About

Kemalettin Erbatur is a prominent robotics and control systems researcher whose work spans two defining areas: biped and humanoid robot locomotion, and intelligent sliding-mode control. He is perhaps best known for his pioneering contributions to walking reference trajectory generation, particularly his development of natural Zero Moment Point (ZMP) trajectories for biped robots — a framework that has become foundational in humanoid locomotion research, earning his 2008 paper nearly 200 citations. His early 2003 work on ZMP measurement for biped walking robots (128 citations) further established him as a key figure in quantifying and understanding balance dynamics in legged systems. Erbatur also made significant contributions to robust control theory, proposing adaptive fuzzy systems to elegantly solve the chattering problem inherent in sliding-mode controllers — work that attracted substantial attention across the robotics community. A landmark achievement in his career is the SURALP humanoid robot, a 29-degree-of-freedom full-body platform developed at Sabanci University, Turkey, which served as a testbed for his locomotion algorithms. His more recent research extended ZMP-based methods to quadruped robots and advanced state estimation for walking bipeds, reflecting a sustained, evolving research vision with lasting influence on legged robotics worldwide.

Research Focus

Key Achievements

14
H-Index
47
Papers
854
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Natural ZMP Trajectories for Biped Robot Reference Generation
195 citations · 2008
📈 Most Prolific Year: 2002 (6 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Sabancı Üniversitesi, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Yokohama National University, TÜBİTAK Marmara Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago