Oyas Wahyunggoro

About

Oyas Wahyunggoro is an Indonesian researcher whose work sits at the intersection of autonomous robotics, path planning, and intelligent control systems. His most significant contributions center on developing and refining algorithms that enable robots and unmanned aerial vehicles (UAVs) to navigate complex, dynamic environments safely and efficiently. Wahyunggoro has made particularly notable advances in Artificial Potential Field (APF) methodology, addressing longstanding limitations such as local minima and the GNRON problem through novel repulsive function designs. His 2015 paper on UAV obstacle avoidance using potential fields has garnered 77 citations, while his 2019 work on quadrotor path planning earned 61 citations, reflecting strong and sustained community interest in his contributions. Beyond UAVs, he has advanced mobile robot navigation through smoothed A-star algorithms tailored for nonholonomic systems and fuzzy cell decomposition techniques for unknown environments. His research also spans intelligent control, including fuzzy-logic-based self-tuning controllers and intelligent search algorithms for PID tuning in DC motor systems. Across more than a decade of research, Wahyunggoro has built a cohesive and impactful body of work that continues to influence engineers and researchers working on real-time autonomous navigation and adaptive control.

Research Focus

Key Achievements

Top Papers

1. 1
   UAV obstacle avoidance using potential field under dynamic environment

   77 citations · 2015
2. 2
   Artificial Potential Field Algorithm Implementation for Quadrotor Path Planning

   61 citations · 2019
3. 3
   Quadrotor Path Planning Based on Modified Fuzzy Cell Decomposition Algorithm

   33 citations · 2016
4. 4
   Application of Intelligent Search Algorithms in Proportional-Integral-Derivative Control of Direct-Current Motor System

   33 citations · 2019
5. 5
   Smoothed A-star Algorithm for Nonholonomic Mobile Robot Path Planning

   31 citations · 2019
6. 6
   An Integrated Artificial Potential Field Path Planning with Kinematic Control for Nonholonomic Mobile Robot

   24 citations · 2016
7. 7
   Path Planning Based on Fuzzy Decision Trees and Potential Field

   17 citations · 2016
8. 8
   A Novel of Repulsive Function on Artificial Potential Field for Robot Path Planning

   14 citations · 2016
9. 9
   Development of fuzzy-logic-based self tuning PI controller for servomotor

   12 citations · 2008
10. 10
    Path Planning Based on Fuzzy Decision Trees and Potential Field

    11 citations · 2016

Key Collaborators

Contact & Links