Jyun-Da Wu
Papers
1
Total Citations
77
H-Index
1
About
Jyun-Da Wu is a leading researcher in intelligent robotics and autonomous vehicle systems, with a primary focus on developing multifunctional controllers for carlike mobile robots (CLMRs). His most-cited work, "Multifunctional Intelligent Autonomous Parking Controllers for Carlike Mobile Robots" (2009, 77 citations), addresses the critical challenge of designing safe and efficient autonomous parking systems that integrate obstacle avoidance—a key concern for novice drivers and real-world deployment. Wu’s contributions lie in advancing fuzzy logic and neural network-based control architectures that enable CLMRs to navigate complex, constrained environments with precision. Beyond parking, his research spans adaptive path planning and human-robot interaction, aiming to bridge the gap between theoretical robotics and practical automotive safety. With over 77 citations on this seminal paper alone, Wu’s work has influenced subsequent studies in autonomous driving and mobile robotics, particularly in low-speed maneuvering scenarios. His achievements highlight a commitment to making autonomous systems both intelligent and trustworthy, offering foundational insights for students and researchers exploring the intersection of robotics, control theory, and vehicular automation.
Research Focus
Key Achievements
Top Papers
- 1