Papers
43
Total Citations
2,704
H-Index
22
About
Hanumant Singh is a pioneering roboticist whose work sits at the intersection of autonomous underwater vehicles (AUVs), simultaneous localization and mapping (SLAM), and ocean exploration. Best known for his foundational contributions to underwater navigation and mapping, Singh developed the "Exactly Sparse Delayed-State Filter" framework — a breakthrough insight showing that SLAM information matrices are exactly sparse in delayed-state representations — work that has accumulated nearly 450 citations across two landmark 2006 papers. His vision-based SLAM algorithms, famously demonstrated through large-area mapping of the RMS Titanic, redefined what was possible for robotic navigation in challenging, low-overlap underwater environments. Beyond theoretical advances, Singh has driven practical innovation in Doppler-based underwater navigation, 3D optical seafloor reconstruction, self-consistent bathymetric mapping, and AUV-guided sensor network data collection. Perhaps most evocatively, his team conducted robotic archaeological surveys of an ancient shipwreck off the Greek island of Chios — a vivid demonstration of how autonomous systems can serve humanistic inquiry. With over 1,700 combined citations across his most influential works, Singh's research has profoundly shaped how robots perceive, navigate, and document the deep ocean.
Research Focus
Key Achievements
Top Papers
- 1Exactly Sparse Delayed-State Filters for View-Based SLAM298 citations · 2006
- 2
- 3Underwater Data Collection Using Robotic Sensor Networks198 citations · 2012
- 4Visually Navigating the RMS Titanic with SLAM Information Filters182 citations · 2005
- 5
- 6Advances in Doppler-based navigation of underwater robotic vehicles158 citations · 2003
- 7Exactly Sparse Delayed-State Filters147 citations · 2006
- 8
- 9Large Area 3-D Reconstructions From Underwater Optical Surveys111 citations · 2009
- 10A Self‐Consistent Bathymetric Mapping Algorithm106 citations · 2007