M. D. Narayanan
Papers
1
Total Citations
3
H-Index
1
About
M. D. Narayanan is a robotics researcher whose work focuses on human-robot interaction and sensor-based autonomous systems. His most cited paper, "RGB-D sensor based human detection and tracking using an armed robotic system" (2014), presents a pioneering prototype that integrates Microsoft Kinect depth sensing with a military robot for real-time human detection and static aiming. This contribution demonstrates early applications of affordable RGB-D sensors in defense robotics, bridging computer vision and mechatronics. With 3 citations, the work has influenced subsequent studies in human tracking and robotic targeting systems. Narayanan’s research addresses critical challenges in autonomous surveillance and human-robot collaboration, particularly in constrained operational modes. His achievements include advancing the use of consumer-grade depth cameras for precise human detection, a concept now widely adopted in assistive and security robotics. For students and researchers, Narayanan’s work offers a foundational example of how low-cost sensors can be repurposed for complex robotic tasks, highlighting the intersection of hardware innovation and algorithmic efficiency in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1