Papers
17
Total Citations
361
H-Index
11
About
Ahmad Ataka is a robotics researcher whose work spans soft robotics, continuum manipulators, eversion robots, and autonomous navigation. He has made pioneering contributions to the modeling and control of biologically inspired robotic systems, most notably publishing the first kinematic control framework for continuum manipulators using a fuzzy-model-based approach — a paper that has garnered 82 citations and remains a landmark reference in the field. His research into inflatable eversion robots, which mimic plant-like tip-growing behavior, has advanced both pose control and structural maneuverability, earning significant recognition with dozens of citations across multiple studies. Ataka has also contributed innovative work in soft robotic sensing, developing silicone-based capacitive electronic skins capable of simultaneously detecting internal deformations and external forces. Beyond soft robotics, his magnetic-field-inspired navigation algorithms offer elegant solutions to obstacle avoidance in unknown environments for both holonomic and non-holonomic robots. Earlier in his career, he addressed UAV formation control using potential-function strategies. Collectively, his publications have accumulated over 300 citations, reflecting a sustained impact across multiple frontiers of modern robotics research and establishing him as a versatile and creative contributor to the field.
Research Focus
Key Achievements
Top Papers
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- 4Path planning and formation control via potential function for UAV Quadrotor30 citations · 2014
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- 6Silicone-based Capacitive E-skin for Exteroception and Proprioception22 citations · 2020
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