Universitas Negeri Surabaya

🇮🇩 ID

Papers

148

Total Citations

1,106

H-Index

16

Researchers

184

About

Universitas Negeri Surabaya has established itself as a dynamic hub for robotics and intelligent systems research in Indonesia, with a particularly strong emphasis on biologically inspired control, autonomous navigation, and applied machine learning. Drawing on a diverse portfolio of work that has collectively garnered hundreds of citations, the institution's researchers tackle problems spanning humanoid locomotion, agricultural automation, computer vision, and mobile robot control — making it one of the more prolific robotics research centers in the region. A defining strength lies in the development of humanoid and bipedal robot systems. Landmark work on biologically inspired control for 3-D humanoid locomotion, which adapts muscular systems and neural oscillators from human physiology, has become a foundational reference in the field with over 50 citations. Complementing this, research on Zero Moment Point walking strategies and multi-modal pose estimation reflects a sustained commitment to advancing robot locomotion and stability. The institution also demonstrates impressive breadth in practical robotics applications. From an end-to-end coconut harvesting robot addressing Indonesia's agricultural needs, to a vision-based smart trash bin robot deployable in public spaces, researchers here consistently bridge theoretical innovation with real-world utility. Their work on SLAM, path planning, and occupancy grid mapping further positions the university at the forefront of autonomous navigation research for indoor and disaster-response environments. Competitive robotics has served as a powerful accelerator for this research culture. The ERSOW and EROS robot soccer platforms, developed for RoboCup's Middle Size League, have driven advances in omnidirectional vision, ball detection, and multi-sensor fusion. Prospective students and collaborators will find a vibrant, application-driven environment where embedded systems expertise, AI, and control theory converge — with growing international visibility and clear pathways for impactful, interdisciplinary collaboration.

Research Focus

Key Achievements

16
H-Index
148
Papers
1,106
Total Citations
184
Faculty & Researchers
🏆 Most Cited Paper
Biologically Inspired Control System for 3-D Locomotion of a Humanoid Biped Robot
54 citations · 2015
📊 Avg Citations/Paper: 7
📈 Most Prolific Year: 2020 (32)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Mobile robot, Computer vision

Top Papers

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Faculty & Researchers

Content generated · 42 days ago