Now showing items 166-168 of 23243

    • Generalizable Long-Horizon Robotic Manipulation under Uncertainty and Partial Observability 

      Curtis, Aidan (Massachusetts Institute of Technology, 2025-05)
      A central goal in embodied artificial intelligence is to enable autonomous agents to accomplish complex, long-horizon tasks in novel, partially observable environments. In these scenarios, agents must effectively reason ...
    • Adaptive Abstractions for Robust Hierarchical Manipulation Planning 

      Noseworthy, Michael S. (Massachusetts Institute of Technology, 2025-05)
      In this thesis, we address the problem of long-horizon robotic manipulation under partial observability. Tasks such as gearbox assembly or tidying a workstation involve many objects and necessitate a variety of manipulation ...
    • Methods for Generalization Under Distribution Shift 

      Netanyahu, Aviv (Massachusetts Institute of Technology, 2025-05)
      Machine learning systems have achieved remarkable performance in tasks where test data closely resembles the training distribution. However, real-world applications often require systems capable of handling more challenging ...