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
Top Papers
- 1
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- 3Autonomous Robotic in Agriculture: A Review42 citations · 2020
- 4Implementation of Line Follower Robot based Microcontroller ATMega32A41 citations · 2020
- 5Accelerometer Implementation as Feedback on 5 Degree of Freedom Arm Robot37 citations · 2020
- 6Movement control of two wheels balancing robot using cascaded PID controller34 citations · 2015
- 7End-to-end coconut harvesting robot29 citations · 2016
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- 9
- 10Speed and balancing control for unicycle robot20 citations · 2016
Faculty & Researchers
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