Lyubomira Miteva
Papers
13
Total Citations
45
H-Index
4
About
Lyubomira Miteva is a robotics researcher whose work focuses on the control, planning, and dynamics of robotic manipulators—particularly redundant systems with constrained joint spaces. Her major contributions lie in developing trajectory planning and iterative learning control methods that enable robots to operate precisely under physical limitations, such as joint limits and obstacles. She has also introduced a novel graph-oriented model for robot arm dynamics, offering a fresh perspective on an otherwise complex problem. With over 40 citations across her most-cited papers, her research has practical implications for service robotics, including a notable study on the tele-controlled "ROBCO 17" robot designed to improve quality of life for elderly and disabled individuals. Miteva’s work on the walking robot "Big Foot" further demonstrates her versatility, addressing sensory-motor control for legged locomotion. Her development of a hardware-software infrastructure for intelligent control accelerates algorithm testing, bridging simulation and real-world application. Through these efforts, Miteva advances the reliability and adaptability of robotic systems in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1
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- 3A Novel, Oriented to Graphs Model of Robot Arm Dynamics5 citations · 2021
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- 6Iterative Learning Control of Hard Constrained Robotic Manipulators3 citations · 2020
- 7Manipulability Analysis of Redundant Robotic Manipulator3 citations · 2020
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- 9Payload-adaptive iterative learning control for robotic manipulators2 citations · 2022
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