Manish Singh

Human Media

Papers

1

Total Citations

62

H-Index

1

About

Manish Singh is a leading researcher at the intersection of robotics, wireless sensing, and backscatter communication. His work focuses on enabling fine-grained, low-power localization for robotic systems, a critical challenge for autonomous navigation and interaction in complex environments. Singh’s major contribution lies in pioneering 3D backscatter localization techniques, which allow robots to precisely determine their position using ultra-low-power, battery-free tags. His seminal master’s thesis, "3D Backscatter Localization for Fine-Grained Robotics" (2019), has garnered over 62 citations, establishing a foundational framework for integrating passive wireless sensing with robotic perception. This work demonstrates how backscatter signals can be leveraged for centimeter-level accuracy, significantly reducing energy consumption compared to traditional active localization methods. Singh’s research has profound implications for swarm robotics, warehouse automation, and environmental monitoring, where long-lasting, untethered operation is essential. By merging wireless communication theory with practical robotic design, he has opened new pathways for scalable, energy-efficient autonomy. His contributions continue to inspire innovations in ubiquitous computing and cyber-physical systems, marking him as a rising authority in low-power robotic sensing.

Research Focus

Key Achievements

1
H-Index
1
Papers
62
Total Citations
62
Avg Citations/Paper
🏆 Most Cited Paper
3D Backscatter Localization for Fine-Grained Robotics
62 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Human Media

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago