Papers
12
Total Citations
143
H-Index
7
About
Ibrahim A. Seleem is a leading researcher in continuum robotics, with a focus on motion planning, control, and imitation learning for flexible manipulators. His major contributions center on developing demonstration-guided and imitation-based approaches to solve the complex trajectory planning challenges posed by highly redundant, compliant continuum robots operating in confined and unstructured environments—such as those found in medical applications and industrial inspection. His work integrates robot dynamics, stability analysis, and nonlinear model predictive control to enable autonomous, human-like motion. With his most cited paper, a 2023 review on actuation mechanisms for continuum robots, garnering 38 citations, and multiple papers accumulating over 20 citations each, his research has significantly advanced the field. Notably, he has also contributed to bipedal robotics, developing sliding mode control and cyclic gait planning for underactuated robots using real human motion data. His innovative fusion of learning from demonstration with rigorous control theory positions him as a key figure in making continuum robots practical for real-world, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Recent Developments of Actuation Mechanisms for Continuum Robots: A Review38 citations · 2023
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- 5Motion Planning for Continuum Robots: A Learning from Demonstration Approach12 citations · 2018
- 6Tendon-driven based extensible soft robot with variable stiffness8 citations · 2025
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