Veerachart Srisamosorn

The University of Tokyo, Thammasat University

Papers

3

Total Citations

22

H-Index

2

About

Veerachart Srisamosorn specializes in robotics, autonomous systems, and human-robot interaction, with a particular focus on tracking and control technologies for unmanned vehicles. His most cited work, "Human-tracking system using quadrotors and multiple environmental cameras for face-tracking application" (2017, 14 citations), introduces an innovative indoor system that integrates fixed environmental cameras with a quadrotor to continuously track a person’s position and orientation—a critical capability for applications in healthcare monitoring and assistive robotics. This research demonstrates how distributed sensing and aerial platforms can work together to maintain robust face tracking, even in cluttered environments. Earlier, Srisamosorn contributed to underwater robotics with "A robust adaptive control algorithm for remotely operated underwater vehicle" (2013, 6 citations), developing an adaptive control scheme that enables stable horizontal maneuvering and automatic depth/heading regulation for ROVs using joystick input and onboard sensors. His 2016 paper on "Design of Face Tracking System Using Environmental Cameras and Flying Robot for Evaluation of Health Care" further extends this line of work toward practical healthcare evaluation. Srisamosorn’s research bridges perception, control, and real-world deployment, offering valuable insights for students and engineers working on autonomous tracking systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Human-tracking system using quadrotors and multiple environmental cameras for face-tracking application
14 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: The University of Tokyo, Thammasat University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago