Angela Mazzeo
Papers
6
Total Citations
104
H-Index
4
About
Angela Mazzeo is a roboticist advancing human-robot interaction and marine exploration, with her work bridging deep-sea manipulation and collaborative robotics. Her research focuses on two key areas: developing dexterous robotic systems for collecting delicate deep-sea biological specimens, and enabling seamless, adaptive robot-to-human handovers in dynamic environments. In marine robotics, her systematic review of underwater grippers (63 citations) and taxonomy of manipulative actions (13 citations) have established foundational frameworks for improving scientific sampling procedures with ROVs, addressing the critical challenge of handling fragile organisms with industrial tools. On the collaborative side, Mazzeo has pioneered reactive handover strategies using Dynamic Movement Primitives and Preference Learning, with her 2023 DMP-based handover paper (16 citations) demonstrating how robots can adapt to human motion and perturbations in real-time. Her work on the ANA Avatar XPRIZE platform (2024) extends this to social telepresence, enabling full perception of physical interaction for remote presence. With additional contributions in bimanual teleoperation safety through CollisionIK, Mazzeo’s research—garnering over 100 citations—is shaping the future of robots that can both explore the ocean depths and work safely alongside humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2DMP-Based Reactive Robot-to-Human Handover in Perturbed Scenarios16 citations · 2023
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- 5Adaptive Robot-Human Handovers With Preference Learning4 citations · 2023
- 6