Matanya B. Horowitz

Papers

Total Citations

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About

Matanya B. Horowitz is a leading researcher in robotics and autonomous systems, with a primary focus on dexterous manipulation and stochastic optimal control. His work addresses the fundamental challenge of enabling robots to perform human-level manipulation tasks in uncertain, real-world environments. Horowitz’s major contributions include pioneering methods for interactive non-prehensile manipulation, where robots use pushing and sliding—not just grasping—to handle poorly observable objects. His 2013 paper on this topic, which has garnered 29 citations, introduced a novel grasp planning approach that accounts for potential collisions and sensor uncertainty, significantly advancing the field of robotic manipulation. Additionally, his 2013 work on model-based autonomous systems for dexterous tasks (18 citations) demonstrates how robots can achieve human-like precision through integrated sensing and control. Horowitz has also made theoretical strides in stochastic optimal control, developing efficient solutions to the Hamilton-Jacobi-Bellman equation, a cornerstone of optimal control theory. His research bridges theory and practice, offering scalable algorithms that enable robots to operate robustly under uncertainty. With a citation count reflecting growing influence, Horowitz’s work is essential reading for researchers and students interested in autonomous manipulation, POMDPs, and real-world robotic dexterity.