Yasuo Tan

About

Yasuo Tan is a leading researcher in smart environments, networked robotics, and wireless communication systems. His pioneering work includes the development of QOMET, a multi-purpose wireless network emulator that enables realistic, scenario-driven evaluation of networked systems—a tool that has garnered 39 citations and remains foundational for researchers in wireless emulation. Tan has made significant contributions to integrating humanoid robots into smart home ecosystems, notably through ECHONET-based frameworks, and has advanced collaborative motion planning for autonomous robots operating in dynamic environments like disaster areas and offices. His recent work explores culturally competent robotics and the Web of Tactile Things (WoTT), aiming to standardize tactile data exchange for immersive human-robot interaction. With a career spanning from foundational emulation tools to cutting-edge tactile sensing, Tan’s research bridges the gap between simulation and real-world deployment, impacting fields from assistive robotics to smart infrastructure. His interdisciplinary approach and sustained innovation make his work essential reading for students and researchers in robotics, IoT, and human-computer interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   A Multi-Purpose Wireless Network Emulator: QOMET

   39 citations · 2008
2. 2
   Integrating a Humanoid Robot into ECHONET-Based Smart Home Environments

   12 citations · 2017
3. 3
   Collaborative motion planning of autonomous robots

   11 citations · 2007
4. 4
   An Experimental Study on Culturally Competent Robot for Smart Home Environment

   6 citations · 2020
5. 5
   Integration of Web of Tactile Things for Soft Vision-Based Tactile Sensor Toward Immersive Human-Robot Interaction

   2 citations · 2024
6. 6
   Real-time emulation of networked robot systems

   2 citations · 2008

Key Collaborators

Contact & Links