Papers
7
Total Citations
86
H-Index
4
About
Humaira Nisar is a multidisciplinary researcher whose work sits at the dynamic intersection of robotics, computer vision, and human-machine interaction. Her research spans autonomous robot navigation, 3D imaging, and brain-computer interfaces, making significant contributions to how machines perceive, interpret, and respond to their environments. Nisar's most influential work explores mapless LiDAR-based navigation using deep imitation learning, enabling wheeled mobile robots to navigate complex environments without relying on pre-built global maps — a breakthrough that has garnered 33 citations. Her earlier contribution as editor of *Depth Map and 3D Imaging Applications* (2011, 26 citations) established her as a key voice in 3D vision algorithms and stereoscopic technologies across diverse domains. Her pioneering brain-computer interface research — particularly systems that translate EEG signals from facial expressions to control robotic prosthetic arms — highlights her commitment to assistive and rehabilitative technologies. Complementing this, her work on Monte Carlo Localization and ORB feature detection demonstrates practical innovation in real-time indoor robot navigation. With applications extending into agricultural automation, Nisar's research consistently bridges theoretical rigor with real-world impact, reflecting a career dedicated to making intelligent robotic systems more accessible, adaptive, and human-centered.
Research Focus
Key Achievements
Top Papers
- 1
- 2Depth Map and 3D Imaging Applications: Algorithms and Technologies26 citations · 2011
- 3Brain-computer interface: controlling a robotic arm using facial expressions12 citations · 2018
- 4
- 5Brain computer interface for operating a robot3 citations · 2013
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- 7