Lindsay Kleeman

About

Lindsay Kleeman is a pioneering robotics researcher whose work has fundamentally advanced mobile robot navigation, sensing, and mapping. Based at Monash University, Kleeman has built a distinguished career centered on ultrasonic sensing, simultaneous localization and mapping (SLAM), and autonomous navigation systems. Kleeman's most influential contribution is the development of advanced sonar array technology for mobile robots, enabling accurate target localization and classification in indoor environments at ranges up to 8 meters — work that has accumulated over 350 citations across multiple publications. This foundational sensing research was complemented by rigorous odometry modeling, with his 2002 paper on accurate dead-reckoning error modeling garnering 225 citations and becoming a key reference for mobile robotics practitioners worldwide. His research progressively tackled the challenging SLAM problem, integrating sonar with laser range finders and Kalman filtering techniques to produce robust, real-world mapping solutions. Notably, his work on interactive SLAM introduced innovative human-robot collaboration for environment mapping. Later research expanded into outdoor visual navigation, demonstrating the breadth of his expertise. With a body of work exceeding 1,000 citations, Kleeman's contributions have profoundly influenced how mobile robots perceive, localize within, and navigate complex environments, making his research essential reading for anyone entering autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile Robot Sonar for Target Localization and Classification

   276 citations · 1995
2. 2
   Accurate odometry and error modelling for a mobile robot

   225 citations · 2002
3. 3
   Optimal estimation of position and heading for mobile robots using ultrasonic beacons and dead-reckoning

   176 citations · 2003
4. 4
   Interactive SLAM using Laser and Advanced Sonar

   105 citations · 2006
5. 5
   Advanced sonar and laser range finder fusion for simultaneous localization and mapping

   97 citations · 2005
6. 6
   Feature-Based Mapping in Real, Large Scale Environments Using an Ultrasonic Array

   97 citations · 1999
7. 7
   Robust Appearance Based Visual Route Following for Navigation in Large-scale Outdoor Environments

   81 citations · 2009
8. 8
   An optimal sonar array for target localization and classification

   75 citations · 2002
9. 9
   Mobile-Robot Map Building from an Advanced Sonar Array and Accurate Odometry

   67 citations · 1999
10. 10
    Advanced sonar and odometry error modeling for simultaneous localisation and map building

    56 citations · 2004

Key Collaborators

Contact & Links