Shivam Goel

My research aims to advance AI and robotics for open-world environments, where novelty, uncertainty, and unstructured interactions are the norm. A central focus is force-space manipulation, grounding policies in physical interaction and object-centric representations to transfer across robot embodiments. By combining learning, planning, and structured object models, I build frameworks and algorithms that unify high-level reasoning with low-level control aiming toward autonomous robots that thrive in dynamic real-world settings.