Run Peng is a PhD student at the University of Michigan. His current research focuses on bridging the gap between humans and AI agents. In particular, his research focuses on situated communication and collaboration, aiming to enable AI agents to understand the world as humans do, thereby facilitating seamless interaction with the world as well as humans.

Interests
  • Agent Modeling
  • Situated Collaboration
Education
  • Ph.D. in Computer Science and Engineering, 2028 (expected)

    University of Michigan

  • M.S. in Computer Science and Engineering, 2024

    University of Michigan

  • B.S. in Computer Science, 2022

    University of Michigan

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