Papers
10
Total Citations
64
H-Index
6
About
Tatsuya Kai is a robotics and control systems researcher whose work spans two closely intertwined domains: bipedal locomotion and space robot control. His most significant contributions center on the application of discrete mechanics to gait generation for compass-type biped robots, where he developed principled optimization frameworks — leveraging sequential quadratic programming — to synthesize stable walking gaits across challenging terrains, including slopes and periodically unlevel grounds. This body of work, represented across multiple publications from 2011 to 2013, collectively demonstrates both theoretical rigor and practical relevance to legged robot locomotion. Equally notable is Kai's sustained investigation into space robots operating under the challenging constraint of initial angular momentum — a realistic condition in orbital environments. He has proposed near-optimal control strategies, model predictive control approaches, and robust control methods for universal joint and ball-in-socket joint space robot models in three dimensions, with his 2009 and 2010 papers each garnering nine and eight citations respectively. His 2018 work on robust nonlinear model predictive control further reflects his commitment to practical, uncertainty-aware solutions. With citations consistently accumulating across a focused research agenda, Kai has established himself as a methodical contributor to advanced robotic control theory.
Research Focus
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