Chandima Dedduwa Pathiranage
Papers
7
Total Citations
26
H-Index
3
About
Chandima Dedduwa Pathiranage is a robotics researcher whose work centers on solving the fundamental challenge of Simultaneous Localization and Mapping (SLAM) for mobile robots. His primary contributions lie in developing novel estimation techniques that improve how robots navigate unknown environments while building maps of their surroundings. Pathiranage pioneered the use of pseudolinear Kalman filters (PLKF) for SLAM, offering a more computationally efficient alternative to traditional nonlinear approaches. He further advanced the field by integrating fuzzy logic systems with Kalman filtering, creating robust solutions that handle sensor uncertainty and nonlinear dynamics in nonholonomic robots. His Takagi-Sugeno fuzzy model adopted SLAM algorithms, combined with linear programming-based data association methods, represent a significant step toward more reliable multi-sensor navigation. Beyond core SLAM, Pathiranage explored emotionally intelligent robot systems, investigating how artificial emotions can generate cooperative behaviors in multi-robot teams. With his most cited work accumulating over 25 citations, his research has contributed to the theoretical foundations of mobile robot navigation, particularly in addressing bias reduction and data association challenges that remain central to autonomous systems development.
Research Focus
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Top Papers
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