Thipawan Pairam
Papers
1
Total Citations
13
H-Index
1
About
Thipawan Pairam is a leading researcher in the fields of bio-inspired robotics and computational neuroscience, with a focus on decentralized neural control for legged locomotion. Her most cited work, "Self‐Organized Stick Insect‐Like Locomotion under Decentralized Adaptive Neural Control: From Biological Investigation to Robot Simulation" (2023, 13 citations), exemplifies her major contribution: bridging the gap between biological neural mechanisms and robotic implementation. Pairam’s research investigates how stick insects, such as *Medauroidea extradentata*, achieve self-organized, adaptive movement without centralized control, and translates these principles into robust hexapod robot simulations. This work is notable for its interdisciplinary approach, combining detailed biological observation with advanced neural network modeling to create more resilient and naturalistic robotic locomotion. By demonstrating how decentralized adaptive control can produce stable, insect-like gaits, Pairam’s findings offer valuable insights for both robotics engineers seeking to improve autonomous navigation and neuroscientists studying motor control. Her research has significant implications for developing robots that can traverse complex, unstructured terrains, and her citation record reflects growing interest in her innovative synthesis of biology and engineering.
Research Focus
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Top Papers
- 1