Vince Kurtz

Papers

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About

Vince Kurtz is a robotics researcher whose work pushes the boundaries of dexterous manipulation, a field that seeks to give robots the fine motor skills of human hands. His most-cited paper, "DROP: Dexterous Reorientation via Online Planning" (2025), tackles the core challenge of planning and control for contact-rich systems—a notoriously difficult problem in robotics. Rather than relying solely on offline reinforcement learning with massive simulations, Kurtz's approach integrates online planning to achieve more human-like dexterity. This work has already garnered 3 citations in its early days, signaling its potential impact on the field. Kurtz's research sits at the intersection of reinforcement learning, motion planning, and contact-rich manipulation, aiming to make robots capable of tasks like reorienting objects with the same fluidity as a human hand. For students and researchers, his work offers a compelling glimpse into how online planning can complement data-driven methods, potentially reducing the need for massive computational resources while improving real-world adaptability.