Dang Khoa Phan
Papers
1
Total Citations
2
H-Index
1
About
Dang Khoa Phan is a robotics researcher whose work centers on human-robot interaction and multi-modal control systems for specialized autonomous platforms. His primary research focuses on developing intuitive, robust control methods that integrate voice commands and hand gesture recognition, enabling robots to operate effectively in hazardous environments. Phan’s most notable contribution is the Surveillance Spider Robot (SSR), a bio-inspired platform designed to traverse challenging terrain—including walls and uneven surfaces—for search-and-rescue and surveillance missions. His paper “Innovative Multi-Modal Control for Surveillance Spider Robot: An Integration of Voice and Hand Gesture Recognition” (2024) introduces a novel fusion of sensory inputs that allows operators to command the robot seamlessly in high-risk scenarios, such as locating lost individuals in collapsed structures. This work has already garnered early citations, reflecting its relevance to advancing field robotics. Phan’s achievements include demonstrating how multi-modal interfaces can overcome the limitations of single-input systems, improving both safety and operational efficiency. His research stands at the intersection of robotics, artificial intelligence, and human factors, offering practical solutions for real-world challenges in disaster response and remote inspection.
Research Focus
Key Achievements
Top Papers
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