Mayank Singh
Papers
1
Total Citations
139
H-Index
1
About
Mayank Singh is a leading researcher in robotics and cloud-based perception systems, with a focus on real-time 3D mapping and multi-robot collaboration. His most influential work, "Cloud-Based Collaborative 3D Mapping in Real-Time With Low-Cost Robots" (2015, 139 citations), introduces a groundbreaking architecture that enables low-cost robots—using only smartphone-class processors—to perform dense visual odometry and offload key-frames to the cloud for parallel optimization. This contribution significantly advances the feasibility of scalable, affordable robotic swarms for exploration and mapping. Singh’s research bridges the gap between edge computing and cloud infrastructure, demonstrating how distributed algorithms can overcome hardware limitations. His work has been widely cited by researchers in field robotics, SLAM, and cloud robotics, reflecting its impact on both theoretical and applied domains. By democratizing access to sophisticated mapping capabilities, Singh’s contributions empower a new generation of low-cost, collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Cloud-Based Collaborative 3D Mapping in Real-Time With Low-Cost Robots139 citations · 2015