Jonathan Sanabria

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About

Jonathan Sanabria is a roboticist whose research lies at the intersection of mobile manipulation, perception, and autonomous systems. His most-cited work, “Mobile Manipulation Leveraging Multiple Views” (2022), addresses the fundamental challenge of integrating navigation and manipulation—two traditionally separate domains—into a cohesive system. By combining novel navigation algorithms with shape completion techniques, Sanabria enables a mobile robot to perceive and manipulate objects from multiple viewpoints, significantly improving robustness in unstructured environments. This work, with 4 citations, lays a critical foundation for future research in embodied AI and service robotics. Sanabria’s contributions are particularly notable for their practical focus: rather than treating perception and action as isolated modules, he develops end-to-end solutions that allow robots to reason about their surroundings while physically interacting with them. His approach has implications for warehouse automation, assistive robotics, and disaster response, where mobility and dexterity must work in tandem. As an emerging researcher, Sanabria is helping to bridge the gap between static manipulation and dynamic navigation, pushing toward truly autonomous systems that can operate in the real world.