PhD Thesis

My PhD work focuses on generalized, context-aware actions for autonomous robots in real-world household environments. The research centers on actions such as cutting, pouring, transporting, and mixing, where robots must adapt to changing scenes, task context, and domain knowledge.

The goal is to build action models that use scene graphs, symbolic reasoning, action cores, and scalable cognitive models so robots can perform multi-step, context-dependent tasks with greater flexibility and autonomy.

This work connects to broader research in household robotics, actionable knowledge, task planning, and RoboCup@Home.