Teng Hooi Chan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Teng Hooi Chan is a leading researcher in robotics and human-robot collaboration, with a focus on developing autonomous systems for critical applications such as search and rescue operations. His most cited work, "A Robotic System of Systems for Human-Robot Collaboration in Search and Rescue Operations" (2023), has already garnered 4 citations, reflecting its timely impact on advancing autonomous navigation and mapping missions. Dr. Chan’s major contribution lies in designing integrated robotic frameworks that enhance task efficiency by enabling seamless cooperation between humans and mobile platforms in hazardous environments. By exploiting progress in robot autonomy, his research addresses real-world challenges in disaster response, where rapid and reliable coordination is essential. His work is notable for bridging the gap between theoretical autonomy and practical deployment, offering scalable solutions that improve safety and effectiveness in high-stakes scenarios. Dr. Chan’s achievements underscore his commitment to pushing the boundaries of collaborative robotics, making him a pivotal figure in the field. For students and researchers, his profile exemplifies how innovative system-of-systems approaches can transform human-robot teamwork, paving the way for more resilient and adaptive technologies in emergency response and beyond.
Research Focus
Key Achievements
Top Papers
- 1