UR 2024

2024 21st International Conference on Ubiquitous Robots

New York, USA / June 24 - 27, 2024

NOTICE

• If you have not registered UR2024 yet and plan to make an onsite registration, you are recommended to fill out the registration form, here at least 7 days prior to your arrival in order to avoid unnecessary delay from the security check for the entry to the Kimmel Center (Conference venue).
• Download the Program Booklet here.

Welcome to the UR 2024 New York

The 21st International Conference on Ubiquitous Robots (UR 2024) will be held at the Kimmel Center for University Life in NYU, Manhattan, New York, USA, from June 24 to 27, 2024. Since its inception in 2004, Ubiquitous Robots has now established itself as a leading mid-size robotics conference, bringing together robotics researchers from around the world who share the vision that robots, smartphones, will become ubiquitous in our daily lives, and help connect and empower humans. Robotics is the ultimate interdisciplinary field, and Ubiquitous Robots invites contributions from the entire foundational spectrum—design, perception, manipulation, interfaces, mobility, intelligence—and application domains—industrial, social, transportation, medical, rehabilitation, healthcare, agriculture, construction, security, disaster, and many others. Ubiquitous Robots 2024 promises to be an exciting and innovative event, with invited talks, oral and poster presentations, workshops, and other new formats that will engage participants. We invite you to submit your latest work to Ubiquitous Robots 2024, and to come experience the myriad attractions of New York.

UR 2024 Updates

“Challenges and Opportunities in Robotics for Transcatheter and Endovascular Interventions”
Jaydev P. Desai
Georgia Institute of Technology, USA

“Tactile robots: building the machine and learning the self”
Sami Haddadin
Technische Universität München, Germany

“Motion intelligence for humanoid robots in the real world: the roles of bio-inspiration and computational methods “
Katja Mombaur
Karlsruhe Institute of Technology, Germany and University of Waterloo, Canada

“Contraction is All You Need in Robot Learning”
Soon-Jo Chung
California Institute of Technology, USA

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