Taiyu Chen

Papers

Total Citations

H-Index

About

Taiyu Chen is a robotics researcher specializing in real-time perception, simultaneous localization and mapping (SLAM), and autonomous navigation for resource-constrained platforms. His work addresses critical challenges in deploying intelligent robots in dynamic, occluded environments where computational power is limited. Chen’s major contributions include developing a dynamic SLAM algorithm that integrates object tracking to maintain robust localization even under severe occlusions—a key advancement for robots operating in cluttered or unpredictable settings. This work, published in 2024, has already garnered 4 citations, reflecting its relevance to the field. Additionally, Chen has pioneered a real-time flame detection and localization system for firefighting robots, enabling rapid hazard identification and response in emergency scenarios. This 2025 publication, with 3 citations, underscores his focus on practical, life-saving applications. By pushing the boundaries of efficient perception and mapping on embedded devices, Chen is helping to make autonomous robots more capable and reliable in real-world missions, from industrial inspection to disaster response.