Papers

9

Total Citations

292

H-Index

4

About

Koliya Pulasinghe is a pioneering researcher at the intersection of robotics, artificial intelligence, and human-robot interaction, with a particular focus on speech-controlled systems and assistive technologies. His foundational work on integrating particle swarm optimization with fuzzy-neural networks for voice-controlled robot systems, published in 2005 and garnering over 200 citations, established a novel framework for translating spoken language into precise robotic actions. This breakthrough addressed critical challenges in interpreting fuzzy linguistic commands and handling out-of-vocabulary words in natural conversation, as demonstrated in his modular fuzzy-neuro controller research. More recently, Pulasinghe has applied his expertise to socially assistive robotics, developing culturally adaptive systems for autism intervention. His 2024 work on multimodal interaction using the NAO robot for Sinhala-speaking Sri Lankan children with autism spectrum disorder represents a significant contribution to culturally sensitive assistive technology. His ongoing research explores adaptive voice modulation, intelligent dialog systems, and culturally appropriate emotional gestures for therapeutic robotics, demonstrating a sustained commitment to making advanced robotics accessible and beneficial for diverse populations.

Research Focus

Key Achievements

4
H-Index
9
Papers
292
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
A Particle-Swarm-Optimized Fuzzy–Neural Network for Voice-Controlled Robot Systems
206 citations · 2005
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Saga University, Sri Lanka Institute of Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago