Papers
1
Total Citations
9
H-Index
1
About
Andy Kho is a pioneering researcher at the intersection of robotics, neuroscience, and bio-inspired engineering. His primary research areas include biologically-inspired robotics, central pattern generator (CPG) networks, and neuromorphic circuit design. Kho’s most notable contribution is the development of ANIBOT, the first biologically-inspired animal robot to realize a quadruped controlled by a hardware CPG network of neurons. This groundbreaking work, published in 2022, bridges theoretical models of neural symmetry from Golubitsky et al. with tangible robotic locomotion, demonstrating how neural circuit principles can directly govern mechanical movement. Though early in his career, Kho’s work has already garnered 9 citations, signaling its foundational impact on the emerging field of bio-hybrid robotics. By translating abstract neural dynamics into functional hardware, Kho is laying the groundwork for more adaptive, lifelike robots. His achievements mark a significant step toward understanding how biological neural networks can inspire efficient, autonomous robotic systems, making him a rising figure to watch in the quest for truly animal-like machines.
Research Focus
Key Achievements
Top Papers
- 1Meet ANIBOT: The First Biologically-Inspired Animal Robot9 citations · 2022