Papers
35
Total Citations
350
H-Index
12
About
Azhar Aulia Saputra is a robotics researcher whose work spans biologically inspired control systems, legged locomotion, and autonomous robot navigation. His research draws deeply from neuroscience and biomechanics, translating principles of the human muscular system, neural oscillators, and ecological psychology into practical robotic frameworks. Saputra first gained significant recognition with his 2015 paper on biologically inspired 3-D locomotion control for humanoid biped robots, which has accumulated 54 citations and remains his most influential contribution. He extended this neuromusculoskeletal approach to quadruped platforms, most notably through the AQuRo robot — a cat-inspired adaptive system capable of traversing challenging terrains including vertical ladders without handrail support, a previously unmet challenge in the field. His 2021 work integrating reflexes and external sensory information in quadruped locomotion reflects a maturing synthesis of biology and cognitive robotics. Beyond locomotion, Saputra has contributed to real-time 3-D point cloud processing for ladder detection and brain-inspired dynamic path planning for rough terrain navigation. With over 200 cumulative citations across his published work, he represents a productive voice in the intersection of biomimetic robotics and intelligent autonomous systems, offering frameworks that continue to influence both academic research and practical robot design.
Research Focus
Key Achievements
Top Papers
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- 6Neuro-Activity-Based Dynamic Path Planner for 3-D Rough Terrain17 citations · 2017
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- 9Adaptive motion pattern generation on balancing of humanoid robot movement14 citations · 2015
- 10Efficiency energy on humanoid robot walking using evolutionary algorithm14 citations · 2015