Ikechukwu Daniel Adebi

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I am a third-year Ph.D. student in Computer Science at the University of Texas at Austin, currently working under Prof. Kristen Grauman in the UT Austin Computer Vision Group. My research interests broadly lie at the intersection of robotics, computer vision, representation learning, and reinforcement learning for the purposes of improving long-term task planning and autonomy. Currently, my research focuses on utilizing audio to assist vision models in camera pose estimation.

Previously, I received my bachelor’s and master’s degrees from the Massachusetts Institute of Technology studying Computer Science with a focus on Artificial Intelligence.

News

May 27, 2025 Started internship at UT Southwestern Medical Center as a research assistant under Prof. Yang Xie and Prof. Wenqi Shi.
Sep 25, 2024 AMAGO-2 got accepted by NeurIPS (Poster Presentation)!
May 22, 2023 Started internship at IBM Research this summer in Yorktown Heights, NY.
Apr 22, 2023 I was selected to be a GEM Fellow!

Selected Publications

  1. amago2.png
    AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
    Jake Grisby, Justin Sasek*, Samyak Parajuli*, Daniel Adebi*, Amy Zhang, and Yuke Zhu
    Conference on Neural Information Processing Systems (NeurIPS), Nov 2024