Paul Newman

About

Paul Newman is a pioneering roboticist whose work has fundamentally shaped the field of mobile robot autonomy, with particular expertise in simultaneous localization and mapping (SLAM), visual place recognition, and long-term robot navigation. His doctoral research at the University of Sydney laid critical theoretical foundations for the SLAM problem, work that has since garnered nearly 200 citations and influenced generations of researchers. Newman's landmark FAB-MAP system (2008), now with over 1,475 citations, revolutionized appearance-based place recognition by introducing a probabilistic framework enabling robots to distinguish familiar from previously unseen environments. His contributions span sensing modalities — from early sonar-based indoor mapping to sophisticated fusion of laser ranging and visual appearance for outdoor SLAM — demonstrating remarkable breadth. His co-authorship of the widely cited "Visual Place Recognition: A Survey" (2015, 1,071 citations) cemented his role as a defining voice in the field. Beyond technical contributions, Newman has engaged meaningfully with robot ethics, co-developing influential principles for responsible robotics. Through benchmark datasets, foundational algorithms, and ethical frameworks, his cumulative impact on autonomous systems research is both deep and enduring.

Research Focus

Key Achievements

Top Papers

1. 1
   FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance

   1,475 citations · 2008
2. 2
   Visual Place Recognition: A Survey

   1,071 citations · 2015
3. 3
   Robust Mapping and Localization in Indoor Environments Using Sonar Data

   529 citations · 2002
4. 4
   Outdoor SLAM using visual appearance and laser ranging

   314 citations · 2006
5. 5
   The New College Vision and Laser Data Set

   310 citations · 2009
6. 6
   Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework

   307 citations · 2004
7. 7
   Experience-based navigation for long-term localisation

   222 citations · 2013
8. 8
   Detecting Loop Closure with Scene Sequences

   211 citations · 2007
9. 9
   Principles of robotics: regulating robots in the real world

   193 citations · 2017
10. 10
    On the Structure and Solution of the Simultaneous Localisation and Map Building Problem

    183 citations · 1999

Key Collaborators

Contact & Links