Kok Lay Teo
Papers
4
Total Citations
33
H-Index
3
About
Kok Lay Teo’s research advances the frontiers of optimal control theory and its applications to complex robotic systems. His key contributions lie in developing efficient computational methods for solving optimal control problems, particularly for differential-algebraic systems and multi-link robot arms. His 2017 work on sequential computational approaches using implicit Runge–Kutta integration (13 citations) provides a powerful framework for tackling challenging optimal control problems. Teo’s 2015 paper on adaptive Jacobian force/position tracking for space free-flying robots (13 citations) addresses critical challenges in robotic manipulation with prescribed transient performance. His foundational 1997 study on optimal control of multi-link vertical planar robot arms under gravity (4 citations) tackles the fundamental problem of generating workable initial guesses for control parametrization algorithms in chaotic systems. Additionally, his 2013 work on path planning for underactuated Dubins micro-robots (3 citations) explores optimal coverage strategies for non-holonomic robots. Through these contributions, Teo has established himself as a leading figure in computational optimal control, with his methods enabling more efficient and reliable control of complex dynamical systems across robotics and aerospace applications.
Research Focus
Key Achievements
Top Papers
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