent, Mackinac, etc. Guoyu Lu
received the USDA New Investigator Award, Ford URP Award, Tencent Rhino-bird Young
Faculty Award, Frank A. Pehrson Award, and Erasmus Mundas Scholarship. Dr. Lu's research
interests are in computer vision, AI, deep / machine learning, robotics, multimedia, and
AI-based infrastructure systems.
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