About

Kam Tim Woo is a researcher working at the intersection of robotics, artificial intelligence, and STEM education, with a focus on developing innovative solutions that bridge cutting-edge technology with real-world learning applications. His technical contributions include work on swarm robotics, where his 2017 paper on survivability-enhanced swarm robotic search systems employing multi-objective particle swarm optimization garnered seven citations, demonstrating early expertise in intelligent, adaptive robotic systems. More recently, Woo has explored humanoid robotics and machine learning, investigating human-inspired video imitation learning to generate naturalistic bipedal locomotion using generative adversarial approaches. Alongside his engineering research, Woo has emerged as a thoughtful advocate for inclusive and integrated STEM education. His 2024 studies examine how underwater robotics competitions and virtual robotics experiences can engage students from diverse backgrounds, fostering collaboration and deeper conceptual understanding through project-based learning, engineering design processes, and frameworks like Bloom's Taxonomy. These educational contributions reflect a commitment to making robotics accessible and meaningful beyond the laboratory. While his citation counts remain modest, his interdisciplinary range — spanning swarm intelligence, humanoid locomotion, and technology-enhanced pedagogy — positions him as a versatile researcher with growing influence across both technical and educational communities.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Survivability Enhanced Swarm Robotic Searching System Using Multi-objective Particle Swarm Optimization
7 citations · 2017
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Hong Kong University of Science and Technology, University of Hong Kong

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 1 days ago