About

Yi-Shiun Wu is a robotics researcher whose work bridges tangible interaction, modular design, and autonomous systems. His primary research areas include educational robotics, human-robot interaction, and autonomous navigation. Wu made significant contributions through the development of the **Modulo Cellulo** system (2022), a modular version of the Cellulo educational robot platform that enhances versatility in classroom and therapeutic settings by enabling reconfigurable physical interactions. He also pioneered **DupRobo** (2019), an interactive robotic system that autonomously completes repetitive block-based structures, demonstrating novel approaches to physical autocompletion tasks. Earlier, Wu developed a **wireless charging robot** for indoor environments using probabilistic roadmap path planning (2016), which has garnered 7 citations for its practical application in autonomous charging solutions. His work on Modulo Cellulo, though recent with 2 citations, represents an important step toward scalable, modular educational tools. Wu’s research consistently emphasizes tangible, user-friendly robotic systems that adapt to real-world constraints, making his contributions valuable for advancing interactive robotics in education and everyday environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Development of Wireless Charging Robot for Indoor Environment Based on Probabilistic Roadmap
7 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: National Taipei University, Human Computer Interaction (Switzerland), École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago