Mohammed Jalal Ahamed
Papers
4
Total Citations
34
H-Index
3
About
Mohammed Jalal Ahamed is a researcher advancing the frontiers of robotics and sensor systems, with key contributions in autonomous navigation, human-robot interaction, and bio-inspired sensing. His work addresses critical challenges in how robots perceive and interact with their environments. Notably, his 2023 study on LiDAR-based robot navigation, which has garnered 16 citations, provides experimental analysis of how mirror-like objects disrupt sensor performance—a vital insight for deploying robots in modern glass-filled spaces. Ahamed also pioneers intuitive human-robot interfaces; his 2023 paper on learning from demonstrations using a wearable multi-sensor glove (9 citations) enables robots to replicate human motions, enhancing collaborative tasks. Drawing inspiration from nature, his 2019 binaural sonar system (6 citations) mimics bat echolocation to simultaneously sense distance and direction of obstacles, offering a low-cost alternative for acoustic navigation. Most recently, in 2025, he developed a triboelectric pressure sensor using microstructured PDMS for monitoring human gait patterns (3 citations), showcasing an innovative out-of-cleanroom fabrication method. Ahamed’s diverse portfolio—spanning sensor design, human-robot collaboration, and biomimetic systems—demonstrates a sustained impact on making robots more perceptive, adaptable, and accessible.
Research Focus
Key Achievements
Top Papers
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