Robot Learning


  1. Fly-by-Code: Embodied Coding Agents for Aerial Manipulation with Active Visual and Physical Feedback
    J. Lee*, J. Seo*, S. Cho*, G. Choe, Y. Wang, B. Saravanan, J.-B. Huang, F. Huang, S. Scherer, G. Shi, H. J. Kim, S. Lee†, and D. Lee†
    arXiv preprint, 2026
  2. AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy Learning
    Y. Wang*, D. Lee*, X. Guo*, Y. Zhan, Y. Jiang, B. Saravanan, M. Cao, J. Xie, C. Mao, S. Scherer, J. Geng, and G. Shi
    In 2026 Conference on Robot Learning (CoRL), 2026
  3. UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies
    H. Gupta, X. Guo, H. Ha, C. Pan, M. Cao, D. Lee, S. Scherer, S. Song, and G. Shi
    In 2026 IEEE International Conference on Robotics and Automation (ICRA), 2026