Papers
8
Total Citations
99
H-Index
5
About
Ramanpreet Singh is a researcher whose work bridges the frontiers of robotics, assistive technology, and bio-inspired algorithms. His primary research areas include gait rehabilitation, humanoid robotics, and odor source localization. Singh’s most significant contribution is a novel gait-based synthesis procedure for designing 4-bar exoskeletons that replicate natural walking trajectories, a paper with 31 citations that addresses gait disorders through robotic assistance. He has also advanced human-robot interaction by developing a Caster Walker GAIT Trainer (CGT), a robotic assistive device for mobility support, and by applying Generative Adversarial Networks (GANs) for footstep planning in humanoid robots. In the domain of environmental sensing, Singh introduced hybrid nature-inspired algorithms for single and multiple odor source localization, earning 22 citations. His work extends to rehabilitation, with a recent design and evaluation of an exoskeleton for index finger recovery using nature-inspired algorithms. With a total of over 90 citations across his publications, Singh’s research demonstrates a clear impact on both theoretical algorithm development and practical device design, making him a notable contributor to the fields of biomechatronics and intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 4Caster Walker GAIT Trainer (CGT): A robotic assistive device12 citations · 2022
- 5Sagittal Position Analysis of Gait Cycle for a Five Link Biped Robot6 citations · 2016
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- 7Modified Simple Chemical Plume Tracing Algorithm2 citations · 2020
- 8A review of design mechanisms used for knee rehabilitation devices2 citations · 2022