Dong‐Woo Cho

About

Dong-Woo Cho is a pioneering researcher in autonomous mobile robotics, with a career-spanning focus on probabilistic sensor modeling, environment mapping, and robot navigation. His foundational 1990 work on Bayesian certainty grid representation—now with 59 citations—established a rigorous probabilistic framework for integrating sonar sensor data into navigable spatial maps, a contribution that helped shape modern approaches to occupancy grid mapping. Building on this, Cho made seminal advances in addressing one of sonar-based robotics' most persistent challenges: specular reflection, where sound waves bounce unpredictably off smooth surfaces. His specular reflection probability method, introduced in 1994 and further refined in a physically grounded 2003 model, enabled robots to construct accurate probabilistic maps even in acoustically difficult environments. Throughout the 1990s and 2000s, Cho's lab produced influential experimental and theoretical work on feature-based map building, data association filtering, and extended Kalman filter localization—collectively advancing the reliability of simultaneous localization and mapping (SLAM) for real-world deployment. His 2012 work on salient sonar features for EKF-SLAM demonstrated sustained engagement with cutting-edge robotics challenges. With a body of work accumulating over 240 citations, Cho's research represents a rigorous and enduring contribution to the foundations of autonomous mobile robot perception and navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Certainty Grid Representation for Robot Navigation by a Bayesian Method

   59 citations · 1990
2. 2
   Physically based sensor modeling for a sonar map in a specular environment

   45 citations · 2003
3. 3
   Specular Reflection Probability in the Certainty Grid Representation

   36 citations · 1994
4. 4
   Experimental investigation of mapping and navigation based on certainty grids using sonar sensors

   25 citations · 1993
5. 5
   Feature based map building using sparse sonar data

   23 citations · 2005
6. 6
   Sonar Map Construction for Autonomous Mobile Robots Using a Data Association Filter

   16 citations · 2009
7. 7
   Sonar Grid Map Based Localization for Autonomous Mobile Robots

   14 citations · 2008
8. 8
   Novel Sonar Salient Feature Structure for Extended Kalman Filter-Based Simultaneous Localization and Mapping of Mobile Robots

   9 citations · 2012
9. 9
   General Feature Extraction for Mapping and Localization of a Mobile Robot Using Sparsely Sampled Sonar Data

   9 citations · 2009
10. 10
    Sonar mapping of a mobile robot considering position uncertainty

    8 citations · 1997

Key Collaborators

Contact & Links