Karameldeen Omer
Papers
8
Total Citations
52
H-Index
4
About
Karameldeen Omer is a leading researcher at the intersection of human-robot interaction (HRI), brain-computer interfaces (BCIs), and autonomous mobile robotics. His work centers on developing human-in-the-loop control systems that enhance robot navigation safety and adaptability, particularly for assistive technologies supporting individuals with disabilities in their Activities of Daily Living (ADL). Omer’s major contributions include pioneering non-invasive EEG-based methods that allow users to provide real-time feedback to mobile robots, enabling obstacle detection and avoidance even when sensors fail—a critical advancement for safety-critical environments. His most cited work, “A human-in-the-loop approach for enhancing mobile robot navigation in presence of obstacles not detected by the sensory set” (15 citations), demonstrates this paradigm. He has also advanced mental fatigue evaluation for BCI-controlled wheelchairs and introduced semantic-enhanced path planning using digital twin data for heterogeneous robot teams. With over 50 total citations across his publications, Omer’s research bridges cognitive neuroscience and practical robotics, offering scalable solutions for smart homes, factories, and ambient assisted living spaces.
Research Focus
Key Achievements
Top Papers
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- 2Human-in-the-Loop Approach for Enhanced Mobile Robot Navigation12 citations · 2022
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