Papers
2
Total Citations
7
H-Index
2
About
Quang Tran Minh is a robotics researcher whose work bridges the gap between human intention and machine action, with a particular focus on service robotics and disaster response. His key research areas include commonsense knowledge extraction for human-robot interaction and the design of robotic systems for rescue applications. In his foundational 2013 paper, Minh proposed an innovative method for automatically building commonsense knowledge bases that enable robots to understand and execute human commands in domestic environments—a critical step toward truly intuitive human-robot communication. This work, which has garnered 4 citations, addresses the fundamental challenge of robots lacking the basic contextual understanding needed for everyday tasks like tidying up. More recently, Minh has applied his expertise to life-saving technology, co-authoring a 2022 study on the design of a robotic arm control model for rescue applications. This system, designed to assist in disaster scenarios such as earthquakes where human responders are unavailable, can autonomously pick up objects and move them to safe locations. With 3 citations, this work demonstrates Minh's commitment to translating robotic innovation into practical tools that enhance human safety and quality of life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of Robotic Arm Control Model for Rescue Applications3 citations · 2022