Papers
2
Total Citations
9
H-Index
2
About
Dr. Singh’s research bridges the gap between biological inspiration and practical robotics, with a focus on human-robot interaction and motor control systems. His most notable work, “Animal-inspired human-robot interaction: A robotic tail for communicating state” (2012, 6 citations), introduces a novel approach to non-verbal communication in robots by mimicking animal tail movements, offering a more intuitive way for robots to convey their internal states to humans. This contribution stands out for its creativity and potential to enhance collaborative robotics. Earlier, Singh laid foundational groundwork in “DC Motor Control Predictive Models” (2006, 3 citations), where he developed a mathematical framework to optimize key parameters—such as duty cycle, terminal voltage, and load—for precise speed and position control in DC motors, a critical component in vehicles and robotic systems. While his citation counts reflect a niche but focused impact, his work demonstrates a unique ability to synthesize interdisciplinary ideas, from animal behavior to control theory. Singh’s research is particularly valuable for students and engineers exploring bio-inspired design and efficient motor control, offering both conceptual innovation and practical modeling tools.
Research Focus
Key Achievements
Top Papers
- 1
- 2DC Motor Control Predictive Models3 citations · 2006