Jared Delinger

Papers

Total Citations

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About

Jared Delinger is a robotics researcher whose work focuses on the intuitive control of anthropomorphic robotic systems, particularly through the integration of motion capture technology. His most-cited paper, "Commanding an Anthropomorphic Robotic Hand with Motion Capture Data" (2019), presents a novel method for translating human hand movements captured by a marker-instrumented glove into precise joint-space commands for a five-fingered robotic hand. By detailing the kinematics and dynamics of the robotic hand and implementing joint-space control, Delinger’s work addresses a critical challenge in human-robot interaction: enabling seamless, natural teleoperation of dexterous manipulators. Though his citation count is modest, this foundational research contributes to the broader fields of robotic manipulation, prosthetics, and human-robot collaboration, offering a pathway for more responsive and lifelike robotic hands. Delinger’s contributions are particularly valuable for students and researchers exploring motion capture as a bridge between human intent and robotic action, highlighting the importance of kinematic modeling and control in advancing assistive and industrial robotics.