Papers
7
Total Citations
69
H-Index
5
About
Arthicha Srisuchinnawong is a pioneering researcher in bio-inspired robotics and neural locomotion control, whose work bridges the gap between biological adaptability and robotic autonomy. Her research focuses on developing modular neural control systems that enable legged robots—from gecko-inspired climbers to bipedal walkers—to dynamically adapt gaits and navigate complex, unstructured environments. Among her most impactful contributions is the creation of adaptive modular neural control (AMNC) for assistive lower-limb exoskeletons, which achieves online gait synchronization to enhance human-robot interaction and assistance performance. She has also advanced robotic pipe inspection by enabling bipedal robots to balance on curved surfaces, traverse vertical pipes, and overcome obstacles like flanges. Her work on tailless gecko robots demonstrates how neural control can replicate the versatile locomotion of geckos across varying slopes. With over 69 citations across her key publications, Srisuchinnawong’s research has been recognized for its practical impact, including the development of NeuroVis, a real-time neural information visualization tool that enhances transparency in embodied neural systems. Her achievements underscore a commitment to creating adaptive, trustworthy robotic systems that operate seamlessly in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 4Neural Control for Gait Generation and Adaptation of a Gecko Robot12 citations · 2019
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- 6GRAB: GRAdient-Based Shape-Adaptive Locomotion Control3 citations · 2021
- 7Word Recognition in Captured Images by CNN Trained with Synthetic Images2 citations · 2018