Ahmet Onat
Papers
12
Total Citations
208
H-Index
6
About
Ahmet Onat is a robotics researcher whose work spans legged locomotion, humanoid robot design, and probabilistic control methods. His most influential contribution came in the early 2000s when he pioneered biologically inspired control architectures for quadruped robots, demonstrating how nonlinear oscillators could elegantly govern gait pattern generation and leg motion — work that has garnered over 110 citations and remains a foundational reference in locomotion robotics. Building on this foundation, Onat led the development of SURALP, a full-body humanoid robot platform created at Sabanci University in Turkey, featuring 29 independently driven axes across legs, arms, waist, and neck — a technically ambitious platform that showcased his capacity to translate theoretical insights into complex real-world systems. In later years, Onat turned toward Bayesian and reinforcement learning approaches for robot control, developing Markov Chain Monte Carlo methods for policy search and trajectory control of robotic manipulators, bridging probabilistic machine learning with practical robotics challenges. His career reflects a consistent trajectory from bio-inspired locomotion to data-driven intelligent control, with contributions spanning mobile robots, medical visualization, and autonomous navigation, marking him as a versatile and forward-looking figure in robotics research.
Research Focus
Key Achievements
Top Papers
- 1Adaptive gait pattern control of a quadruped locomotion robot112 citations · 2002
- 2SURALP: A new full-body humanoid robot platform22 citations · 2009
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- 5SURALP-L - The leg module of a new humanoid robot platform11 citations · 2008
- 6A Markov chain Monte Carlo algorithm for Bayesian policy search10 citations · 2018
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- 9Robot-Assisted Medical Visualization with Floating Images3 citations · 2012
- 10Basic configuration for mobile robots3 citations · 2004