Aun-Neow Poo
Papers
10
Total Citations
178
H-Index
7
About
Aun-Neow Poo is a robotics and automation researcher whose work spans bipedal locomotion, industrial robot control, and robotic micro-assembly. His most significant contributions lie in the development of intelligent gait generation and trajectory planning methods for bipedal walking robots, where he pioneered the application of genetic algorithms to optimize stable, energy-efficient walking patterns. His 2006 paper on Fourier series-based bipedal gait generation, which introduced real-time adjustability of stride frequency and step length, has garnered 32 citations and remains a foundational reference in humanoid robotics. Subsequent work on polynomial interpolation-based trajectory planning and the novel Augmented Linear Inverted Pendulum model further advanced the field's understanding of dynamic walking control. Beyond locomotion, Poo has made meaningful contributions to industrial automation, with his 2018 research on end-effector design and force control for finishing applications attracting 60 citations — his most impactful work to date. His earlier foray into biomedical robotics, developing a shape memory alloy gripper for micro-assembly of tissue engineering scaffolds, demonstrates remarkable breadth. Collectively, his publications reflect a career dedicated to bridging theoretical optimization with practical robotic implementation across diverse and challenging domains.
Research Focus
Key Achievements
Top Papers
- 1Design and control of an end-effector for industrial finishing applications60 citations · 2018
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- 5Optimal trajectory generation for bipedal robots11 citations · 2007
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- 8Optimized Joint-Torques Trajectory Planning for Bipedal Walking Robots4 citations · 2008
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- 10Extended development of LinuxCNC for control of a Delta robot3 citations · 2015