Rie Abe
Papers
1
Total Citations
8
H-Index
1
About
Rie Abe is a robotics researcher whose work centers on the control of robotic manipulators, with a particular focus on enhancing precision and robustness under real-world constraints. Her most notable contribution, the 2015 paper "Control of a two-link manipulator using disturbance observer-based model predictive control," tackles the critical challenge of position and path-tracking in robot arms subject to strict limitations on both the magnitude and rate of change of control inputs. By integrating a disturbance observer (DOB) with model predictive control (MPC), Abe developed a framework that effectively compensates for external disturbances while "nominalizing" the plant—essentially making the system behave as if no disturbances were present. This approach allows for more reliable and accurate manipulation in environments where safety and performance are paramount. Though her citation count is modest, with 8 citations for this key work, the conceptual synthesis of DOB and MPC represents a practical step forward in constrained robotic control. Abe’s research is particularly relevant for students and engineers working on industrial robotics, autonomous systems, or any application requiring precise motion control under uncertainty.
Research Focus
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Top Papers
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