Papers
12
Total Citations
160
H-Index
6
About
Dr. Dalai Tang is a leading researcher in assistive robotics and intelligent systems, with a primary focus on developing technologies to support aging populations. Her work centers on the creation of "Informationally Structured Space" (ISS)—a sensor-rich environment that enables robot partners to perceive, interact with, and monitor human activities. Tang’s major contributions include pioneering multimodal communication frameworks that allow robots to understand human gestures, speech, and emotional states, as well as novel human localization methods using fuzzy spiking neural networks. Her highly cited 2015 paper on multimodal communication (57 citations) and her foundational 2010 work on fuzzy spiking neural networks (44 citations) have significantly advanced the field of human-robot interaction. Tang has also made notable strides in real-time visual SLAM for dynamic scenes and anomaly detection in daily life monitoring for elderly care. Her work on life log visualization and emotional models for robot partners further underscores her commitment to creating intuitive, supportive robotic systems. With a growing body of impactful research, Dr. Tang continues to shape the future of assistive robotics, bridging the gap between advanced AI and real-world caregiving needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Real-time visual SLAM based YOLO-Fastest for dynamic scenes14 citations · 2024
- 4Robot Partner Development Using Emotional Model Based on Sensor Network9 citations · 2012
- 5
- 6
- 7
- 8
- 9
- 10