Charles A. DiBerardino

Papers

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About

Charles A. DiBerardino is a leading researcher in autonomous robotics, with a focus on perception systems, simulation, and collaborative technology architectures. His most cited work, "Integration and demonstration of MEMS-scanned LADAR for robotic navigation" (2014, 17 citations), addresses critical size, weight, power, and cost constraints in LADAR systems for small ground robots, advancing autonomous vehicle navigation. He also contributed to "Simulation tools for robotics research and assessment" (2016, 8 citations), which supports the Robotics Collaborative Technology Alliance (RCTA) by enabling progress evaluation across perception, intelligence, human-robot interaction, and dexterous manipulation. Additionally, his work on "Robotic collaborative technology alliance: an open architecture approach to integrated research" (2014, 4 citations) promotes adaptive, cognitive robot capabilities beyond traditional algorithms. DiBerardino’s contributions are pivotal in bridging practical sensor limitations and scalable simulation frameworks, directly impacting the development of more capable, efficient autonomous systems for defense and civilian applications. His research at the Army Research Laboratory underscores his role in advancing robotic navigation and collaborative intelligence.