Papers
33
Total Citations
719
H-Index
13
About
Jonathan Cacace is a robotics researcher whose work spans aerial manipulation, human-robot interaction, and autonomous systems for real-world applications. His research has made significant contributions to the control of unmanned aerial vehicles (UAVs), particularly in developing sophisticated frameworks that bridge autonomous operation and human oversight. Cacace's most influential work, "Hybrid Visual Servoing With Hierarchical Task Composition for Aerial Manipulation" (2015, 136 citations), established a landmark framework combining visual control with hierarchical task composition for UAVs equipped with robotic arms — a technically demanding challenge at the frontier of aerial robotics. His parallel investigations into search and rescue missions produced widely adopted architectures enabling a single operator to coordinate multiple drones through intuitive multimodal interaction, with related papers accumulating nearly 200 additional citations. Beyond aerial systems, Cacace has contributed meaningfully to nonprehensile manipulation — controlling objects without firm grasping — including work on deformable object handling through the RoDyMan project and shared-control teleoperation architectures. His more recent research explores physical human-robot collaboration and power line maintenance using aerial platforms within the AERIAL-CORE initiative. Collectively, his portfolio reflects a consistent commitment to making complex robotic systems safer, more accessible, and practically deployable in high-stakes environments.
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