Learning from Demonstration for Robotic Nuclear Waste Management: A DMP-Based Approach

  • Hamza Muzammal
  • , Joong Ku Lee
  • , Young Soo Park
  • , Hyeonseok Choi
  • , Jeehwan Ryu
  • , Venugopal Varma

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)1171-1174
Number of pages4
JournalTransactions of the American Nuclear Society
Volume132
Issue number1
DOIs
StatePublished - 2025
EventANS Annual Conference, 2025 - Chicago, United States
Duration: Jun 15 2025Jun 18 2025

Funding

This work is supported by the U.S. Department of Energy, Office of Environment Management, Office of Technology Development. This manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). The test operation was performed in collaboration with Oak Ridge National Laboratory and United Cleanup Oak Ridge. Argonne is a U.S. Department of Energy Office of Science laboratory

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