Rosley Sawarno
Papers
1
Total Citations
3
H-Index
1
About
Rosley Sawarno is a robotics researcher whose work bridges simulation and real-world autonomous navigation, with a particular focus on omni-wheel mobile platforms. His most cited paper, "Obstacle Avoidance of a 3WD Omni-Wheel Mobile Robot in Webots Environment" (2021), addresses a critical gap in competitive robotics—namely, the lack of simulation-based testing among Robocon participants. By developing and validating an obstacle avoidance algorithm in the Webots environment, Sawarno demonstrated how simulation can accelerate design iteration and improve robot reliability before physical deployment. This contribution is especially relevant for fast-paced, objective-oriented competitions where traditional trial-and-error methods are time-consuming. While his citation count is modest, the work’s practical impact is notable: it provides a replicable framework for integrating simulation into robot development workflows, potentially reducing costs and failure rates. Sawarno’s research sits at the intersection of mobile robotics, control systems, and simulation-based validation, offering a pragmatic approach to autonomous navigation challenges. His work serves as a valuable resource for students and engineers seeking to enhance robot performance through systematic simulation, particularly in competitive or resource-constrained settings.
Research Focus
Key Achievements
Top Papers
- 1