Papers

7

Total Citations

113

H-Index

7

About

Boonserm Kaewkamnerdpong is a leading researcher at the intersection of swarm intelligence and socially assistive robotics, with a particular focus on autism therapy. Her early work introduced the **Perceptive Particle Swarm Optimisation (PPSO)**—a novel variant of the conventional PSO algorithm designed for real-world physical agents where detailed social interaction is constrained. This foundational contribution, detailed in her 2005 paper (42 citations), has influenced adaptive control in robotics. More recently, Kaewkamnerdpong has pioneered the use of robots in autism intervention. She led the development of **BLISS**, a mobile robot with non-threatening facial features used in learning interventions to promote social skills and theory of mind in autistic children. Her work integrates noisy speech recognition with noise suppression for robot-assisted therapy (21 citations) and includes attention detection models from child behavior. Through studies on storytelling robots and daily routine games, she has demonstrated how robotic mediators can support therapists and reduce parental stress. With over 100 combined citations across her key publications, Kaewkamnerdpong’s research bridges computational intelligence and human-robot interaction, offering scalable, evidence-based tools for neurodevelopmental support.

Research Focus

Key Achievements

7
H-Index
7
Papers
113
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Perceptive particle swarm optimisation: an investigation
42 citations · 2005
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University College London, King Mongkut's University of Technology Thonburi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago