Alice Predescu

Papers

Total Citations

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About

Alice Predescu’s research focuses on robotics, control systems, and remote learning environments, with a particular emphasis on hyper-redundant manipulators and mobile robot navigation. Her most cited work, “Remote learning environment for visual based robot navigation” (2008, 7 citations), introduces a Web-based remote laboratory that enables students to experiment with navigation algorithms on an internet-connected mobile robot, bridging the gap between theoretical control and hands-on practice. Predescu’s major contributions include pioneering control strategies for hyper-redundant robots, such as tentacle-like arms with continuous, bending backbones. In “Control of a hyper-redundant robot” (2010, 6 citations), she addresses visual control for these flexible manipulators, which can achieve theoretically unlimited positions and orientations. Her follow-up work, “3D Control for a Tronconic Tentacle” (2010, 3 citations), advances simulation and implementation for tronconic (cone-shaped) tentacle arms, tackling the complex challenge of variable-length, continuous backbone control. While her citation counts are modest, Predescu’s research is notable for its educational impact—democratizing access to robotics experimentation—and its foundational work in biologically inspired, hyper-redundant robot control. Her contributions offer valuable insights for students and researchers exploring flexible manipulators and remote experimentation in robotics.