Pratik Agarwal
Papers
9
Total Citations
529
H-Index
7
About
Pratik Agarwal is a robotics researcher whose work spans robust robot mapping, metric localization, and assistive navigation technologies. He is perhaps best known for his influential research on robust simultaneous localization and mapping (SLAM), particularly his development of inference on networks of mixtures — a framework designed to help robots build reliable maps even in the presence of erroneous loop closures. This work, published in 2012 and 2013, has accumulated over 300 citations combined, establishing Agarwal as a significant voice in the SLAM community. His 2014 survey bridging classical geodetic mapping methods with modern graph-based SLAM demonstrated a rare historical perspective on the field, connecting century-old surveying techniques to contemporary robotics problems. Beyond mapping, Agarwal has made meaningful contributions to assistive robotics, developing smart walker systems that help blind individuals with walking impairments navigate complex, unfamiliar environments — research that has garnered considerable attention with over 120 citations across related publications. His 2015 work on metric localization using Google Street View panoramas offered a practical, infrastructure-free approach to global robot positioning. Together, these contributions reflect a researcher committed to making autonomous systems both reliable and socially beneficial.
Research Focus
Key Achievements
Top Papers
- 1Inference on networks of mixtures for robust robot mapping246 citations · 2013
- 2Navigating blind people with walking impairments using a smart walker85 citations · 2016
- 3Metric localization using Google Street View65 citations · 2015
- 4Inference on networks of mixtures for robust robot mapping57 citations · 2012
- 5Navigating blind people with a smart walker39 citations · 2015
- 6
- 7Metric Localization using Google Street View9 citations · 2015
- 8Inference on Networks of Mixtures for Robust Robot Mapping5 citations · 2013
- 9