Yohannes C. H. Yuwono
Papers
2
Total Citations
33
H-Index
2
About
Yohannes C. H. Yuwono is a robotics researcher specializing in control systems and autonomous navigation, with a particular focus on nonholonomic mobile robots and self-balancing platforms. His most influential work, the "Smoothed A-star Algorithm for Nonholonomic Mobile Robot Path Planning" (2019, 31 citations), addresses a critical limitation of conventional path planning methods. By modifying the classic A-star algorithm to eliminate sharp turns, Yuwono enabled smoother, more physically feasible trajectories for robots with nonholonomic constraints—such as differential-drive vehicles that cannot move sideways. This contribution bridges the gap between theoretical path planning and real-world robot kinematics, making it a valuable reference for researchers in autonomous navigation. In his more recent work (2023), Yuwono compares the efficiency of state-feedback controllers for stabilizing two-wheeled robots, a classic challenge in control engineering due to their inherent instability. His comparative analysis provides practical insights for hobbyists and engineers seeking robust balancing solutions. With a growing citation footprint, Yuwono’s research demonstrates a clear commitment to solving tangible problems in mobile robotics, from path smoothing to dynamic stabilization, establishing him as a thoughtful contributor to the field.
Research Focus
Key Achievements
Top Papers
- 1Smoothed A-star Algorithm for Nonholonomic Mobile Robot Path Planning31 citations · 2019
- 2